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Industrial Engineering - Science topic

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Early production of products is also considered as "Excess finished goods inventory" in lean wastes. If early production is considered in both types of wastes such as 'overproduction' and 'Inventory', there will be the chance of recurrence of same waste in different categories. How to avoid this duplication?
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I feel like SWIMTOOT or USWIMTOO is just a way of identifying waste. Whether the waste is identified as excess inventory or over production is negligible as you have identified the waste anyway. Which ever you pick you want to set that as a standard is your company so people are identifying it as the other type of waste.
Personally anything that is planned production i.e. if you plan early production of products, you've planned to make these so I wouldn't class them as over production.
If I think of castings. The first few off Aluminium Die Cast parts are usually scrap. This is because your trying to get the die up to temperature. The parts are unusable so they cant be classed as inventory. You've planned to manufacture them as part of running the machine in, so you cant class it as over production as you haven't created excess parts, they are un-useable so are scrap.
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hope you can help me, Thanks
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Dear Ms. Cueto!
May I kindly state, since I do not know the topics you are interested in, I just can provide you platforms, and context to utilize:
1) Martínez León, H.C. (2019), "Bridging theory and practice with Lean Six Sigma capstone design projects", Quality Assurance in Education, Vol. 27 No. 1, pp. 41-55. https://doi.org/10.1108/QAE-07-2018-0079, Available at: https://www.emerald.com/insight/content/doi/10.1108/QAE-07-2018-0079/full/html?skipTracking=true
2) Adeinat, I., Al Rahahleh, N. and Al Bassam, T. (2022), "Lean Six Sigma and Assurance of Learning (AoL) in higher education: a case study", International Journal of Quality & Reliability Management, Vol. 39 No. 2, pp. 570-587. https://doi.org/10.1108/IJQRM-01-2021-0017, Available at: https://www.emerald.com/insight/content/doi/10.1108/IJQRM-01-2021-0017/full/html
3) A case-study: Anna Trubetskaya and Hermann Mullers 2021. Transforming a global human resource service delivery operating model using Lean Six Sigma, International Journal of Engineering Business Management Volume 13: 1–16, Open access:
Yours sincerely, Bulcsu Szekely
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Research aimed at optimizing organizational processes and based on the Memory of Institutional History. Constituyen una fuente de valor referencial que pueden ayudar amejorar la calidad del funcionamiento de las organizaciones. ¿Hay algún comentario al respecto?
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I have developed a tool to evaluate 'Institutional Functioning' of Nursing Educational Institutions, probably with the thought in the same line. I would like to present it on this forum inviting opinion of the researchers.
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I'm studying master degree of Industrial Engineering filed of information system.
My question is here , what topic should I take that be new & controversial.
I would appreciate if anyone can help me to make the best decision.
Because after defending,
I want to make it a journal.
Best regards
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Supply chains and analysis
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Hello, I'm Deorita from Parahyangan Catholic University majoring in Industrial Engineering. As for now, I'm currently doing my thesis about the selection of HPLC machine supplier using ANP method. Can someone recommend me a sample of questionnaire on ANP method, or a suggestion on how to structure the question for the questionnaire?
Thank you so much for all the kind help.
Best regards,
Deorita.
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Dear all,
I am currently doing a master's thesis in the analytical network process. I have three questions about this. Please kindly share some information if you know about it.
Q1: I have 10 criteria and 4 alternatives. So the pairwise comparison for the questionnaire is a total of 240. It is too much and the respondents don't want to answer this long questionnaire. Please kindly suggest this.
Q2: For the pairwise comparison, how to control the consistency ratio for the questionnaire process.
Q2: Even though I have read textbooks about ANP manual calculation, still getting into trouble. Please suggest me for this also.
Thanks advance
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I really appreciate every answer because this project is going to be my Master Degree Thesis.
I have already studied a lot of softwares, such as: Ecolizer, openLCA, GaBi, SimaPro, Ecochain and Umberto, and many databases: Eco-invent, US LCI, ELCD, Environmental footprint and BioEnergieDAT.
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Beatriz Lopo Teixeira Muchas gracias!!
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This paper is a project to build a new function. I will propose a form of this function and I let people help me to develop the idea of this project, and in the same time we will try to applied this function in other sciences as quantum mechanics, probability, electronics …
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Are you sure you have defined your function correctly?
1. Usually z=x+iy. But in your function z is in the limit, thus being in both the arguments and what the integral is computed against. If z is not x+iy, the function is not a function of (x,y).
2. What do you mean by limit? Do you want to compute the case when z->0?
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Some journals give reviewers 60 days, others give 40 days, 30 days, or 20 days to review a paper. MDPI journals give only 10 days, but it can be extended if the reviewer needs more time. In my opinion, 10 days might be too short, but 60 days is excessive. Allowing 60 days for a peer review is adding to the response time unnecessarily, and disadvantaging the authors. I can thoroughly review a paper in a day (if I dedicate myself to it), or two at most. A reviewer should only accept a review request if they are not too busy to do it in the next 10 to 20 days. I have encountered situations in which a reviewer agrees to the review, but does not submit the review at the end of 60 days, wasting those valuable 60 days from the author. What do you think the allowed time for reviewers should be?
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15 day is enough....
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I am looking for a colleague or a supervisor to write an ISI Article about the area of SCM and Machine learning that I am keen on it
Anyone is interested to help me or colloborate with me just message me here
I am looking forward to your reply
Thank you
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Dear Ms. Ghorbani!
Please let me state you should talk to your Master thesis supervisor (s) first. In addition you can join free of charge to the Elsevier Researcher Academy and network with other professionals via LinkedIn:
Yours sincerely, Bulcsu Szekely
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Dear all, I want to solve three or four objective functions with the four or five decision variables (no. of decision variable> no of the objective function). There may be some game-theoretic approach to solve the problem. But I am searching for some MATHEMATICA code (Like the Direct Search method or other computational technique) to solve the problem. If there have, please suggest (other than GA).
Thank you.
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I will be grateful if you share your ideas about the applications of "Probability and Statistics" in Industrial Engineering. They could be the applications that were in the past or are in the present, or maybe in the future for industrial engineers.
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Hi,
I'm looking for insights on whether to forecast online sales with or without the returned stock. And what factors we shall consider.
Could you point me in the right direction? Thank you for any help you can offer.
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Hello Dears,
The future of all industries and life on Earth depends on the future of the energy industry. In this regard, choosing the best energy source and optimally investing in it is very important. In your opinion, which energy source will make the most of the future of the energy industry according to the uncertain environmental conditions?
Bests,
Dashtpeyma
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I think Solar and Hydroelectric energy will dominate in the future energy sector.
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Hello dear Professors, Researchers,..
Anyone in the discipline of industrial engineering would like to write an article in the area of SCM and AI? It is my pleasure to collaborate with you. just message me.
I look forward to hearing from you
Best regards
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Thank you for your response, I have a plan to do my Ph.D., and also I am interested in applied of AI in SCM. So I want to write an article in this area. And if possible I need someone to instruct me or collaborate with me. About the journal, I haven't chosen yet.
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In daily life single period and multi period inventory system is very necessary things. When the selling period is fixed that is we cant sell things outside that fixed time then it is called may be single period. Lets talk about it what is the actual definition.
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Single period inventory models are used typically for determining the optimal order quantity for a perishable product. The most famous example is the Newsboy (Newsvendor) problem, in which the demand for newspapers for a given day is random, there is a cost of overstocking (unsold papers) and understocking (lost profits). The objective is to minimize the expected daily cost and the decision variable is the number of papers to buy (for reselling). this model is useful for any other item that cannot be stocked to be sold in another period, you have to sell it during the period or it is wasted. Many products fit this category: Christmas trees, Halloween costumes, or any other item that is special day or event themed. Fresh produce and meat can be though of in this category as well.
On the other hand, multi-period models are used for items that can be stocked for long periods of time, and demand in subsequent periods can be satisfied from the inventory. The basic EOQ model is the simplest of these models.
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A huge amount of water is evaporated to cool down and solidify the liquid metal strands coming out of bottom of CCM mould. The steam contains significant latent and sensible heat energy, besides the vapour is significantly devoid of microbes and soluble salt. Can the water vapour and/or its heat content be reutilized to increase thermal efficiency of Continous casting, theoretically and economically (like distilled water production, reinjecting vapour to water treatment plant to reduce mineral load in water to be treated as well as water requirement)? If not, then why? (except for very low energy saving but high investment to recycle the heat)
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We are also working on the same topic i.e. to recover the heat content lost by the evaporation of cooling water during continous casting process.
If there is any relevant information with your kindly share with me also.
Thanks
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I need to find out what is the best algorithm to resolve this kind of assembly line. Somebody can say if the best way is modify some existing method?
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Work content distribution and shortest critical path calculation may work
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Dear researchers,
I have the following questions:
1. I want to know how I can read a number of TABLES and PARAMETERS from excel?
2. How can I make GAMS show the zero values as "0" in the results? Obviously, the program drops them...
I know how to convert one table or parameter from GAMS to excel. When I use 'xls2gms' or 'gdxxrw', it is ok but just for one table, for example.
However, in my case study, there is a sheet that contains many tables, and I don't know how to convert them to the assigned table names in GAMS. The ide shows an error with this regard!
Thanks for your help in advance.
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Hello to all professors and researchers,
What is your suggested topic for conducting an academic-operational thesis in one of the most up-to-date and efficient fields?
Please express your proposal in a combination of two fields of computer engineering and industrial engineering.
Thank you ...
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I believe that applications are today one of the priorities of Science.
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MICLASS and DCLASS coding system in group technology follow which type of coding: monocode, polycode or mixcode? Why Opitz classification and coding system is a mixed code. I can understand that there is the feature of polycode, but I cannot find any feature of monocode or hierarchical order in Opitz coding system.
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Sorry for the very very late answer (I saw this question now only).
This article has list of references that answer your question "Feature extraction from STEP (ISO 10303) CAD drawing files for metalforming process selection in an integrated design system"
The article is available on researchgate
please refer the references listed in it
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Hi,
I am looking for a good reference book about protection and relay settings to use it as a reference in my daily industry works (NOT looking for an academic oriented book). Can anybody introduce a good book in this topic? 
Thanks
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  1. Applied Protective Relaying by J. Lewis Blackburn writing for Westinghouse Electric .
  2. The Art and Science of Protective Relaying by C. Russell Mason.
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Hi. I'm an Industrial Engineering student and currently working on a qualitative research paper but I'm confused as to what analytical tool I can use for my data. I got STUDENT LEADERS' ACHIEVEMENTS AND MOTIVATIONS as research title and I'm using the Appreciative Inquiry Approach. Can anyone please suggest?Thank you.
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Dear Tebas,
Concentrate on the theory and implement into practices through pure data collection and its validation is the best tool of analytical research.
Tools and techniques in research are the statistical methods of collection, analysis, interpretation, presentation, and organization of data. Statistics which can provides numerous tools and techniques to analyze the data and interpret the results of the analysis. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data. It is important to decide the tools for data collection because research is carried out in different ways and for different purposes. Business analytics tools are types of application software that retrieve data from one or more business systems and combine it in a repository, such as a data warehouse, to be reviewed and analyzed. In research, once data is collected, the next step is to get insights from it. Data preparation, data validation, data editing, data coding , descriptive statistics, narrative analysis through the ground theory is best you can have for the analytical tools.
Quality research
Data analysis tools help researchers make sense of the data collected. It enables them to report results and make interpretations. The Analytical Tool collection includes examples in these areas, as well as special types of analytical tool used for data specific applications and data visualizations.. Usually when we think about analysis in research, we think about it as a stage in the process. One can use a range of software packages to analyse data from Access or Excel to dedicated packages, such as SPSS, Stata and R for statistical analysis of quantitative data, Nvivo for qualitative (textual and audio-visual) data analysis (QDA), or ArcGIS for analysing geospatial data.
Ashish
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Hello. My name is Rand and I'm an Industrial Engineering student. I'm currently working on my bachelor's thesis where I will be using a simulation-based DVSM. However, I got stuck on the logic behind the storage part and order picking for a warehousing 4.0. I came across your thesis which happens to be for a warehouse as well. Could you please help out with the logic? Thank you!
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Rand
I write essay's about what I think is logical. I became aware that my logic is like a fish in water where no other fish is interested in me. So I try to study the logic of somebody else hoping to keep in contact and to interchange the logic of one another and to find out some common logic.
quote
"the logic and limitations behind the storage part and order picking for a warehousing 4.0. I"
Can you tell me what is particular for the warehousing system 4.0.1. may be I can give you my view about it.
Ad
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I am looking for available databases for a standardized list of SOPs. More specifically, I am looking for a standardized SOP for anthocyanin extraction from deepwater rice. This SOP must be for industrial use.
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It has been seen that the instrument rating of an instrument mentioned in the operating manual is different from what is mentioned in the technical manual (Not all, but few). If we disregard the typing error, what are the actual reasons accounting for this difference?
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Dear Steven Cooke.
This question is related to Aviation wherein the assessment of airworthiness of some instrument found to be different in Operation manuals and Technical Manual. Operational manual is used by the Pilot/Operator whereas Technical Manual is used by Maintenance Engineering/Team. The Rating of instrument means the avionics component's operating scale with tolerance limit. For more details you can refer the avionics instrument specifications issued by various avaition agencies.
Thank you.
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NFF (No Fault Found) has the major contribution to reduce the operational availability, resources and increase the cost of Maintenance of any aircraft in aviation. The likely causes are human factors, maintenance training, faults reporting, fault analysis, corrective Maintenance and procedures. However, mitigating these issues are completely a tedious process wherein management skill can't achieve the desired results. So, what are the other parameters/ technical factors that need to be considered?
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Absolutely right sir. @Mr.Russel King.
Thank you.
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As we know in this pandemic, everything seems quite hard to control. I hope the researches could discuss and share their thoughts for researching at this time. Especially related in Industrial Engineering.
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As we all know that " Necessity is the mother of invention" . During World War II , whole world was facing scarcity in each and every field. then OPERATIONS RESEARCH taken birth. Like that COVID-19 , created disruption in all the functions of industries. So, each and every functions of industries can be tackle by Industrial Engineers and provide remedy through analytical approach.
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Hi,
In E-commerce, Do we make the forecast for the integrated channels or separately? What factors should we consider? Any case studies you would recommend?
I really appreciate any help you can provide.
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Dear Mhmd,
Channel integrating have two base one is online and another is offline. Channel integration refers to strategies aimed at consolidating customer information and its use to provide an all-encompassing view of the customer. Multi-channel or integrated channel selling or marketing is a strategy that offers customers multiple ways to buy products or services from a specific brand. The benefits of a successful multi-channel approach are numerous. Specifically, a multi-channel sales strategy allows a brand to engage with customers, increase average basket size, drive repeat transactions and grow customer base. Strategic trends are driving the next wave of supply chain evolution, creating different challenges and opportunities in industry sectors and services.
Forecasting e-commerce trends is watchful
1. Real-Time Shopping Customization
2. Artificially Intelligent Customer Service
3. Predictive Sales Analysis
4. Same-Day Delivery
5. Increased e-Commerce Usage
6. Use of Blockchain
Channel integrating e-commerce new trends into an existing multi-channel strategy; make sure that efforts are spread evenly between social media marketing, email marketing, physical and print advertising, mobile-based marketing, online and traditional video marketing and live events marketing.
Refer this site; this may be quite useful for case study.
Ashish
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To make the steel slab shrinkage calculations necessary to know the values of the TLE coefficients at different temperatures, including high. These values are absent in the Database of steel properties.
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Did that paper get published?
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I'm an master student of advanced information systems and my bachelor degree was in industrial engineering. My field of interest in industrial engineering was quality related topics like SQC, SPC, DoE, Six Sigma, etc. Now I'm looking for a proper topic for my master thesis which combines Data Science and Quality related topics.
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Quite often, QC data can be significantly unbalanced. I had a data set with 20+ variables and 100,000+ subjects from a line of a particular product, and 100-120 of the subjects came back for warranty work. The goal was to find the important variables to help predict which products would come back for warranty work. All the standard statistical methods failed. I didn't.
Maybe you can find a data set that has highly imbalanced data (Like cancer) and find something interesting.
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How do you measure the performance/utilization of a healthcare department/clinic? What methods/approaches/techniques/tools do you use or suggest? You have to consider the human factor. The resources of healthcare include nurses, doctors, technicians, assistants, etc.
Is the performance of a doctor measured by the number of patients treated? Or is the time spent by a nurse with patients, or is the performance of a clinic/department/hospital measured by the number of patients treated during the day?
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Dear Atalan,
Hello
First of all, I would like to thank you for asking this question and making this discussion!
Performance evaluation/assessment has been always one of the most interesting as well as important issues to study in different scientific/academic disciplines. In this regards, it could be interesting that this issue has been addressed prevalently in all academic studies and/or researches which are somehow related to the medical management.
As a short answer to your question, I respectfully recommend you to take the following steps;
1. Try to have an operational (not theoretic) definition for performance for your concerned medical units (departments).
2. Try to find a set of indices characterizing the notion of performance for your concerned medical departments.
3. Data gathering by standard or researcher – made questionnaires based on the performance indices defined during the previous step in order to quantitatively measure the indices.
4. Utilize the Data Envelopment Analysis (DEA) methodology to analyze and also compare the performance of unites included in the concerned medical department (or even, comparison of all different medical centers/departments in your research scope)
I hope the above could help you solve your problem!
Good luck!
Ali
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A correct interpretation of reliability analysis is determinative for researchers and industrial developers to refine their design and also prepare proper maintenance scheduling and safety analysis. However, I still see that many designers prefer to use classical safety factors instead of reliability analysis techniques. what's your sense about this.
For example, imagine that you are going to buy a bearing and I say you this bearing's reliability is 94% for the expected life of 5 years. it means that if you test 100 bearings under normal performance, almost 6 of them should fail after 5 years. does this analysis makes sense for you in your research and development?
and if the answer is yes, how do you use the outcome of reliability analysis in your research area. the answer is important for me because I am going to start developing commercial software for reliability analysis and it is important to see what are the expectations of experts from the reliability analysis methods.
Thanks,
Sajad
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Hamzeh Soltanali thanks, Hamzeh. Classical safety factors, I mean over-design instead of taking into account the reliability analysis.
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Hello. My name is Yiming and I'm a PhD candidate in Industrial Engineering. My PhD project focuses on serious games for teaching innovation processes.
I would like to know what are the key elements (essence) of the teaching of innovation processes.
This information is really important for designing effective serious games.
Thank you so much.
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Innovation is a process of change. Innovation is an open-ended process that has no fixed end goal. It can therefore not be totally planned and outcomes are always surprising. Learning innovation needs action as well as constant reflection, to make sure the process still heading in the right direction, and no unexpected negative side-effects occur. Innovation does not thrive well in a hierarchical setting, but is most effective in a networked constellation. The best way to learn innovation is problem-based, in practice.
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Hello,
I am a novice researcher in the field of clustering algorithms. DBSCAN was the one which its mathematical background draw my attention to itself but unfortunately, except biological- and medical-oriented fields, I couldn't imagine any other use cases for the algorithm. I would appreciate if anyone introduce me some useful resources which DBSCAN is used in fields except medical or biological ones. According to my bachelor degree (Industrial Engineering), I'm particularly looking for industrial and manufacturing instances.
Regards.
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Let’s think in a practical use of DBSCAN. Suppose we have an e-commerce and we want to improve our sales by recommending relevant products to our customers. We don’t know exactly what our customers are looking for but based on a data set we can predict and recommend a relevant product to a specific customer. We can apply the DBSCAN to our data set (based on the e-commerce database) and find clusters based on the products that the users have bought. Using this clusters we can find similarities between customers, for example, the customer A have bought 1 pen, 1 book and 1 scissors and the customer B have bought 1 book and 1 scissors, then we can recommend 1 pen to the customer B. This is just a little example of use of DBSCAN, but it can be used in a lot of applications in several areas.
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Research strategies in many institutions require to carefully investigating the future trends in disciplines. Other plans such as hiring researchers, establishing new labs, … are based on the how we look to the future of research and our understanding what others working in. I hope that researchers discuss this important issue and exchange the related experiences and knowledge.
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Artificial Intelligence (AI), operations research (OR) and modelling, supply chain (SC), robotics and renewable energy (RE).
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I am not sure if there exists a novel method to relate the state estimation method to the prediction of a survival function or reliability distribution function, which is more like a conventional method, in prognostics. Can anyone answer the question please?
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Thank you for your time, Dr. Jensen.
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My problem consists:
1. More than thousand Constraints and Variables
2. It is purely 0-1 programming i.e. all variables are binary.
3. Kindly note that I am not a good programmer.
Please provide me some links of books or videos discussing application of GA in Matlab for solving 0-1 programming with large number of variables and constraints.
I have gone through many YouTube videos but they have taken examples with only two or three variables without integer restrictions.
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Simple:
1) Open optimization toolbox
2) Select GA solver (and enter your objective function and constraint file detail)
3) Set lower bound as 0 upper bound as 1 (this set must be as many variable)
4) Under integer variable put index of all the variable whose values to be either 0 or 1
5) Run
You can get the result.
You may require basic knowledge of how to use optimization toolbox.
Hope that you can do it now.
Sincerely,
Alam
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Hello. I want to start PhD in industrial engineering this year. I have a master in industrial Eng. with the grade of 3.64/4.00.
What should I do?
Which universities can I apply for?
you can see my research background and CV in my profile page.
please help me by answer and recommend this question.
Yours sincerely,
Ali
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Dear Ali,
Congratulations on completing your masters program.
To answer your question: PhD requires a lot of drive, self motivation, isolated and collaborative creativity, please think this through, be sure you're completely ready and committed so as to get the best out of this.
Next is to identify what aspect of industrial engineering interests you, what you see yourself doing, enjoying and contributing to.
Then, identify school's that you will be interested in (effectively utilise google, connect with people on LinkedIn, research scholarly articles in your field, check scholarly forums).
While doing this, you would need to make a list of requirements by these schools, identify skills required to be successful, add to your skills if you feel you're not comfortable with certain requirements, keep growing.
You're also most likely to take the GRE with TOEFL/IELTS depending on the identified school's requirements. In addition, some will ask for abstract of your previous paper(s), Letter of Recommendation and Statement of Purpose. Do not forget, reach out to your prospective advisors, keep your initial email concise and meaningful, some will respond, some won't.
Keep researching, keep making inquiries.
It will all fit together.
Goodluck.
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Lean as in Lean Six Sigma is a very structured and mature approach. In software engineering there are few attempts to re-invent the wheel by resurfacing techniques used for over 50 years in manufacturing as "new approaches".
Although a laudable initiative in many cases it is just a smoke screen for certifications and training courses.
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The paper cited above is available at the link A Total Quality Organization Thru’ People (Part 21: Lean People, Mean People, Green People), FOUNDRY, An Indian Journal For Progressive Metal Casters, Vol. XXI, No. 2, Issue 123, pp. 41-48, May/June 2009. url= https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1633896
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What are some topics related to production and industrial engineers?
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There are lots, for example but not limited to:
Advanced automation
Connectivity
Cloud Computing
Block-chain Technology
Big Data - for identifying inefficiencies or production defects for example
Cyber Security
Augmented Reality
Industrial IOT - Machines / Internet Connectivity
Integrated Enterprise resource planning
All of these can bind together other relatively new manufacturing technologies such as:
Mass produced carbon composites
Additive manufacturing
laser welding
advances in paint technology - dirt repellent for example
Advanced robotics - reduce simple manual tasks
Advanced QA techniques such as in line CT scanning
Advancements in battery hybrid and battery tech - automotive.
Its a complex and diverse but very interesting topic. How do we advance technology in these instances manufacturing technologies and link them with the connectivity technology provided to us via the internet and software advances.
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I am looking for INDEXED conferences in these field, possibly with an impact factor. Any clues ?
It doesnt matter where ...
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You can look for some conferences on Operations Management field which can have as the main topic of discussion Industry 4.0 issues.
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While reading about high technological topics like dynamic scheduling in FMS in the context of Industry 4.0, being an Industrial Engineer, I find it very difficult to study about handling dynamic environment with codes. At the same time, I think this research topic is a hot area for research.
When I read about lean management tools such as value stream mapping. I find it easy. At the same time, I think this research topic is already being implemented everywhere and research papers are available with case studies.
Which topic should I choose? (trending+difficult vs easy+already implemented)
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Hello Nidhi, I believe the decision should not only be based on research opportunities but also on your own preferences. I usually advise students choosing dissertation topics to think about where the see themselves in the future. What type of job do you want to get? What career do you want to pursue?. Whether your topic is new or old and tested there will always be gaps to fill in and opportunity for theoretical/practical contributions. It all comes down to what you would enjoy the most.
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I am an undergraduate student in Production and Industrial Engineering, looking for a research proposal for applying in a doctoral program. Also, it would be great if you suggest some read. Or any suggestions?
Thank you for your time.
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There are number of research works in the area of FMS Scheduling. I would suggest that you have broader scope of scheduling challenges under different types and levels of automation. It would be instructive to look at the practical utility of the FMS concept in today's manufacturing environments. Please think through the features of an FMS and their impacts on scheduling rules and their preferences.
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Call for Papers
International journal of industrial engineering and operational research (IJIEOR) is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of industrial engineering. IJIEOR publishes original, quality articles reporting advances in industrial engineering theory, techniques, methodology, applications and practice. 
International journal of industrial engineering and operational research (IJIEOR) : http://ijieor.bgsarman.ir
ISSN: 2676-3311
IJIEOR applies the Creative Commons Attribution (CC BY) license to works that publish (read the human-readable summary or the full license legal code). Under this license, authors keep ownership of the copyright for their content, but permit anyone to download, reuse, reprint, modify, distribute and/or copy the content as long as the original authors and source are cited. No permission is needed from the authors or the publishers. Appropriate attribution can be provided by simply citing the original article. For any reuse or redistribution of a work, users have to also make clear the license terms under which the work was published. This broad license was developed to facilitate free access to, and unrestricted reuse of, original works of all kinds. Applying this standard license to your own work will ensure that it is freely and openly available in perpetuity. 
Subjects covered are:
Artificial Intelligence 
Engineering Economy and Cost Estimation
Ergonomics in Job and Work Design
Facilities Design and Location
Hazard and Risk Assessment and Mitigation
Healthcare Systems Engineering
IE Applications and Practices in  Energy Management
Management Information Systems
Infrastructure Engineering, Development & Management
Maintenance Engineering and Management
Materials Handling
Performance Analysis and Simulation
Production Systems Design, Planning and Control
Productivity and Business Strategies
Project Management
Service Systems Engineering and Management
Sustainable Engineering and Development
Total Quality Management and Quality Control
Work Measurement and Methods Engineering
Industrial Engineering Education and Practices
Green Resource Optimization
Operations Research and mathematical models
Optimization techniques and meta heuristics
Stochastic Processes
Game theory
Industrial Engineering
Operation Research
Logistics
Supply and Operations Management 
Editorial Board:
Professor Gerhard-Wilhelm Weber, Faculty of Engineering Management, Poznan University of Technology, Poland, Institute of Applied Mathematics, METU, Ankara, Turkey Dr. Reza Lotfi, Department of Industrial Enginering, Yazd University and CEO of Behineh Gostar Sanaye Arman Dr. Pandian Vasant, senior lecturer at Universiti Teknologi PETRONAS in Malaysia Dr. Sadia Samar Ali, Associate Professor of Department of Industrial Engineering, College of Engineering for Girls, King Abdul-Aziz University Dr. Sankar Kumar Roy, Department of Applied Mathematics with Oceanology and Computer Programming. Dr. Eren ÖZCEYLAN, Associate Professor in the Industrial Engineering Department University of Gaziantep Dr. Kathryn E. Stecke, Ashbel Smith Professor of Operations Management, University of Texas at Dallas, Naveen Jindal School of Management Dr. Audrius Kabasinskas, Department of Mathematical Modeling, Kaunas University of Technology Dr. Chefi Triki, Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Muscat, Oman Dr. Nadi Serhan Aydin, Department  of Industrial and Systems Engineering, Istinye University Dr. Sırma Zeynep Alparslan Gök, Süleyman Demirel University, Turkey Dr. Tomaz Brzeczek, Poznan University of Technology, Faculty of Engineering Management, Poland Dr. Rafał Michalski, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Poland Dr. Vilda Purutcuoglu, Department of Statistics,  Middle East Technical University Dr. Tatiana Tchemisova, Division of Mathematics, University of Aveiro Dr. Herman Mawengkang, Department of Mathematics, University of Sumatera Utara, Indonesia Dr. Hamid Reza Jafari, Department of Industrial Enginering,Islamic Azad University,Abhar Branch, Zanjan, Iran Dr. Mohammad Hosein Sattarkhan, Department of Industrial Engineering, Faculty of Engineering, Yazd University, Yazd, Iran Dr. Bohlool Ebrahimi,Satellite Research Institute, Iranian Space Research Center, Tehran, Iran Dr. Masoumeh Mirjafari, Azad University Rudehen branch, Tehran
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International journal of industrial engineering and operational research (IJIEOR)
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IEEE distribution test systems are widely used in papers and in books, but there only have unbalanced test feeders in IEEE website:http://ewh.ieee.org/soc/pes/dsacom/testfeeders/index.html
I do not know of any official IEEE website or publication that contains the balanced distribution test systems(e.g. IEEE 33-bus and 69-bus) .
Can anyone help me with this?
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You can also find information in the DigSilent PowerFactory simulation package under examples.
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Suppose in a three layer supply chain there are three different profit function TPs, TPm, TPr then total integrated profit is TIP=TPs+TPm+TPr, if we put TPs=0 then is it reduce to two layer supply chain or not?
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Yeah I mean Supply Chain Management prof. Bruno Durand
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The uncertainty fuzzy set theory (FST) plays a significant role in real world problems such as operation research, medical decision making, risk assessment, social science, decision making, reliability analysis.
Papers:
L.A. Zadeh, Fuzzy sets, Inform. Control, 8 (1965) 338-356.
S.H.Wei, S.M. Chen, A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers, Expert Syst. Appl. 36(1) (2009) 589598.
J. Ye , The Dice similarity measure between generalized trapezoidal fuzzy numbers based on the expected interval and its multicriteria group decision-making method, Journal of the Chinese Institute of Industrial Engineers, 29:6 (2012) 375-382, DOI: 10.1080/10170669.2012.710879.
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Dear,
You can use intuitionistic fuzzy topsis method to deal with vagueness and uncertainty for MCDM.
Thank You
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As I know, the conventional cutting stock problem can be easily solved by column generation.
Now I want to carry these cuts by truck carriers and this time we want to minimize the number of trucks for transport. ( of course, less waste of stock leads to less number of trucks)
How to formulate this problem in one ILP? Which meets the orders for cuts and also minimize used truck carriers.
Any paper or other resources to help me with this problem?
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Dear Amir,
I suggest you to see links and attached files on topic.
-Solving Two-stage Robust Optimization ... - Optimization Online
-1 Column Generation and the Cutting Stock Problem
-Chapter 3: Discrete Optimization – Integer Programming - Polimi
-Column generation strategies and decomposition approaches to the ...
Best regards
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There are lots of Optimization method /Evolutionary algorithms (EAs) in literature. Some of them is more effective (for solving linear/nonlinear problem) compared to other. But we don’t know which will fit our model. As a result we checked for everything as we can do. But cant get the desire result. Some of those methods are 1. Genetic algorithms (GA) ; Haupt and Haupt (2004) 2. Pattern search (Mathlab) 3. Particle swarm optimization (PSO), Binary Particle Swarm Optimization (BPSO); Eberhart and Kennedy (1995) 4. Bee optimization; Karaboga and Bosturk (2007) Pham et al (2006) 5. Cuckoo algorithm; Yang and Deb (2009, 2010) 6. Differential evolution (DE) ; Storn and Price (1995, 1997) 7. Firefly optimization; Yang (2010) 8. Bacterial foraging optimization; Kim, Abraham and Cho (2007) 9. Ant colony optimization (ACO) ; I Dorigo and Stutzle (2004) 10. Fish optimization; Huang and Zhou (2008) 11.Raindrop optimization ; Shah-Hosseini (2009) 12.Simulated annealing ; Kirkpatrick, Gelatt and Vecchi (1983) 13.Biogeography-based optimization (BBO), 14. Chemical reaction optimization (CRO) 15. A group search optimizer (GSO), 16. Imperialist algorithm 17. Swine flow Optimization Algorithm. 18. Teaching Learning Based Optimization (TLBO) 19. Bayesian Optimization Algorithms (BOA) 20. Population-based incremental learning (PBIL) 21. Evolution strategy with covariance matrix adaptation (CMA-ES) 22. Charged system search Optimization Algorithm 23. Continuous scatter search (CSS) Optimization Algorithm 24. Tabu search Continuous Optimization 25. Evolutionary programming 26. League championship algorithm 27. Harmony search Optimization algorithm 28. Gravitational search algorithm Optimization 29. Evolution strategies Optimization 30. Firework algorithm, Ying Tan, 2010 31. Big-bang big-crunch Optimization algorithm, OK Erol, 2006 32. Artificial bee colony optimization (ABC), Karaboga,2005 33. Backtracking Search Optimization algorithm (BSA) 34. Differential Search Algorithm (DSA) (A modernized particle swarm optimization algorithm) 35. Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) 36. Multi-objective bat algorithm(MOBA) Binary Bat Algorithm (BBA) 37. Flower Pollination Algorithm 38. The Wind Driven Optimization (WDO) algorithm 39. Grey Wolf Optimizer (GWO) 40. Generative Algorithms 41. Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism 42.Lloyd's Algorithm 43.One Rank Cuckoo Search (ORCS) algorithm: An improved cuckoo search optimization algorithm 44. Huffman Algorithm 45. Active-Set Algorithm (ASA) 46. Random Search Algorithm 47. Alternating Conditional Expectation algorithm (ACE) 48. Normalized Normal Constraint (NNC) algorithm 49. Artificial immune system optimization; Cutello and Nicosia (2002) 50. fmincon .
Besides this there are many other optimization algorithm recently invented which are generally called Hybrid optimization Technique because it’s a combination of two method. If we share our experiences then it will be helpful for all of us who are in the field of optimization. I may be missing some methods, researcher are requested to add those algorithms and the way of use like many model needs initial value, weight, velocity, different type of writing objective function etc. I am facing some problems that’s why I make this format which will definitely help me as well as all other researchers in this field. Expecting resourceful and cordial cooperation.
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Dear Mashud,
I have some experiences in improving optimization algorithms like quantum invasive weed optimization algorithm ( ) and world cup optimization algorithm ( ).
From my experiences two point are important to select a good optimization algorithm:
1) check that do your problems can be solved by the classic methods? if so, do not go to the meta-heuristics.
2) If your problem was NP-hard and can not solve by the classic methods:
after a lot of testifying, I found that there is no more differences among the evolutionary algorithms. of course in some case, one algorithm may have better performance or has high speed, but this prominence is not so bold.
3) Two cases that you should point to them (in evolutionary algorithms) are: Exploration and Exploitation.
Exploration parameter is for places that you have no information about the search space anymore and Exploitation is about that you have an approximate solution for your problem and this parameter in this case finds better solution.
These two parameters comprise the structure of all of the optimization algorithms. for example, in Genetic algorithm, Mutation is an exploration parameter and crossover is an exploitation parameter.
So based on your requirements, select an algorithm that has promonancy about your considered parameter.
good luck,
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Is there any relation between block chain and inventory management?
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Dear Abu Hashan,
There are several examples here firms have used block chain in supply chain.
>>>>Diamond-giant De Beers uses blockchain technology to track stones from the point they are minded right up to the point when they are sold to consumers. This ensures the company avoids ‘conflict’ or ‘blood diamonds’ and assures the consumers that they are buying the genuine article.
>>>>>>There are several supply chain startups such as Cloud Logistics who saw an opportunity to provide blockchain-enabled supply chain solutions to improve efficiencies and reduce costs for the massive supply chain industry.
Hope that helps
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There is a need to automate several industrial tasks which may require a number of humans and robots to perform it. Some can be done only using robots. Say there is a task X. My output looks like: Task X can be done if around 4 robots are assigned to it or 1 human and 1 robot are assigned to it. My input will describe the task based on which an algorithm will compute the desired output.
So basically could you share some research work where resource requirement for industrial tasks are modeled mathematically or even empirically? Or could you point to some existing algorithms in the domain of industrial engineering or otherwise where researchers have tackled the problem of identifying how much resources need to be thrown on a task to finish it successfully?
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I follow answers
regards
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I have started programming binary bat algorithm to solve knapsack problem. i have misunderstanding of position concept in binary space :
Vnew= Vold+(Current-Best) * f;
S= 1/ ( 1+Math.exp(-Vnew));
X(t+1) = { 1  S>Rnd  , 0   Rnd>=S)
the velocity updating equation use both position from previous iteration (Current) and global best position (Best). In continuous version of BA, the position is real number but in the binary version, position of bat represented by binary number. In Knapsack Problem it means whether the item is selected or not. In the binary version, transfer function is used to transform velocity from real number to binary number. I'm confused whether the position in BBA is binary or real number ? if binary then the (Current-Best) can only be 1 - 0, 0 - 1, 1 - 1, etc. and if real number then how to get the continous representation if no continous equation to update the position (in original BA, the position updating equation is X(t+1) = X(t) + Vnew
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Unless you are doing just an "exercise", I discourage you from trying "new" metaheuristics for knapsack. Besides being a widely studied problem, there are very good knapsack specific algorithms. Check David Pissinger's webpage for codes and test instances generators.
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How we can enhance the power of large gas generator, what parameters have to change or improve. Can it take place without any improvement or changing in Turbine design?
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From a performance perspective even a small reduction of the clearance between the turbine blades and the casing will increase the engine's power. However, this option should be implemented in a careful manner for avoiding any risks.
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A su criterio, ?cuáles son las tendencias de la Ingeniería Industrial enmarcado en la cuarta revolución industrial?
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Las tendencias de la ingeniería industrial entorno a la cuarta revolución industrial deben estar enfocadas principalmente en el diseño y el manejo de las nuevas tecnologías informáticas, reboticas y energéticas. la nueva revolución industrial dejara obsoleta la manera de producción que conocemos reduciendo dramáticamente el numero de operarios en las lineas productivas, con un proceso tan automatizada se lograra una producción con margenes de error sumamente bajos y desempeño altamente eficiente.
aquellos que no se adapten a las nuevas tecnologías se verán obsoletos e innecesarios para el desarrollo de la cuarta revolución industrial.
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Sometimes its very necessary to find appropriate journals to submit articles but its also necessary to know the impact factor.
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@Abu Hashan Md Mashud
As a search engine, you can search https://www.scimagojr.com/ that contains the reputation journals but it has different calculations for the SJR factor rather the Thomson Reuters. If you need to check if it's a journal in the master journal list or not you can check the clarivity analysis master journal list (http://mjl.clarivate.com/ ).However, the Journal Citation Report (JCR) managed by Thompson Reuters, releases impact factor each year that can be purchased or some researchers may provide it for free (just needs some deep Googling).
Also, You can search the scopus website for the journal name https://www.scopus.com/home.uri
More over,, you can download the impact factors for journals in 2017 (Thomsen Reuters - uploaded by Murtaza Sayed ) here:
Some other links that may be useful (I'm not completely sure of them, but you can try)
Other documents uploaded by some reseachers:
Journal/Conference titles indexed in Scopus: List of Journal/Conference titles listed in Scopus, updated in 2018
InCite Journal Citation Report (Thomson Reuters Impact Factor) - 2018 (https://sites.google.com/a/koyauniversity.org/dqa/incite-jcr-thomson-reuter
Journal titles indexed by/member of the Directory of Open Access Journal (DOAJ), updated for 2018: https://docs.google.com/spreadsheets/d/1TF4FSlyyNIX6MdVUbD9zoLht2q3XhzerDe9Kf0k4DRs/edit#gid=719492038
Take care that ...many journals gave created their own impact factors which are fake.
Good luck
Samaa Shohieb
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Many journals uses impact factors whereas some are using cite score. Is there really a big differences between them or not? Some journals uses SJR,SNIP score, what is the meaning of these?
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The Impact Factor has come in for a lot of criticism over the years due to its inherent limitations, among them:
  • Since the Impact Factor is derived from journals indexed in the Web of Science, no other journals can have an Impact Factor.
  • Since the Impact Factor only looks at citations in the current year to articles in the previous two years, it only works well for disciplines in which rapid citation is the standard.
  • It doesn’t take into account disciplinary differences in expected numbers of citations.
  • There is no JCR for arts & humanities, therefore no Impact Factor for those journals.
Now, CiteScore has arrived to compete with the Impact Factor, luring users in with these benefits:
  • It is free to access on the Scopus Journal Metrics website (JCR is a paid subscription.)
  • It is calculated from the Scopus journal list, which is much larger than the Web of Science list and includes more social sciences and humanities journals.
  • It provides a 3-year citation window, rather than the 2-year window of the Impact Factor. [https://library.osu.edu/researchcommons/2017/06/12/citescore-vs-impact-factor]
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In optimization problem often we use local optimum but is it global? Or are there any meta-heuristics algorithm to obtain global solution? If there any then what is the name of that algorithm and if possible how we can get that solution?
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I wish not to let you down, but the basic answer is "very seldom", and another one is "you will not know if you have stumbled upon an optimal solution, because there is no natural termination criterion based on the concept of optimality". (In contrast, a branch-and-bound, or branch-and-cut, methodology is based on local AND global bounds on the optimal value generated throughout the procedure, and in most cases the correct procedures will either fix some variables to their optimal values before termination, and they will be able to discard a very large portion of the search space based on parts of the search space being infeasibie or inferior, in which case we do know for sure that an optimum has been reached.)
If you have a structure of the problem that makes it emanable to be solved by special methods, such as Benders decomposition - when you have a mix of integer variables and continuous variables. you also have a fail-proof method.
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There are lots of Optimization method /Evolutionary algorithms (EAs) in literature. Some of them is more effective (for solving linear/nonlinear problem) compared to other. But we don’t know which will fit our model. As a result we checked for everything as we can do. But cant get the desire result. Some of those methods are 1. Genetic algorithms (GA) ; Haupt and Haupt (2004) 2. Pattern search (Mathlab) 3. Particle swarm optimization (PSO), Binary Particle Swarm Optimization (BPSO); Eberhart and Kennedy (1995) 4. Bee optimization; Karaboga and Bosturk (2007) Pham et al (2006) 5. Cuckoo algorithm; Yang and Deb (2009, 2010) 6. Differential evolution (DE) ; Storn and Price (1995, 1997) 7. Firefly optimization; Yang (2010) 8. Bacterial foraging optimization; Kim, Abraham and Cho (2007) 9. Ant colony optimization (ACO) ; I Dorigo and Stutzle (2004) 10. Fish optimization; Huang and Zhou (2008) 11.Raindrop optimization ; Shah-Hosseini (2009) 12.Simulated annealing ; Kirkpatrick, Gelatt and Vecchi (1983) 13.Biogeography-based optimization (BBO), 14. Chemical reaction optimization (CRO) 15. A group search optimizer (GSO), 16. Imperialist algorithm 17. Swine flow Optimization Algorithm. 18. Teaching Learning Based Optimization (TLBO) 19. Bayesian Optimization Algorithms (BOA) 20. Population-based incremental learning (PBIL) 21. Evolution strategy with covariance matrix adaptation (CMA-ES) 22. Charged system search Optimization Algorithm 23. Continuous scatter search (CSS) Optimization Algorithm 24. Tabu search Continuous Optimization 25. Evolutionary programming 26. League championship algorithm 27. Harmony search Optimization algorithm 28. Gravitational search algorithm Optimization 29. Evolution strategies Optimization 30. Firework algorithm, Ying Tan, 2010 31. Big-bang big-crunch Optimization algorithm, OK Erol, 2006 32. Artificial bee colony optimization (ABC), Karaboga,2005 33. Backtracking Search Optimization algorithm (BSA) 34. Differential Search Algorithm (DSA) (A modernized particle swarm optimization algorithm) 35. Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) 36. Multi-objective bat algorithm(MOBA) Binary Bat Algorithm (BBA) 37. Flower Pollination Algorithm 38. The Wind Driven Optimization (WDO) algorithm 39. Grey Wolf Optimizer (GWO) 40. Generative Algorithms 41. Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism 42.Lloyd's Algorithm 43.One Rank Cuckoo Search (ORCS) algorithm: An improved cuckoo search optimization algorithm 44. Huffman Algorithm 45. Active-Set Algorithm (ASA) 46. Random Search Algorithm 47. Alternating Conditional Expectation algorithm (ACE) 48. Normalized Normal Constraint (NNC) algorithm 49. Artificial immune system optimization; Cutello and Nicosia (2002) 50. fmincon .
Besides this there are many other optimization algorithm recently invented which are generally called Hybrid optimization Technique because it’s a combination of two method. If we share our experiences then it will be helpful for all of us who are in the field of optimization. I may be missing some methods, researcher are requested to add those algorithms and the way of use like many model needs initial value, weight, velocity, different type of writing objective function etc. I am facing some problems that’s why I make this format which will definitely help me as well as all other researchers in this field. Expecting resourceful and cordial cooperation.
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Abu, you are not very clear. If you want to discuss effectiveness, then you need to define what that is, and run experiments on a huge set of carefully randomized test problems in order to make any claims about one method being better than another. I have mentioned on more than one occasion that if you have a deep knowledge of your problem and its properties, chances are very slim that a metaheuristic will be the winner against your own devise.
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Is it possible to manage with supply chain in a more effective way?
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Dear Abu Hashan Md Mashud ,
Kindly clarify your question.
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What are the differences among flexible manufacturing system (FMS), computer integrated manufacturing (CIM) and totally integrated automation (TIA)?
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The three phrases (names) reflect the shift of attention on various features (functional flexibility, information-based integration, supervised automation) of evolving complex production systems, which may largely differ in terms of their scale and practical implementation. On the other hand, largely different interpretations can be found in the literature and in the practice.
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Most of the major cities in the world are providing public transportation system for travel within the city.
What are possible application of Industrial Engineering tools and techniques for proper planning, cost effective and efficient running of public transportation systems in major cities?
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As a non-engineer, it is my assumption that a good approach is to diagnoze existing transportation systems, e.g. in relation to their industrial engineering tools. However, public economics has also to be considered.
I have attached a research paper and a quantified diagram for this purpose. Concerning project management, I would apply critical path methods as transportation is a mixed 'product' of local factors, e.g. Santiago de Chile is rated generally to have the best public transportation in the Latin Americas, and Seoul seems to be well ahead of Tokyo.
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With the growth of tourism worldwide, there will be increasing requirements of hotels, transport, development of infrastructure of tourist places and other facilities.
Therefore, it is necessary that tourism and hotel industry becomes increasingly cost effective.
What role Industrial Engineering tools and techniques can play in increasing cost effectiveness of tourism and hotel industry?
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Industrial engineers can help in terms of:
1. Designing Environment friendly hotel. That will accommodate more guest, energy efficient and affordable.
2. Arrangement and management of solid waste.
3. Designing Recreation facility such as chair left, ponds, lack and other
4. Information technology for better communication
5. Designing roads and walk-ways
6. Other area specific
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DWIM  consisting of two sets of three phase winding, when one winding is excited from a three phase supply, it works as a conventional induction motor to meet mechanical load, at the same time a three phase EMF is induced in second set of three phase winding which works as induction alternator. By adjusting load on both winding machine may be operated at its rated capacity,energy conservation and performance improvement can be obtained
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I am a student of Industrial Engineering. For the master's thesis topic I want to work in the field of big data and machine learning. can someone help me for the application of big data and machine learning in industrial engineering or introduce papers in this field?
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Dear Amir Mohammad Alaei,
I do not know what topic interests you in the field of industrial engineering, but I recommend the following review papers (DOI).
10.1115/1.2194554
10.1007/s10845-008-0145-x
10.1016/j.eswa.2012.02.063
10.1109/DMO.2009.5341895
10.1016/J.ENG.2017.05.015
Kind regards.
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spading machine works on articulated quadrilateral mechanism.
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I am looking for some research on how an Industrial engineer can use his/her knowledge while designing buildings such as healthcare facilities, hospitals etc. How can an Industrial Engineer work with an architect designing these buildings in the design phase itself. The goal is to apply Industrial Engineering theories such as Lean six sigma, facility locations etc .
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Dear Sah,
It is a very interesting question that you asked. In fact, to answer this question, one should understand the aim and scope of this engineering stream "Industrial Engineering". To me, there are several aspects where one industrial engineer can effectively apply his/her knowledge. From example, one can utilize cost-benefit analysis in design phase of building, or, one can also utilize optimization techniques in resource management during this phase. If anyone is intetested, he or she can also incorporate safety prevention strategy during design to minimize occurrence of accidents; for example fire safety. In addition, very important knowledge pertaining to facility location can efficiently applied in this case. However, an exhaustive list of scope is not possible here to present.
In brief, if you are an industrial engineer, you must know both the technical and management knowledge together to apply in real-life problems. And, this knowledge would ultimately help one to stand differently than others.
Thanks,
S. Sarkar
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I am modeling a cross-docking service center and am trying to generate the items on the truck to be unloaded, sorted, and then loaded again. I need to make the trucks themselves entities so they can seize a door.
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Hello,
You can not consider an entity and an element same as each other in Arena software,
Is it possible to split the mentioned element?
Best Regards,
Gharaei.
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Some thermodynamics confusion.
Assume ideal gases for simplicity.
Are kinetic energy (K) and internal energy (U) for gases, different from one another? As I understand,
dU = n Cv dt
And if some work is done by a gas adiabatically, then
heat change dQ = 0
Now we can have two cases:
1) Expansion occurs at the cost of internal energy of the gas and so gas temperature falls as the gas expands. So, U decreases.
Or,
2) As the temperature falls, the velocity of the gas molecules deceases too which then consecutively lowers the K of the gas.
So, are K and U the same physical quantity? Do they imply the same physical parameter of a system or something different? Or, may be both K and U undergo change in such a process?
Another issue is if work (classically) done = P V
then dW = P dV is seen more often. I am aware that W is not an exact differential, still shouldn't it be dW = P dV + V dP, as one can intuitively guess that during an adiabatic expansion of a gas, as volume increases, pressure will change (fall?) too? Why V dP is often left out?
Any comment will be appreciated.
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Dear Mr. Pandey,
let me try to help you out and clarify your doubts in a simple way.
A gas is constituted by many many molecules, each one having its own velocity. However, while studying a gas flowing in a given domain, we cannot follow each molecule so we introduce the concept of particle.
A particle is constituted by a bunch of many molecules (say millions) in the neighbourhood of a point, which however has dimensions much less than the domain to be studied. So the studied domain is composed of a very large number of particles. This is called the continuum assumption which is not valid, e.g. in rarefied flows.
More precisely, the particle must have a volume that is much larger than the cube of the gas mean free path and this volume must be much smaller than the volume of the studied domain. For air at STP, a cube having its side equal to a mean free path contains about 10,000 molecules.
The velocity of a particle of a single component gas is generally defined as the vectorial average of the several molecules contained in it. Of course, in a multi-component gas, a weighted vectorial average has to be performed. So, the velocity of a particle can be regarded as the velocity of the center of mass of the particle itself. Besides, the velocity of a particle depends on the adopted reference frame.
The kinetic energy of a gas particle is the one which is evaluated with the velocity of said particle.
But we have to remember that each molecule has its own velocity so, we may define the peculiar velocity of a molecule as its actual velocity minus the velocity of the particle it belongs to. The peculiar velocity of a molecule does not depend on the adopted reference frame because it is always measured with respect to the center of mass of the particle.
In this simple model, the internal energy of the particle is represented by the average kinetic energy of all the molecules contained in the particle evaluated with the peculiar velocities.
It is like if we split the total kinetic energy of the molecules in two parts, a macroscopic one (the particle kinetic energy) and a microscopic one (the particle internal energy).
Going to your example, in the gas expansion, the particle velocity increases ond so does the kinetic energy, while the internal energy (and so the gas temperature) decreases.
I hope to have been clear enough even not using equations.
Best regards and good luck for your work
Carlomagno
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We started an investigation about urban lighting and public lighting and would like to compare our results with another University. We would prefer a swedish university if it's possible. We would like to publish the results.
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Than you Monica, psycology is not in my research area. I'll follow your advice.
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Manufacturing & Industrial Engineering experts.
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Hi,
May be this Source can help you!
Kaplan R. S. et D. P. Norton (1996), The balanced Scorecard, Harvard business
School Press, p.21
Regards, 
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I know AHP can be used to calculate weights of qualitative variables like flexibility and safety.
I want to be able to also consider quantitative variables (like cost and material handling distance) and then make a choice of the most appropriate layout design for each construction phase; while considering both the qualitative and quantitative variables together.
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Dear Uchenna
You can use TOPSIS without weights.
So, why do you want to complicate your problem?
If you want to use AHP in quantitative variables you can use these values to comnpte their relationships as you do in AHP, but here working with reliables and not estimated values correspondingt to the DM preferences
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Problem Statement:
A television manufacturer has decided to produce and sell two different types of TV sets, small and big. They assure that the small will give a profit of $300 per unit and the big a profit of $500 per unit. They have one production plant with four departments: molding, soldering, assembly and inspection. Each TV set is processed in sequence through these four departments. Each department has a limited capacity given by a maximum number of working hours per year. We assume that they can sell all the TV sets they are able to produce and the market is not a restriction.
Objective function:
•Max Z= 300x1+500x2……….(1)
 Subject to the following constraints:
•x1+5x2<=4000………………(2) [Molding capacity]
•x1+x2<=1200………………..(3) [Soldering capacity]
•2x1+x2<=2000………………(4) [Assembly capacity]
•2x1+5x2<=5000……………..(5) [Inspection capacity]
x1,x2>=0……………………..(6) [Non-negativity Constraints
The dual is given by:
Min Z= 4000u1+1200u2+2000u3+5000u4
s.t. u1+u2+2u3+2u4>=300 [Small TV Sets]
5u1+u2+u3+5u4>=500 [Big TV Sets]
u1,u2,u3,u4>=0
My question is: What is the physical interpretation of the dual variables or u? Is it cost/hr or profit/hr for a specific operation? 
If I consider cost, then the objective function is OK. But in case of constraints, cost cannot be greater than profit. Again, if I consider profit, then the constraints are OK. But the objective function profit cannot be minimized. I have gone through many books, but still I am confused. If anybody kindly helps me, I shall be highly obliged.
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Dear Parag
1. The dual values or shadow prices produced by solving the dual equation set that you display, are values for the constraints and they have the same units as the objective function. However, you don’t need to solve the dual, since once you solve the primal problem you also get the dual values.
2. For a certain constraint, say ‘Inspection capacity’ its dual value indicates how much will the objective function increase when this capacity is incremented in one unit.
Let’s see:
The solution to your primal problem is x1 = 933 units an x2 = 133 units with a Z=  $346,667.
The respective shadow prices are only for constraints ‘Soldering capacity’ and ‘Assembly capacity’ which respective values are: u2= 233.33 and u3 = 33.33. The other restrictions don’t have shadow prices and thus don’t play any role for this objective. Therefore, these are the only two restrictions or criteria you are interested on.
Consequently, if you increment one unit the soldering capacity from 1200 to 1201, the functional Z will increase as Z + u2 = 346,667 + 233= $346,900 (rounding).
If you further increment in one unit the assembly capacity from 2000 to 2001, the functional Z will increase as Z + u3 = 346,900 + 33 = $346,933.
I did this by each constraint but you can increment both criteria simultaneously and get the same results.
Now, how much can you increment the soldering capacity? Indefinitely?
No, you can increment its capacity up to a certain limit, and the same for the assembly capacity. These limits are given automatically by the LP software.
Within these limits the increase of Z is constant and equal to the respective shadow price or to their sum, that is, it is a straight line with the same slope for different increments, and you can also have it graphically displayed.
If you increment either of both criteria past their respective limits, then, one of these criteria or may be both will be no longer significant and other will take their place.
The increase of the objective function will then change and it will be a curve instead of a straight line, because the slope changed since you have now a new shadow price corresponding to the new criterion.
3. Why can’t the objective function be minimized?
Of course it can!
If instead of profits you put costs as Z coefficients, they will be minimized.
The same concept as explained holds. The only difference is that a unit increment of the corresponding criterion will decrease the Z function value, which is what you want.  If instead of incrementing one unit you decrement one unit, the same holds, and Z will increase.
4. I don’t understand your last paragraph. If you consider costs, your objective function must be minimized and not maximized as you imply with your ‘OK’ .
In addition, in your example, constraints are not related with profits and costs; they are only related to the available existing capacities.
Suppose that you want to minimize your cost. You can do that, however, because in your example all criteria call for maximization the minimum cost of the solutions polygon will be 0, that is, no solution. You can see this graphically and very easily since you have only two products. You will see that the minimum point of the polygon that the Z can tangent is the origin of coordinates, or zero.
In you example  you can change it by changing one of the criterion to a minimum, say for instance  ‘Inspection capacity’ and you also have to reduce  the availability, for instance  to 3000 from 5000. In that case the optimal solution is to produce 600 units of  x2, and zero units of x1.
5. I don’t know which LP software you are using but I recommend SOLVER that is an Excel Add in. There you will see that you can choose maximise or minimize the objective function and even equalizing it.
I believe that you are confused regarding criteria and objectives.
You can have a criterion calling for maximization of your costs and another for maximization for your profits, but in this case the objective function must call for maximization or minimization for something different, for instance ‘Inspection capacity’.
If my explanation does not satisfy you for whatever reasons, just write me in RG or privately to nolmunier@yahoo.com. I will be very happy to help is I can.
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like various optimization techniques, Can system dynamics be used in facility location and waste allocation?
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Thank you, for your kind suggestions. 
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Looking for problems faced in industries in the field of manufacturing systems that I can attempt to address as part of my research.
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 You can work on modeling of job shop scheduling. NP hard problem.
Please refer: