Questions related to Production Engineering
Gentlemen, I am conducting a research in my city on the application of the swot matrix in the largest retail chains, and through this application analyzing the impact of the pandemic on these retailers, could give me some idea of how to cross the matrix, with the purpose of defining strategies more accurate for these businesses.
What modern, computerized information technologies in the field of Industry 4.0 are used to implement improvements in production logistics or other logistics areas, such as distribution logistics, supply logistics, transport logistics, etc.?
What types of restructuring processes are used to implement improvements in production logistics or other logistics areas, such as distribution logistics, supply logistics, transport logistics, etc.?
I am currently pursuing an MSc in Petroleum Production Engineering. I am required to come up with a Project title and subsequently submit a proposal. As such I would like to make use of this forum by inquiring from experts on a suitable project title based on challenges in the Industry in the area of Production Engineering.
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.
Productivity is a key aspect of economic growth. However, it is also important to choose what should be produced with the growing importance of taking into account the issue of ecology, care for the protection of the natural environment.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What is the significance of the development of production and the productivity in modern economies?
I invite you to the discussion
Thank you very much
I want to find the rotation per unit length of a thin tube using their stress-strain characteristics in incremental theory.
I am a Petroleum Production Engg MSc student at Robert Gordon University in Aberdeen and I am in the process of selecting a topic for my MSc Engineering Investigation proposal.
I would very much appreciate suggestions of good topics and areas of research relevant to my field.
I wish to create spring elements on each and every mesh node. In this case my element size are 0.08415m and therefore I wish to create every single individual spring along 16.83m pipe length with the distance between springs of 0.08415m. The figure I attached are springs I created by manually input each location of every single spring. I wonder what are the faster ways to create the spring automatically along the 16.83m without having to do it manually? I wish to have it done automatically as I will be reusing the model with different pipe diameter and pipe length and having to remodel every single spring is going kill off a lot of time. I have tried object generator but failed to generate those springs. Appreciate any help!
Do the shortening of life cycles of technical products, electronics, household appliances, IT equipment, etc. used by producers is a solution to the potential problem of overproduction?
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.
I have completed may Bachelors in Industrial & Production Engineering, majoring in Manufacturing Engineering and I am looking for PhD position at USA specially in area of Metal Additive Manufacturing and FDM of cellular structures. Please suggest me good Labs and professors in USA who are working this area.
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.
Production Engineering is an Engineering area that deals with the problems of productive operations, with emphasis on the production of goods and services. Operational Research (OR) is defined as the area responsible for solving real problems, using decision-making situations, using mathematical models. The OR is an applied science focused on solving real problems that seeks to apply knowledge from other disciplines such as mathematics, statistics, computation to improve rationality in decision making processes.
Operational Research (OR), responsible for solving real problems, through mathematical and statistical models. How have we used OR in our Searches?
Can advanced data processing in the cloud, Big Data database systems and Business Intelligence analytical platforms be helpful in the processes of restructuring and improving logistics of the functioning of production processes?
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.
Sometimes its very necessary to find appropriate journals to submit articles but its also necessary to know the impact factor.
I am trying to reduce edge build up/down and center buildup defects during continuous hot-dip galvanising process. During analysis it showed us it is mostly during air knife adjustments. We're using 1982 air knife design. If anyone can assist I would be grateful. I have done all the settings and procedure to be done.
The carotid shunt is made up of a tube on the extremities of which the balloons are glued during the manufacturing process. Quality control (functionality test) are carried out in order to ensure that the product is conform. It has to be ensured that the balloons suffer no leaks.
What are the possible quality control test (non-destructive) that can be put in place after the assembly process to ensure conformity of the product ?
Two nozzles of different output diameters (0.20 mm and 0.25 mm) are being used to take mass measurements for an analysis over a time period for the same input pressure.
It has been observed that the standard deviation in the measurements increases in with an increase in diameter of the nozzle.
Is this true? Does an increase in diameter causes greater fluctuations in the flow for the same input pressure?
Is the ability of masonry cement to last longer in the workability phase, mainly due to the addition of gypsum during production, in quantities lower than that added to the cement used for reinforced concrete?
Ideally I'd like to hear this from people working on shop floors in production engineering.
How to classify manual tasks based on fatigue rate by using sEMG in Manufacturing Workplaces?
There are various tasks in manufacturing workplaces (Static tasks, Dynamic tasks, repetitive tasks and occasional tasks).
Can someone suggest papers related to classification of tasks based on fatigue rate using sEMG (Surface Electromyography) in manufacturing workplaces.
Am currently looking for new research areas in the Engineering management field, at the moment am considering lean and green engineering, but would appreciate any additions or new area of opening.
Wondering about Enterprise Performance Perspectives (such as postulated by BSC), each Perspective reveals an expectation expressed by stakeholders and managers, and it also may regard such as an "aggregation" of Performance Indicators(PI).
1. Please, what is your point of view about different expectations about PI values, in several Perspectives, keeping in mind the same organization and collect moment?
2. This situation would not be a conflicting aspect, revealing a conflict in Perspectives's Definition previously ?
For instance, in this hypothetical scenario:
- Perspective-A, with PI-1 expected LOW;
- Perspective-B, with PI-1 too, but expected HIGH;
- Perspective-C, with PI-1 too, but expected not present.
Several ac manufacturing company use steam activation to produce ac from coconut shells. I am writing up my doctoral thesis and I have utilized AC from coconut shells activated with steam. I think that I should explain the reason why this activation is used. Do you have any suggestion for me? or explanation?
In India many companies follow Target costing. Some have exclusive departments to adopt Target costing in the new products as well as existing products. Me as research scholar would like to have some feedback from the fellow researchers on the number of major companies in different disciplines like, Machinery builders, Pharmaceuticals, Cement Industries, Food Industries, Textiles, Electronic Industries...etc.
I am doing my research work in TWECDM.
1) can anybody please tell me what is the new scope in TWECDM. And what are the new materials possible for machining. I have collect all the data which are required to set up machine. But Unfortunately I could not find the materials which is suitable for the machining. So, Kindly suggest me new materials for TWCDEM.
2) is it possible to do machining sodalime glass with TWECDM?
3) I have one doubt that what are the new MMC materials are suitable for TWCDM.
Lawyers, scientists, physicians, accountants and engineer are trained to think logically and observe ethics of their profession, but they use different method of problem solving. Their training and experience influence the way they think. Even for science based professions, scientists, engineers and physician solve their problem differently. Business leaders are advised to think like engineers, implying there is a value in it. How engineers acquire the mid-set they have? How can it be nurtured and transported to other professions. It is said that engineers are success oriented, but “success” means different thing to different people. Success for some is an idea becoming reality, for some an idea becoming a profitable business, and for some an idea to provide a pathway right to the bank.
There are also publication by the royal academy of engineers describing the traits of an engineer. Few books on “think like an engineer’” were published recently. They use anecdotes to teach businessmen to think like engineers, but author themselves don’t think like engineers, since they use inductive logic rather than deductive logic. These authors begin with anecdotes, and then determine what general conclusions can logically be derived from those anecdotes. In other words, they decide what theory or theories could explain the anecdotes, then concluded that all should think like an engineers. This is a reasonable hypothesis given the data. However, induction does not prove that the theory is correct. There are often alternative theories that are also supported by the data. Such books may have an entertaining value, but no one becomes a thinker by reading them.
I am researching “how an engineer thinks?” I appreciate if you would share your thoughts with me.
I am doing research and need to predict flank wear in end milling. I need help to measure flank wear by using image process (ccd camera) and a microscope.
Can I use your method, and what is the minimum number of tools I need? Are there any other ways you suggest?
i am going to desig a rectangular type mug there will be three layers of inner will be of saag(teak) wood then middle will be of glass wool and outer will be of pvc. now i knew their thermal conductivities and the temareture difference would be 30-35 degree celsius.now i want to kwow how can i fix their thickness?
Well testing reports for the appraisal wells and initial gas in place are the available information.What is the best approach to determine well gas flow rate and the number of wells required?
Information sharing and exchange between OEMs and suppliers is a new approach to enable responsiveness.
As a beginner, I have some queries regarding Dodge-Romig AOQL Table as follows:
1. If the rejected lots are 100% inspected (normally), then what is the objective of selecting a sample size using Dodge-Romig AOQL table (because we already know about the lot)? I find that if I inspect each and every item of a (rejected) lot, then selecting a sample size using AOQL table makes no sense.
Conceptually can two existing semibatch distillation assets substitute for a 3 outlet continuous divided wall column, accepting lower thermal efficiency. Think semi commercial scale.
Specifically, are there heuristics to follow for this comparison, given all column dimensions, and stages, so that the alternative flowsheet, has a greater success at being capable?
I am conducting a research project about sand production control in oil wells. And I am in need of good references to rely on while conducting my research. Any help would be appreciated.
My goal is to propose a methodology to assess the economic and environmental impact of a new equipment/technology/production system in manufacturing or remanufacturing processes by using simulation and proper KPIs
- what are the potentials and the shortcomings in using simulation (discrete event simulation particularly) for this kind of research goal
- what are the alternative research methodologies (beyond that one above) to address this research goal.
I warmly embrace answers ranging from the sharing of experiences in this field to references, when clearly connected to the topic.
In EDM process, tool wear is almost inevitable and wear characteristics do depend on tool electrode material properties, flushing conditions etc.
But will tool wear be affected by the work piece properties? For example a material like titanium which have poor thermal conductivity is difficult to machine and the machining time will be very high in comparison with the same for a material like stainless steel.
My doubt is, apart from this longer machining time (which will result into prolonged exposure of the tool electrode to discharge conditions and may result in relatively higher wear) does any property of the work piece material (say thermal conductivity) will have a direct influence on tool wear?
Can be determined from the various models, a transition region? Is it possible that in one area, both processes can take place?
This would help me include the papers or journals as references and also study their work to find out their limitations and carry out further studies on their work.
Operational risk is a concept from the area of financial risk. The definition is contained in the Basel II regulations. On the other hand, there is the theory of machines safety, occupational safety, environmental risk through production. It seems that the same issues come up quite differently from economists and production engineers. Maybe there are some models that integrate these issues?
The problem lies in the risk (human, economic and environmental) assessment of the designed method of production, in compliance with the terms occurring in the theory of operational risk (Basel regulations).
Many researchers argue that EDI (i.e. Electronic Data Interchange) technology does not provide flexibility, arguing that EDI is out of date technology. To what extent is this claim valid? To which industry sector to this valid? What is the alternative?
I want to explore how to make strategic management to manage solid wastes in an industrial area in a developing country. What is the proper method for this? SWOT analysis and/or any other recent methods?
I'm working with multi-criteria analysis applied to manufacture processes. However, I'd like to include in my study only the most relevant manufacturing metrics available. For example, some common metrics are:
- Manufacture defects
- Degree of availability
- Production capacity
- Cycle time
I believe that they can be summarized into 3 main metrics:
- Cycle time
- Process efficiency
What do you think about it? Any feedack is welcome! Thank you