Questions related to Supply Chain
I’m a PhD student who’s current research on the application of artificial neural network in the development of a supply chain distribution network.
The Global AI in the Supply chain market reached USD 5,610.8 Million in 2021a across the globe. Increasing attention to artificial intelligence, large statistics, and analytics, and a widening scope are all driving AI growth in the supply chain market globally. Every autonomous and semi-autonomous program implements computer vision. There are several players operating in the global AI in the supply chain market, including FedEx, McLane Company, DHL, Amazon, CSX, XPO Logistics, C.H, and others. The machine learning segment accounted for the largest share of the global AI in the supply chain market.
I tried to find these answers through my research article.
- Importance of AI and how will impact in Supply chain in the mid-and long-term?
- What are the ubiquitous movements in AI in the Supply chain?
- What are the key strategies adopted by leading companies in the AI in Supply chain logistics?
- How the implementation of AI can make the Supply chain more efficient?
I am a Phd student and I want to study how digital platform enable circular supply chain. Do you have some relevant concepts or topics that need to be integrated in this study ? any suggestion of relevant articles?
I am currently formulating an optimization model that integrates vehicle routing problem and vaccine supply chain. The model includes delivering vaccines to vaccination centers and on-spot locations representing individuals requesting to be vaccinated at home. The objective function includes maximizing the amount of doses delivered to both customers but, since the number of doses demanded by vaccination centers is significantly larger than on spots'. the model will just focus on delivering to vaccination centers and ignore the other since its effect on the objective function value is negligible. I tried to solve this by multiplying the on spot's term by a factor representing the ratio between both demands to make them equally important to the model. but I kept getting biased results. So, I formulated 2 different objective functions where each objective maximizes one customer doses why having a constraint that forces the vehicles to deliver a specified percentage of the demand of the other customer.
my question is: can I consider this model as bi-objective and treat the objectives as conflicting ?since maximizing one of these objectives will be on the account of the other taking into account that both objectives have the same unit.
We're currently working on our thesis about how blockchain can potentially help with transparency in a construction project's supply chain. We are required to use a statistical treatment for our thesis but we don't know what we can apply to our research. We have already developed a model, we just need to be able to evaluate its validity.
A population of agents start at different distributors, move to retailers and at the end each agent must return to the distributor he started from. So I simulate this situation with a statechart with state: AtDistributor, MovingToRetailer and MovingTo Distributor.
To save the distributor in Entry Action of State AtDistributor I write:
but there is an error: Description: The method take() is undefined for the type Distributor. Location: Supply Chain GIS/Vehicle/AtDistributor - State
how can I memorize the distributor and then use it in the transition to move the agent?
I have thought to cover the challenges faced by various functions in managing the supply chain - Procurement, Quality Assurance, Technical, Logistics , Planning and Regulatory
Do we know theoretical models how to share benefits between a focal company and for instance 3 tier 1 supplier's using a supply chain finance programme?
so what is ‘fair’
for instance there is a net saving of 1.5 euro using a SCF reverse factoring programme. Is the following split up fair or not, and why from a theoretical point of view:
€ 0.3 to the focal company and 3 times € 0.4 to the (3) tier 1 suppliers
Hello everyone, I am a supply chain managment masters student , currently doing my thesis. I am looking for suggestions /further readings for topics related to ''sustainable pharmaceutical supply chains'' it is a broad topic but I would like to narrow it down to something interesting and relevant.Thank you
I have 1 independent variable, being blockchain technology, and i have 5 dependent variables, supply chain efficiency, transparency, material traceability, security, and sustainability. On my survey I have 4 - 6 questions that relate to each of the 5 dependent variables and i am using SPSS to analyse my data. I am really struggling with what type of statistical analysis to use for my data, or if i can even use certain statistical methods that are inferential. As i have used a purposive sampling technique, all of my respondents work in organisations that utilise blockchain tehcnology within their supply chain. Im not looking for the relationship between the different dependent variables, i am just simply trying to understand if blockchain has improved any of these 5 dependent variables. How do i go about analysing my data if that is the case? I hope this makes sense and i hope someone can help me out.
I’m a doctoral student carrying out my research in supply chain management. My current research is on development of a supply chain distribution network for enhanced quality of service delivery of Petroleum products. Are there current trends in the field of supply chain distribution that could aid my research? And how best can one develop a standard distribution network to enhance QoS.
I was trying to use the λDE3 Lysogenization Kit (https://www.emdmillipore.com/US/en/product/DE3-Lysogenization-Kit-Novagen,EMD_BIO-69734#anchor_orderingcomp), but it is currently not available due to supply chain disruption.
Does anyone have information on how to get the different components in the kit separately? Of course, if one knows how to do this without using this kit, that would be even better. Thanks.
What are some of the books that can be used at Business School (introductory level) that clearly delineate Operations Management and Supply chain Management courses? My interest is in how we can provide more value to our students rather than teaching similar topics in both courses.
I am doing my master's in the field of logistics and supply chain management. I have started to look for a new topic for my thesis. My initial topic was about the digital transformation in the food supply chain. However, I decided to change it because I just started to work in a manufacturing company, therefore, I am looking for suggestions that will guide me -since it is going to be my first thesis-, I might have missed or/ and resources that might help me to develop my idea. My thought is around " Industry 4.0 adoption in the sustainable supply chain: focusing on the manufacturing supply chain" for the new thesis topics. Thanks in advance.
What is your view in relation to Lean Manufacturing impacting the recovery from COVID19? Can we blame lean for stock less production, which lead to shortages in supply chain? Or is lean going to be a critical factor in the recovery process?
Hi everyone! I would like to write my bachelor's thesis on a topic that's currently relevant in the sphere of analytics, supply chains or technology (or if it's possible a topic concerning all the three fields of interest). I am a business student, and my program covers anything related to the above mentioned fields.
Here are some examples of themes that I am interested in:
- Sports(tennis, soccer, basketball and football)
- Health and wellness
- Real estate
- Food ingredients
- Job market
Ideally, I would love to find a topic that relates to one of these themes. However, I am open to other suggestions as well. As long as it is interesting.
Obviously any kind of suggestions, regarding new topics (broad or specific) or the development of cited ones would be greatly appreciated.
Thank you in advance!
Searching for references that uses socioecological system for disaster impact assessment, supply chain networks and resilience assessment.
In the wake of disruption in supply chains fueled by circumstances outside and beyond our control, the discourse then is not necessarily centered on how to build lean supply chains. Extant literature suggests that organizations that practice lean philosophy are more vulnerable to risks and disruptions and thus may take a long time to recover, and bounce back to a state of normalcy. In light of the above assertion, practitioners, academics and experts in recent times are changing the direction of supply chain discourse laying emphasis on building a more resilient organization. Thus, creating organizations that can withstand shocks both from within and outside their control is the expected 'norm'. Building resilient organization necessitates management to undertake activities such as having redundant supplies, facilities, inventories, having slack resources, among others. These practices are in contravention with lean philosophy. Although lean is a great tool that aids in eliminating waste, under the prevailing situations in today's supply chain, is it logical and or, empirically relevant to suggest that lean's potency rather seems insignificant?
I am conducting research around supply chain delays and consumer behaviour I was wondering if anyone could give any academic theory that should be included in a literature review or any related theory or previous research that under pin these area ideas.
any ideas or tips on completing a literature review and this type of dissertation research would be beneficial and much appreciated thank you
This research aimed to systematically review the development studies pertaining to forest biomass and bioenergy supply chain resilience.
According to the assessment, the findings of this research on the definition, barriers and enablers of forest biomass and bioenergy supply chain resilience can be applied as a basis for the comprehension and optimization of the structure of supply chains in the forest biomass and bioenergy industries.
Please click/use the link below to freely access the article file:
I'm thinking to develop my research proposal on the impact of supply chain ambidexterity on supply chain agility. I have read a few articles on supply chain ambidexterity and found them fascinating. However, the concept of ambidexterity seems to be unknown to most academia.
This makes me think supply chain ambidexterity is not a popular and novel research area?
Any thoughts / suggestions / ideas welcome...
Since many suppliers were disrupted due to the COVID-19, disruption risk arouses reserachers' attention. The literature I have ever read can be divided into two parts. The first one is the probability that a disruption risk event happens, and the second one is the severity of disruption on a supply chain. They may use Bayesian network to locate the most risky node or risk triggers, or use Perti-net to identify the risk propagation path through calculating changes in parameters like on-delivery rate and pocuremnet cost. I would like to know if there are any different methods applied in supply chain disruption analysis, or are there any new/hot research branches of a supply chain from the disruption risk perspective. Thank you all for your apply!
Except for some early protectionist behaviour by some countries and the consumer panic buying in the early days of the pandemic, global food supply chains have demonstrated remarkable resilience during this whole time. Currently, there are no global food shortages. In fact, the prices did fall slightly at one point. During the 2007-08 economic crisis, however, food prices were severely disrupted. Please share your thoughts on how this occurred and whether global food supply chains have become more sophisticated. Also, what are the implications for "local foods" in the pandemic?
I am conducting research on Dynamic Supply Chain Capabilities and Supply Chain Performance: An Evidence from Pakistan. I request you to participate in this study by answering the attached questionnaire that will hardly take 10 minutes of your precious time.
During the last half year in the U.S. the consumer price index has risen between 5 and 6%, the highest percentage increase seen since 1990-91. Given the enormous amount of economic and social change and uncertainty unleashed by the covid pandemic, are people's inflationary expectations also rising in this new and very different environment of the 2020s? Are supply chain disruptions, a switch back toward relatively more goods consumption, rather than services, all likely to persist into the future as the U.S. economy, along with those of the rest of the world, struggles to stay ahead of the covid pandemic with all its new incarnations ( delta, omicron, etc)?
I would like to know what validation techniques do people in the real world supply chain industry use. Something that is not very sensitive to time series data. Currently I am testing MAPE and paired t-test. But these tests are very sensitive and shows really high error. Any test that is not sensitive?
#simulation #discrete-event modeling #DES #agent based modeling #simulation modeling
The Supply chain council's SCOR model is a very famous and widely used model in many scientific publications for assessing supply chain performance. The model is as simple as it is effective and consists of five main processes: source, plan, make, deliver and return.
This model is certainly very intuitive and effective when analysing a manufacturing industry supply chain, but it starts to falter when considering other sectors.
In particular, if you want to use this model to analyse a retailer's supply chain, how can you translate the "make" process? Although the SCOR model is also used in many articles to study retailer supply chains, I have not been able to find any references that help me understand how to translate the "make" process in contexts other than manufacturing. Has anyone had similar experiences in the past?
I have 9 questions based out of 5-point Likert Scale coming under one construct in order to measure customer's perception towards supply chain.
I have 151 data points given by both male and female. I want to break the data into male - responses and female responses.
Female response - 39
Male Response - 112
I want to know what should I measure ( the parameter ) in order claim that both the genders have differences in responding to these questions in terms of their perception?
As of now, I just did a relative importance index analysis for the entire data (151) to sort the question based on their level of importance.
Background of the problem for people non familiar with transfusion:
Every day, hospital transfusion services must guarantee they have enough blood to meet patient transfusion demand. This is very like managing a food stock in a refrigerator but even easier (just one product, one expiration date).
- RBC (red blood cell) units are kept on a refrigerator with enough capacity
- Maximum expiration date for RBC is 42 days.
- We make a routine order to the blood bank provider (our grocery store) every day from Monday to Friday. We can make additional orders if we run out of stock.
- We practice first in first out.
The model should satisfy the following targets:
- Minimize the expiration rate (the number of RBC units expiring every certain time)
- The less time on the refrigerator the better (eat fresh)
- Avoid extraordinary orders as much as possible (some extraordinary order might be considered to cope with transfusion peaks of demand)
- Note: I have purposely simplified the problem (no considerations of ABO group distribution, crossmatched reserved units, or reduced expiration date of the irradiated blood…).
Non controlled external factors:
- Transfusion rate
- Average remaining time to expiration of the received blood.
What we are looking for is the optimal number of RBC units we must order on a routine basis (M-F) which is the only factor we can adjust to optimize the equation. Resulting figure must be recalculated when transfusion rate or average expiration date of the received units change.
Intuitively, I see how the number of extraordinary orders and RBC freshness are at opposite sides of a balance, because if a higher number of extraordinary orders is tolerated, then it should result in a smaller but fresher RBC inventory. On the other hand, in order to avoid extraordinary orders, you need a greater inventory thus increasing the average age of your products and the risk of expiration.
Any idea or suggestion? Any available script on Excel/SPSS/Stata/R/SQL? Any related bibliography?
I can provide raw data for simulations on demand if someone want to make a collaboration.
There are notable supply chains related to traditional and regional products that are still untouched by contemporary progress in supply chain management. The basic problem in SCM for these products lie in the lack of a descriptive reference model to even initiate SC research. Although SC mapping is still in an early stage in terms of design, it has been applied to bring out visualization of processes as well as complete industry SCs. Hence a question has been raised seeking the compatibility of SC mapping approaches for solving SC visualization problem. Do other methods available produce better results in visualization when compared with SC mapping approaches?
Current consumption and production patterns are increasingly founded in global value chains (GVC). Typically, GVCs are structured in several tiers distributed across countries and including a wide set of activities (design, production, distribution, etc). Given the current situation of industrial development and energy transition, comprehensive assessments are required to understand how supply chains work and where they are located. In this sense, which are the most appropriate indicators for mapping supply chains? According to the high availability of trade data (e.g., from Comtrade database), could the trade performance indicators (e.g., relative trade balance or Balassa index) be suitable for identification of net exporters or importers of commodities within the supply chain under evaluation?
I would appreciate if anyone could shed light on these questions.
More specifically, I would like to find papers with a robust research methodology and providing the research questionnaire.
This survey is a part of a research project. It aims to investigate the impact of supply chain digitalization on organizational resilience. This survey is designed to collect and analyze the data for the purpose of scientific research only, therefore, the data is treated anonymously. This research project is a joint collaboration between researchers from Sanford University, An-Najah National University, University of Jordan, and the University of Petra.
We are conducting a research project on "𝐵𝑙𝑜𝑐𝑘𝑐ℎ𝑎𝑖𝑛 𝑉𝑎𝑙𝑢𝑒 𝑀𝑜𝑑𝑒𝑙 (𝐵𝑉𝑀) 𝑓𝑜𝑟 𝐶𝑜𝑛𝑠𝑡𝑟𝑢𝑐𝑡𝑖𝑜𝑛 𝑆𝑢𝑝𝑝𝑙𝑦 𝐶ℎ𝑎𝑖𝑛" and currently seeking to leverage your knowledge and experience 𝑖𝑛 𝑒𝑖𝑡ℎ𝑒𝑟 the construction supply chain 𝑜𝑟 blockchain to complete the questionnaire survey of the captioned study.
We would appreciate your involvement in this survey round by clicking this 𝐨𝐧𝐥𝐢𝐧𝐞 𝐬𝐮𝐫𝐯𝐞𝐲 𝐥𝐢𝐧𝐤 - https://forms.office.com/r/VWtNKmXLFa (10-15 minutes to complete).
Thank you so much!
Resilience is a multidisciplinary dimension which has literature from fields such as physiology, supply chain, crisis management to name a few. However in capturing resilience in the workplace I am interested in identifying a fundamental theory to be utilised in exploring its different avenues and contexts.
I'm using ubiquitin-AMC as the substrate for deubiquitination assays with several different deubiquitinases. Normally I'd do the assay in 50 mM HEPES (pH 7.5) and 150 mM NaCl, which I know works well. However I'm about to use two new deubiquitinases with estimated pI of 7.2 and 7.8 respectively, potentially crashing out at pH 7.5. I need to change the assay pH but every paper I find uses Ub-AMC at pH 7.5. Does anyone have any experience with it at alternative pH? I'm worried it won't be as active or the assay will be distorted
(NB: I know I could buffer samples at a range of pHs and check if they're in solution and if fluorescence is impacted, but reagents are running low and I don't trust supply chains right now)
I am currently busy with my PhD on omnichannel supply chain integration. I am struggling with the correct “terminology” in terms of omnichannel. It seems that most authors simply use “channel” or “online/offline channel”. However, since I am investigating omnichannel from a supply chain perspective, my supervisors feel that “channel” is too broad. For example, depending on the part of the omnichannel process I am discussing – the website could serve as both a communication OR distribution channel. My supervisors feel that it would dilute the managerial recommendations at the end of the study since channel is ambiguous. The suggestion at this stage is to use the word “omnichannels” instead of channels (as it is more inclusive than merely using channel).
“Shopping by means of a variety of omnichannels is no longer novel but has become universal for both consumers and retailers (Cummins, Peltier & Dixon, 2016: 12). Customers expect consistent, uniform, integrated services and experiences, regardless of the omnichannel they use. Customers are willing to move seamlessly between their preferred omnichannel depending on their current situation, the time of day, or the product category.”
My question(s) for other authors writing within the field of omnichannel retailing:
1) Do you think the ambiguous use of “channel” dilutes the understanding of omnichannel retailing?
2) How do you explicitly differentiate between the different uses of “channel” (as touchpoints and fulfilment channels) to clear up the ambiguity WITHOUT creating reader fatigue?
Attach is a table with a summary of the terms used across omnichannel. I attempted to answer my own question with this table – but ended up creating more questions than answers.
I thank you in advance for your time and input in this regard.
I have recently completed my Masters in supply chain management from Ireland.
My masters was of 1 year and 90 credits for which I have got a socre of 2:1 which is approximately between 70% to 60%.
Now I am planning to go for PhD in main land Europe, especially in Netherlands, Norway, Belgium, lexemborg, swiss and Spain, apart from this I am also looking in UK, Ireland, Finland and Sweden and USA as well.
Now my question is
1)Does the 1 Masters holds some weightage?
2) if so then do all university in Europe have any problem with 1 year taught masters?
3) Can I go for PhD without masters on the basis of bachelor's in Europe or in USA?
4) how hard is to get a admission or get scholarship for PhD?
5) what are the basic requirements for PhD?
6) can anyone please suggest some websites and links where I can look for scholarship for PhD?
7) what is the scope for doing a PhD in supply chain?
8) which area shall I go for PhD, and. I have some interest in sustainable supply chain and food supply chain also I have some interest in shipping industry?
Please give your opinion and try to answer my questions.
My current qualitative research (for my master thesis) looks at how a company can respond better to scarcity in its supply chain. My theoretical framework consists of the whole supply chain risk management process and defines characteristics that I'm comparing to determine if missing one of the characteristics could explain the success or lack of success. But before I could answer the 'why' it was a success or not, I need to analyze 'if' it was a success.
The company has a lot of data available. I defined a few variables that determine 'success' (e.g., percentage the company can fill regarding customer demand). Is there a methodology that describes how to look at the available data? The closest methodology I could get was descriptive statistics, but I'm not sure if it covers everything I want to do. Can somebody help me with this?
In my study,I have 1 independent variable (Big data analytics capabilities )and 1 dependent variable (sustainable supply chain performance) and 3 moderators Total 49 questions were included in the survey and I got a sample size of 73 respondents. my target respondents (CIOs) and IT managers Now after CFA many of the factor loadings are exactly 0.5 then .5 but the standard is .6 so is it possible that I consider factor loading with .5. Please argue with references. Thanks
I am currently writing about the role of national culture (differences in values (especially risk aversion) and attitudes in general) for international supply chains. Does anyone know of an example of a global company that experienced supply chain problems due to the national culture of the host country?
Thank you very much!
I intend to conduct research on Big Data Analytics on supply chain sustainability. But I have been struggling to find real-life data set since most of the companies that have adopted Big Data Analytics in their supply chain management are not willing to provide this amount of information. Is there any public real-life database where I can find the public data?
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).
I Hope All is Well with You.
Finally, our article, the most comprehensive review-research article in the field of forest biomass and bioenergy supply chain resilience, is published in the journal of sustainability.
You will find everything you need to learn and know in the field of forest biomass and bioenergy supply chain resilience in this article including research gaps, suggestions, future directions, set of resilience barriers, set of resilience enablers, set of resilience main factors, the relations among them etc.
It is OPEN ACCESS!
Use the Following Link to Access the Article:
You Can Take Advantage of it Freely.
Please Share it with Others.
Each value in the DEMATEL matrices signifies the influence of a factor on other factors (row) and the impact of other factors on a factor (column). The diagonal terms relate the factor to itself. When we use fuzzy or grey sets with DEMATEL, the values on these diagonals varry. What does these value signify? Should we necessarily consider these values while calculating degree of impact and influence?
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.
Part of my Ph.D. thesis needs to be completed questionnaire, which, unfortunately, due to Covid 19, we cannot attend the company under review. For this reason, I request supply chain experts who wish to complete the questionnaire to notify me, that I will email the questionnaire to them. It would be your generosity to respond to the questionnaires and also distribute them among your colleagues, students, and networks.
Thank you in advance for your help and cooperation.
I am working on a research paper on the subject and would like to share inputs. Thanks.
My colleagues in research,
I am a Masters student in International Logistics and Supply Chain Management who has just completed the third semester and is searching for a dissertation question to complete my thesis.
The current pandemic crisis has shown how vulnerable our supply chains are; this challenge prompted me to consider various methods for making supply chains more durable. One of the ideas that came to me was that supply chains could function like a human body - Thinking, Anticipating, Reacting, and Responding to problems/issues.
I dug some details and discovered that very little research is being conducted in this field. I am not sure whether to move forward on my research in sentient supply chains or just stick to Supply chain Automation (Artificial Intelligence and Machine Learning). Yes, 10PL might be too far as of now, but I believe its not unattainable.
Looking forward to your valuble ideas, suggestions and feedback. If anyone is interested for further discussion please mail me at email@example.com
Thank you for your time.
Environmental Management extents to sustainability issues in value and supply chains. and so, environmental impacts arising from organisations and their concomitant impacts remains a worry since organisations produce more impacts than individual emissions. To help in discussing sustainability initiatives, integration and their impacts, it is pertinent to understand the extent of incorporation in different countries including the system that have been adopted. To help in this discussion, the guide are as follows:
1. how knowledgeable are you on sustainability incorporation in value chains?
2. how far have your country's organisation fared with such implementation?
3. what are the reasons/ benefits for sustainability in supply chains?
4. Are there challenges in embedding sustainability in supply chains?
Researchers of great repute I call upon you all to address the issues as much as you can. Thanks a lot.
I am researching about Product-as-a-service (PaaS) circular business models in the B2B as well as B2C context. Currently, I am still looking for companies that have successfully established the PaaS model in their business. So far, I only came across the well-known industry examples (e.g. Rolls-Royce, Philips, Michelin, Xerox, Ricoh, etc.) which are all from the B2B sector.
Do you know any companies in the B2C sector that have transformed from a linear product-selling business model to a PaaS model or companies (e.g. Start-Ups) that started their business based on the PaaS model? So far I only know some companies in the fashion industry (e.g. MUD Jeans or luxury renting services). In case you know more examples from other industries, please let me know.
In case you have other examples from the B2B sector in mind not mentioned above and which are interesting to investigate, please also reply to this post.
Thank you for your support!
I think the real cause limiting throughput of a supply chain (factory) is non-coherent job execution not bottlenecks. Impact of non-coherent job execution on throughput is orders of magnitude greater than bottlenecks.
Dear All Researchers,
As I am a newbie in Purchasing and Supply Management ,
I am working on Supplier selection and Order Splitting paper implementation.
Agenda is to minimize the total average inventory cost.
Based on this, I want to formulate a equation in order to minimize the total average inventory cost.
I'm confused in the following details..
1. I have three constraints ( demand ,capacity and quality).
2. I have these data, needed guidance how to form a equation based on these conditions, I wanted to solve this problem in (MS EXCEL, by using solver)by using INTEGER LINEAR PROGRAMME ( BRANCH AND BOUND METHOD TECHNIQUE), MINIMIZATION.
I have attached the picture of main objective equation, solutions would be really helpful and appreciated .
Thanks and Regards
as to my supply chain thesis I am interested in supply chain performance, KPI tree and business intelligence
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.
I'm applying an MILP model for cost optimization of a close loop supply chain design problem. Can anyone suggest me a code example in MATLAB ?
We have seen a stability in the supply chains of goods, food in particular, during the current pandemic of Covid19 continue, mostly undisturbed.
It is very reassuring at a time of uncertainty and macro-risks falling onto societies.
How much do we owe to the optimised management and supervision of Container transport, and multimodal support to it with deep sea vessels, harbour feeder vessels, trains and trucks/lorries?
What is the granularity involved? Hub to hub, regional distribution, local delivery?
Do we think that the connectivity models with matrices, modelling the transport connections, the flows per category (passengers, freight, within freight: categories of goods), could benefit from a synthetic model agreggation of a single matrix of set federating what has been so far spread over several separate matrices of numbers?
What do you think?
Below references on container transport, and on matrices of sets
A) Matrices of set
[i] a simple rationale
[ii] use for containers
 Generating scenarios for simulation and optimization of container terminal logistics by Sönke Hartmann, 2002
 Optimising Container Placement in a Sea Harbour, PhD thesis by by Yachba Khedidja
 Impact of integrating the intelligent product concept into the container supply chain platform, PhD thesis by Mohamed Yassine Samiri
I am planning to apply for the PhD degree in the Supply Chain Mgt. with specific area of "Cold Storage warehouses" during Pandemics and wars. Where lock downs and shut downs are frequent.
Please advise on what subject and area should I be focusing on and suggest any "Title" for my research.
Dear fellow researchers,
I am currently looking for a research topic for my master thesis in the area of Supply Chain Management. I am interested in sustainability topics, in particular in Circular Supply Chain topics.
As I just started my reseach on Circular Supply Chains I would be grateful if you can recommend me any papers, articles, etc. as a starting point to find a suitable Master thesis topic with regard to Circular Supply Chains.
In case you can already recommend me current research topics regarding Circular Supply Chains I could write my thesis about I would be grateful if you can share them with me.
Thanks in advance!
There are several barriers that hinders the transition to a circular economy. Among the barriers include supply chains which needs to be redesigned in order to align or facilitate smooth transition. The question is geared towards understanding the current research directions as far as supply chains are concerned