Bullwhip effect, beer gaming, order rationing, large batch sizes, inaccurate demand forecasting, stock outs, stock overruns, cost overruns, and high defects density Topic development in the area of triple bottomline economic, environmental, and social sustainability, lean, and six sigma in supply chain management is presented in an extension of this article please click here. F Supply Chain Performance Drivers: The key performance drivers of supply chain management are - facility effectiveness, inventory effectiveness, transportation effectiveness, information effectiveness, sourcing effectiveness, cost effectiveness, speed effectiveness, delivery effectiveness, quality effectiveness, service effectiveness, green effectivness, economic effectiveness, social empowerment effectiveness, employee skills and competencies, supplier effectiveness, flexibility, lean effectiveness, agility, responsiveness, resilience, and market orientation effectiveness.
These drivers comprise multiple performance indicators that may be measured quantitatively by collecting data and applying them in SPSS.
The studies in this area may primarily be quantitative with statistical significance analysis of interrelationships between variables. The sustainable supply chain management to support the triple bottom-line equity, environment, and economy is also included in the scope of supply chain performance drivers.
Topic development in this area is presented in an extension of this article please click here. The concept of demand forecasting is diminishing as more and more companies are now focusing on getting accurate and timely demand information rather than depending upon forecasts.
This is carried out by effective integration of information from all the nodes of the supply chain and disseminating upstream as well as downstream.
However, there are many industries that will continue to depend upon push strategy and demand forecasting. The students may like to study about the drawbacks of traditional forecasting methods like time series forecasting, moving averages, trend analysis, etc.
Many companies want to incorporate real time data in their forecasting models and focus on forecasting for shorter periods. This requires lots of additional knowledge over and above the traditional ways of working upon past demand data.
The modern forecasting models may be based on accurate knowledge of customer segments, major factors that influence forecasting accuracy, information integration, bullwhip effect, scenario planning, simulations, external factors, risks, and causal Fishbone or Ishikawa analysis. Most of the studies may be qualitative or triangulated.
Aggregation is carried out by a company to determine the levels of pricing, capacity, production, outsourcing, inventory, etc. Aggregation planning helps in consolidation of the internal and external stock keeping units SKUs within the decision and strategic framework for reducing costs, meeting demands and maximising profits.
It may be viewed as the next step of either demand forecasting push strategy or demand information accumulation pull strategy for carrying out estimations of the inventory level, internal capacity levels, outsourced capacity levels, workforce levels, and production levels required in a specified time period.
Aggregation planning in modern supply chains is carried out using advanced planning tools comprising of 2D layout maps, 3D spatial maps, structural maps, data association with map items, spatial data mining, location-aware data mining, analytical hierachy planning, etc. The students may like to conduct qualitative case studies and modeling-based quantitative studies to research about modern practices of aggregation planning in various industrial and retail sectors.
I Global Supply Chains: In the modern world, suppliers in a country are facing direct competition from international suppliers as if the latter are operating within the country. This has happened due to modernization of information management and dissemination, supply routes, payment channels, electronic contracts, leading to improved reliability and reduced lead times of international suppliers.
E-Supply Chains are linked with E-Businesses that use Internet as their medium for accepting orders and payments, and then using the physical channels to deliver the products. E-supply chain is an excellent example of pull strategy and short term demand forecasting.
Information flow across the supply chain is instantaneous because both end points and the intermediate agents work through a single Internet enabled portal. E-Bay and Amazon are viewed as the two most successful companies using this concept at global scales with built-in electronic contract signing and management, electronic payment processing, and electronic delivery processing.
The students can find various case studies on E-Supply chains, although the empirical theories are still evolving. The research studies would be quite challenging, modern and unique as the field is still evolving.
K Supply Chain Risk Management: Supply chain risk management is gaining immense popularity due to globalization of competitive landscapes, and growing threats and uncertainty. Risk management in supply chains is directly linked with supply chain agility and hence it needs to be done in very organized and objective manner, incorporating quantitative models.
The root of the problems lie somewhere in the uncertainties in upstream as well as downstream flows of materials, funds, and information. For example, if there are errors in calculating economic order quantities EOQ and reorder levels, the ordering process may not synchronize well with the lead-times.
On the other hand, the lead-times are uncertain due to various delay factors and fluctuation in costs if a transportation mode is changed. Holding inventory is the safest haven for logistics managers, but I am sure the top management of any organisation will never like it. The primary purpose of this subject matter is to keep lowest possible inventories while ensuring consistent, timely, and accurate supplies to the end users.
The challenges are in the following areas: You will appreciate, supply chain risk is also a floating entity just like materials, funds and information.
If the entire chain is integrated through an extranet portal system, and updates of every consignment code are uploaded periodically by all agents connected with the portal, there can be proactive risks generated by the software for the logistics managers such that they can take operating level, tactical level, and even strategic level mitigation actions.
Although such a system is still in its conceptual stage, academic researchers can contribute to its overall conceptualisation and design. It may be integrated as a layer above the traditional SCM software.
An agent sensing any variations in delay or cost may log a threat and its probability against a consignment code.
The probability and impact levels may be fed to the logistics agents that can calculate the impact like stock-out by a date. The outcome will be a risk value which will be escalated to an appropriate authority level, and appropriate mitigation action will be suggested. For example, if there is a temporary unrest in a country, the current consignments can be airlifted and subsequent orders placed to an alternate supplier.
The key risks that you can target in your SCRM framework can be categorized as: You may collect a list of known supply chain threats in your area of interest, categorize them under one of these risk categories, judge the impact on business, judge the vulnerabilities, and arrive at the risk values using the quantitative formulations of the chosen model.
Once the risk values are calculated, you may propose mitigation strategies pertaining to redundant suppliers, better supplier relationships i. You may validate the proposed SCRC framework by interviewing supply chain experts in your country. Hence, the problem statement of your thesis will be related to the known threats and vulnerabilities in supply chain management in the selected transactions chosen by you , and the solution will be a novel Supply Chain risk communication framework to manage the risks resulting from these threats and vulnerabilities.
It will be a quantitative research with descriptive and inferential statistical analysis. The outcome of this model will be on-the-fly alerts on risk levels and their mitigation as soon as a risk is logged you will need to define mitigation actions against various risk levels, and the suggested authorities to make decisions.
You may like to validate your model by surveying experts in your network. A short, and to-the-point structured questionnaire may be used such that you can present validity and reliability analysis using SPSS.
A large number of industry-specific studies are possible in this study approach and every researcher may come forward with a unique supply chain risk management model for a specific industry in a specific country and its location. Topic development in the area of triple bottomline economic, environmental, and social sustainability, lean, and six sigma in supply chain management is presented in an extension of this article please click here.
Please contact us at consulting etcoindia. A number of information technology platforms are popular in supply chain management. These tools possess various functionalities - like, enterprise planning, demand planning, production scheduling, distribution planning, procurement and replenishment planning, facilities location planning, replenishment planning, manufacturing planning, logistics strategy formulation, stocking levels planning, lead times planning, process costing, customer service planning, procurement, supply and transportation scheduling, global logistics management, constraint-Based master planning, demand management, material planning, network Design and optimization, supply chain analytics, transportation management, Vendor Managed Inventory VMI planning, continuous replenishment planning CRP , and many more.
The students may like to study about various IT systems and software tools for carrying out such activities in supply chain management. The studies may be primarily qualitative or triangulated. Your focus should be on application design and integration, system features that are practically useful in supply chain operations, decision-making and decision-supporting tools like, dashboards, supply chain intelligence, supply chain performance monitoring, etc.
RFID may be viewed from two perspectives: I hereby suggest you some topics in which, both the perspectives are integrated. Especially in the field of value chain management, many studies are emerging on the relationships between technology excellence variables and process excellence variables.
Let us visualize the variables of the two sides: In addition, we can also add sub-variables or latent variables to each of them. If you observe, each of these areas demand a separate study, which may incorporate explorations of designs, relationship building, and simulations. We have completed multiple technical studies involving design of architectures using RFID sensors and WiFi networks in different application scenarios, and simulating the key variables reflecting performance, behavior, efficiency, effectiveness, and problem areas.
You may design your research in two directions: Cloud computing is a new ICT research paradigm of services-oriented computing in which, infrastructure, platforms, applications, security, databases, communications, and security are offered as on-demand services by cloud service providers through virtualisation and orchstration of computing, networking, and storage facilities deployed through massive parallel computing of hundreds of thousands of hardware systems connected in arrays.
A study on modern logistics. Given that the field of business has experienced a tremendous change during the last two decades, it would be good to look at these changes and study both its positive and negative effects. Logistics collaboration in supply chains.
Take a closer look at the new trend of integration and collaboration in supply chains. You may focus on Swedish manufacturing companies. The roles that top management plays when it comes to supply management practices. If done correctly, this could provide readers with a really great insight. Inventory effect on supply chain. Name possible problems along with solutions. E-procurement, external customers and internal customer service. A closer look at the effects as well as interdependence.
A look into strategic issues, partnerships and values in different supply chains in European publishing companies. A smarter decision support system meant for transport infrastructure investments. Make emphasis on joint logistic. Strategies for a more sustainable supply chain i. An analysis of the four network problems concerning telecommunications, transportation and supply chain management. A look into the supply chain and joint replenishment actions in the retail grocery industry.
The logistics of E-business.
Doctoral dissertations in logistics and supply chain management A review of Scandinavian contributions from to EbbeGubi Center for Industrial .
Supply Chain Management & Logistics is a multidisciplinary subfield, as it combines concepts from Industrial Engineering, Systems Engineering, Operations Management, Logistics, Procurement, Information Technology, and Marketing.
The doctoral program in Supply Chain Management is designed to produce outstanding scholars in the fields of logistics, transportation, and supply chain management. Graduates of the program are well-qualified to take academic positions in colleges and universities in the United States and abroad. DOCTORAL DISSERTATIONS IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT A review of Nordic contributions from - Christopher Rajkumar Lone Kavin.
Supply Chain Management Research Project Overview Completing a thesis is a requirement for every graduate student at MIT. The SCM program turns this academic requirement into an opportunity for students to conceive and execute independent research on a topic of their choice. Doctoral dissertations in logistics and supply chain management: a review of Nordic contributions from to Christopher Rajkumar 1 • Lone Kavin 1 • Xue Luo 1 • Jan Stentoft 1.