❶I suggest that students may like to undertake academic research studies on how supply chain integration is carried out by modern companies, by conducting on-field surveys and interviews. The students may chose a particular area and conduct on-site interviews of supply chain experts about how these practices are incorporated by organizations in their supply chain integration strategies.
However, you cannot slack off as well. This will play a significant role in your academic career and, as such, you would need to choose it wisely.
Of course, it also has to be something that you are interested in. This should help make the entire process of researching and writing a bit easier. It is important for you to be able to choose a topic that you can relate to, since you will be spending quite a bit of time talking and learning about it. To help you get started, here are a few interesting topics that might give you a few good ideas for interesting supply chain management dissertation topics. So there you have it, just a small compilation of topics that you might find interesting and useful when coming up with your own.
After all, everybody can use a little nudge when it comes to thinking up a good topic to work on. Remember that you are not limited to above samples of supply chain management dissertation topics. Feel free to discover interesting aspects of the subject, order dissertation or its parts at DissertationWritings. Buying dissertation is safe with us. Take a look at our Progressive Delivery feature. Want to get plagiarism-free dissertation of top-notch quality?
There is no better place to do it than DissertationWritings. Supply Chain Management Dissertation Topics Are you looking for supply chain management dissertation topics? The purpose is to give a description of the supply chain within a system that has great distances between sales units and production. You can choose to provide solutions to certain logistic issues as well.
A study on modern logistics. A number of metrics are taken as inputs to the strategic supply chain planning to ensure that optimum efficiency and effectiveness can be achieved. This research area may require on-site quantitative data collection, and quantitative analytics using SPSS and such other statistical analysis tools to arrive at the results. The students may have to discover independent and dependent variables and their interrelationships using statistical significance testing and other inferential statistical methods.
E Supply Chain Integration: This research area may be taken as an extension of functional integration point A. Other forms of integration in supply chain management are logistics integration, process integration, supplier integration, technology integration, data integration, information and information systems integration, quality integration, funds integration, and infrastructure and services integration. The student may like to study how companies are integrating with key suppliers and customers to improve flow of information about demands upstream and supply downstream and to reduce lead times.
The modern concepts like direct delivery from suppliers to customers , vendor managed inventories VMI , cross-docking, optimal procurement policy, optimal manufacturing strategy, inventory minimization, input and output control, aggregation planning, process integration, real time monitoring and control, optimization of operations, supply chain object library, enterprise supply chain integration modelling, 3PL and 4PL, quick response QR , efficient consumer response ECR , continuous replenishment planning CRP , and collaborative planning, forecasting, and replenishment CPFR are included in the scope of supply chain integration.
The students may chose a particular area and conduct on-site interviews of supply chain experts about how these practices are incorporated by organizations in their supply chain integration strategies. 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.
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.
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.
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.