Study in small groups and friendly atmosphere at an international campus with renowned lecturers. Selectable specializations, practical projects, field trips, semester abroad, and internships provide great career opportunities. To apply at our university, you need to have a highschool diploma. This guarantees you individual support and personal contact with the professors.
A sample of possible research topics in this area is presented below. In addition to the following sample topics, please contact us at consulting etcoindia.
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.
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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 Engineering Management M.S. was created to provide engineers, scientists, and technicians with the business and management tools needed for leadership positions in manufacuring and industry.
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MASHLM is a part-time executive master program for humanitarian professionals covering supply chain and logistics management, humanitarian action, strategic management, process and project management, and research methods..
You allocate one year of your time and you earn a . What makes it outstanding to study at the University of Applied Sciences Europe.
The University of Applied Sciences Europe is accredited, has received multiple awards and is a worldwide leader among universities with an international leslutinsduphoenix.com apply at our university, you need to . The Origins of Lean Project Management. The story of Lean begins in post-World War II.
Japan’s devastation during the war led to scarce equipment and resources, and manufacturers had to invent ways to thrive in a new economic environment.
The Master Program in Manufacturing Engineering allows graduates to gain a deep knowledge in current and new manufacturing technologies, such as continuous manufacturing processes, regulatory issues affecting manufacturing, quality risk management, Lean Six Sigma, decision making tools, as well as a thorough knowledge in key aspects regarding the operation and management of a high tech industry.