Objective:
Recently we experienced the importance of supply chain and impact of supply chain disruptions in all sectors across the world during the recent Covid wave. Billions of dollars’ worth of business lost because of lack of preparedness and planning. This workshop tries to create awareness, hands on training about supply chain analytics and bring much needed tools to industry professionals. Professionals are able to see the power of analytics in supply chains. Supply Chain Modelling using Linear Programming (LP) is a very useful tool for the professionals to optimize total supply chain costs. In this course, we used excel solver to master some complicated modelling techniques.
Whom to Attend:
Purchasing & Materials Managers/Executives, Logistics Managers, Supply Chain Managers from Production, IT Managers, Finance, Marketing and R&D areas who interface with the Purchasing & Materials Management.
Professionals from Supply chain/Logistics and Warehouse industry, Manufacturing Professionals working in procurement departments, Strategy and Management Consultants advising companies on supply chain strategies, Bigdata professionals and data scientists are keen to understand the supply chain dynamics and keen to build business models.
Topics Covered:
- Introduction to Supply Chain Analytics.
- Supply Chain Challenges in today’s business world.
- Demand Forecasting Models.
- Inventory Management Systems.
- Plant and Warehouse Decisions such locations and capacity etc.
- Decisions on Transportation and Freight – transportation modes, containerization, port operations.
- Importance of E-procurement and GEM Portal.
- Strategic Procurement and Supplier Development.
- Supply Chain Model building using Linear programming.
- Performance Management and SCOR Model.
Workshop Structure
This online workshop is 12 days program and would be open for registered participants. The registered and paid participants would be eligible to attend the next workshop starting 1st Mar – 13th Mar, 2022, between 7 PM – 9 PM, excluding Sundays.
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