In the present time, with increasing customer expectations, pricing pressure and multiple uncertainties, companies have started realising the phenominal benefits of use of analytics driven decision making in Supply Chain Management. Adaptive mathematical models are used extensively for Demand Forecasting, Capacity planning, Production Planning and Scheduling and Logistics Management.
Clarity of objective, identifying and collecting relevant data, using the data for developing mathematical optimisation models provide great opportunity for revenue growth, cost reduction and enhanced supply chain performance.
The programme is designed to include basic theorical concepts in Design, Strategy, Planning and Operation of Supply Chain, which is essential to develop the appropriate analytical models
Armed with the tools and techniques of SCM, that will be offered in the programme, the participants will be able to identify and diagnose problems and risk factors in their supply chain and work out solutions. They will be able to enhance the efficiency and effectiveness of the supply chain practices of their respective organisations, leading to a boost in customer services and bottom line.
Professor, Operations Supply Chain Management & Quantitative Methods
Advisor To Dean
Dr. Sesha Iyer holds a Ph.D. from the University of Mumbai, specializing in Operations Management. His career spans over 5 decades, with 15 years of industry engagement in Materials and Manufacturing, and over 35 years of academic engagement with engineering and management institutions.
An immensely passionate educator, he pursued teaching Operations and Supply Chain Management to MBA programs at business schools as well as Management Development programs with corporates and institutions. His research interest pivots on topics of supply chain analytics and simulation techniques for project risk management.
The course will be most useful to the Managers engaged in any area of Supply chain Management. Senior Managers in other functional areas like Marketing, Sales and Distribution and Finance can also attend the programme.
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