Operations and Supply Chain Analytics for Strategic Decision Making – Cohort 2

Operations and Supply Chain Analytics for Strategic Decision Making – Cohort 2

Register by Feb 5, 2024 (4pm) to avail Early Bird Discount
Last Day for Registration : March 22, 2024

About The Course:

Managers need to take critical and important decisions. These decisions need to be based on the information and data available. That makes data-driven decision-making skills the most critical in the organisations today. Decision Theory can aid managers build required framework to take optimal decisions. This theory encompasses important elements such as mathematical and empirical modelling. Today’s world is characterised by uncertainty – uncertainty in the environment, in the data and hence in the results.

Hence, good understanding of uncertainty and its impact of the optimal decision making is critical. A good manager needs to skilled in decision making under uncertainty. The program focuses building these analytical skills (such as optimization, game theory, probability theory, statistical modelling, etc.).

Further, the program includes modules on applications of these analytical tools to day-to-day decisions the managers are required to take. For example, operations decisions such as inventory optimization, supply chain management, network design, logistics planning, services management can be analyzed mathematically. The same analytical tools are relevant in sectors such as healthcare management, agriculture, public policy, etc. The program includes cases from these industries.

Learning Objectives of this course:

• Describe various methods of analytical modelling
• Demonstrate the application of modeling to areas of supply chain management
• Experiment with dynamic and stochastic nature of supply chain management
• Formulate an operations and/or a supply chain problem as an analytical model and solve it using appropriate methodologies.
• Design an analytical decision-making tool for the supply chain configuration in specific industry and organization.

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