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Why Supply Chain and Logistics from IIM Mumbai

As global commerce grows, skilled logistics professionals are essential for keeping supply chains agile, cost-effective, and tech-enabled. This program prepares you for the fast-paced world of supply chain operations across industries like e-commerce, retail, and manufacturing.

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Why Choose a Certification in Supply Chain & Logistics Management Program

Supply chain and logistics management is being revolutionised by technology and global demand. This certification gives you the tools to optimise operations, improve efficiency, and manage risks in a fast-changing landscape. Ideal for professionals seeking to lead in logistics, reduce costs, and stay ahead in the competitive world of global supply chains.

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Career Opportunities

Upon completion, learners can explore roles such as:

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What Will You Learn

Introduction to Supply Chain & Logistics

Global supply chains and their complexities

Bullwhip effect, uncertainty management

Core logistics functions: transportation, inventory, and warehousing

Core Logistics & Global Supply Chain Operations

Domestic (FTL/LTL) and international freight (FCL/LCL, air freight)

Warehouse design, operations, and material handling

Freight forwarding and global logistics strategies

Understanding Incoterms 2024, key logistics documents (BL, AWB, COO, DG)

Technology & Digital Transformation

IoT, big data, and automation in warehousing (Warehouse 4.0)

AR/VR, sensors, wearables, and cobots

Blockchain applications in logistics

Implementation challenges & opportunities in digital logistics

Optimization & Advanced Logistics Strategy

Inventory management (EOQ, cost metrics, policies)

Network design, capacity planning, and forecasting

Optimization models: Assignment, Transportation, Transshipment

Simulation techniques for logistics performance

Risk & Strategic Supply Chain Management

Long-term planning and competitive strategies in healthcare organisations

Risk mitigation strategies and best practices

Strategic decision-making under uncertainty

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