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Supply Chain Inventory Analytics

Master advanced supply chain strategies and inventory management techniques in this comprehensive MIT course for manufacturing professionals.

Master advanced supply chain strategies and inventory management techniques in this comprehensive MIT course for manufacturing professionals.

This advanced course, part of MIT's Principles of Manufacturing MicroMasters program, focuses on coordinating supply chain components into efficient systems. Students learn to optimize merchandise production and distribution while minimizing costs and meeting service requirements. The course emphasizes managing supply chain variability through tactics like risk pooling, inventory placement, integrated planning, information sharing, and delayed differentiation. Through lectures, computer exercises, and case discussions, participants develop practical skills in supply chain analysis and optimization. The course provides essential knowledge for professionals seeking to enhance their supply chain management capabilities.

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Supply Chain Inventory Analytics

This course includes

9 Weeks

Of Live Classes video lessons

Advanced Level

Completion Certificate

awarded on course completion

15,201

Audit For Free

What you'll learn

  • Master supply chain coordination and system-wide optimization techniques

  • Implement operational tactics for managing supply chain variability

  • Develop strategies for inventory placement and risk pooling

  • Optimize integrated planning and collaboration methods

  • Analyze supply chain performance using quantitative models

Skills you'll gain

Supply Chain Management
Inventory Analytics
Risk Pooling
Operations Management
Logistics Planning
System Optimization
Manufacturing Systems
Distribution Strategy

This course includes:

Live video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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Module Description

This course covers advanced concepts in supply chain management and inventory analytics. Students learn to coordinate material, information, and money flows across supply chains, optimize system-wide performance, and implement strategies for managing variability. The curriculum emphasizes practical applications through case studies and computer exercises.

Fee Structure

Instructors

A Pioneer in Operations Research and Supply Chain Management

Stephen Graves, a distinguished professor at MIT since 1977, serves as the Abraham J. Siegel Professor of Management with a joint appointment in the Department of Mechanical Engineering. His illustrious career spans decades of contributions to operations research and supply chain management, marked by significant leadership roles including Deputy Dean at MIT Sloan School, Chair of the MIT Faculty from 2001-2003, and co-director of the MIT Leaders for Manufacturing Program. After earning his AB and MBA from Dartmouth College and completing his PhD in operations research from the University of Rochester, he has dedicated his expertise to developing innovative solutions in manufacturing systems and distribution networks. His research portfolio encompasses supply chain optimization, manufacturing flexibility, and online retail operations, collaborating with major corporations like Amazon, IBM, Intel, and Boeing. A prolific scholar and editor, Graves has co-edited influential handbooks on production logistics and supply chain management while serving as editor-in-chief of Manufacturing & Services Operations Management. His exceptional contributions have earned him numerous accolades, including fellowships in INFORMS, MSOM, and POMS, alongside membership in the prestigious National Academy of Engineering. As a testament to his industry impact, he has served as chief science advisor to JDA Software and held advisory positions with companies like Optiant and Invistics, bridging the gap between academic theory and practical applications in operations management.

Sean Willems
Sean Willems

2 Courses

A Leading Expert in Supply Chain Analytics and Inventory Optimization

Sean Willems is a distinguished academic and entrepreneur who serves as the Haslam Chair in Supply Chain Analytics at the University of Tennessee's Haslam College of Business. After earning his education from the Wharton School and MIT Sloan School of Management, he made significant contributions to the field of supply chain optimization. His entrepreneurial spirit led him to co-found Optiant in 2000, a successful venture in multi-echelon inventory optimization tools that was later acquired by Logility. As both a scholar and practitioner, Willems has collaborated with major corporations like Hewlett Packard, Proctor & Gamble, and Intel, earning multiple recognitions including the 2008 Wagner Prize for his groundbreaking work on inventory placement under non-stationary demand. His research focuses on developing tactical decision support tools, inventory forecasting, and optimization, with his work gaining particular relevance during the COVID-19 pandemic. Currently, he directs the business analytics and statistics Ph.D. program at the University of Tennessee while maintaining a visiting professor position at MIT Sloan School of Management since 2016. His commitment to education extends beyond traditional teaching, as demonstrated by his creation of a high-quality video studio during the pandemic to enhance online learning experiences through his innovative "World of Edcraft" project. Willems continues to shape the field through his editorial roles at Production and Operations Management and Interfaces, while his research publications on supply chain configuration and strategic safety stock placement remain highly influential in the academic community.

Supply Chain Inventory Analytics

This course includes

9 Weeks

Of Live Classes video lessons

Advanced Level

Completion Certificate

awarded on course completion

15,201

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.