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Supply Chain Capacity Analytics for Manufacturing

This course is part of Principles of Manufacturing MicroMasters.

This advanced course, part of MIT's Principles of Manufacturing MicroMasters program, focuses on decision-making frameworks for manufacturing system and supply chain design. Students learn sophisticated models and methods for capacity planning, logistics network design, supply chain contracting, and risk mitigation. The course emphasizes practical applications through industry cases and software tools, building competence in manufacturing engineering and management. Designed for those with prior knowledge in logistics systems and operations management, it provides advanced frameworks for solving complex supply chain challenges.

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Supply Chain Capacity Analytics for Manufacturing

This course includes

9 Weeks

Of Live Classes video lessons

Advanced Level

Completion Certificate

awarded on course completion

14,525

Audit For Free

What you'll learn

  • Master frameworks and models for manufacturing system design and analysis

  • Apply decision support tools for supply chain optimization and planning

  • Develop strategies for capacity planning and supply chain risk mitigation

  • Implement effective logistics network design solutions

  • Utilize software tools for supply chain decision making

Skills you'll gain

Supply Chain Management
Capacity Planning
System Design
Logistics Network Design
Risk Mitigation
Manufacturing Systems
Decision Support Models
Operations Management

This course includes:

Live video

Graded assignments, Exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Certificate

Top companies offer this course to their employees

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

The course provides comprehensive coverage of system design decision-making in manufacturing and supply chains. Topics include frameworks for logistics network design, capacity planning and flexibility, make-buy decisions, supply chain contracting, and risk mitigation strategies. The curriculum combines theoretical models with practical industry applications, emphasizing decision support tools and methods for complex manufacturing environments. Students learn through case studies and gain hands-on experience with software tools used in modern supply chain management.

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Principles of Manufacturing MicroMasters

Payment options

Financial Aid

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 Capacity Analytics for Manufacturing

This course includes

9 Weeks

Of Live Classes video lessons

Advanced Level

Completion Certificate

awarded on course completion

14,525

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.