Supply Chains for Manufacturing: Capacity Analytics
Supply Chains for Manufacturing: Capacity Analytics. Learn about various models, methods and software tools to help make better decisions for system design in manufacturing systems and supply chains.. This course was formerly known as Supply Chains for Manufacturing II.
Course Information
Certificate Track
Learn for Free
About this Course
As part of the Principles of Manufacturing MicroMasters program, this course focuses on decision making for system design, as it arises in manufacturing systems and supply chains.
You will learn about frameworks and models for structuring key system design issues and trade-offs that arise in today’s supply chains and manufacturing systems.
The course will also cover various models, methods and software tools for decision support for:
- Logistics network design
- Capacity planning and flexibility
- Make-buy
- Supply chain contracting
- Supply chain risk mitigation
You will learn through industry applications and cases to illustrate concepts and challenges.This course should be taken in sequence following Supply Chains and Manufacturing Systems: Planning.
Develop the engineering and management skills needed for competence and competitiveness in today’s manufacturing industry with the Principles of Manufacturing MicroMasters Credential, designed and delivered by MIT’s #1-ranked Mechanical Engineering department in the world. Learners who pass the 8 courses in the program will earn the MicroMasters Credential and qualify to apply to gain credit towards MIT’s Master of Engineering in Advanced Manufacturing & Design program.
What you'll learn
- Frameworks and models forsystem design
- Decision supportmodels
- Methods and software tools for supply chain contracting and risk mitigation
Prerequisites
This course should be taken in sequence following Manufacturing and Supply Chain Planning. Graduate-level Introduction to Logistics Systems or Operations Management
Meet your instructors
Stephen Graves
Abraham J. Siegel Professor of Management
Stephen Graves is the Abraham J. Siegel Professor of Management and a Professor of Operations Management at the MIT Sloan School of Management. He has a joint appoitnemnt with the MIT Department of Mechanical Engineering. Graves develops and applies operations research models and methods to solve problems in manufacturing and distribution systems and in service operations. His current research is focused on operational issues arising in online retailing, supply chain optimization and strategic inventory positioning, and production and capacity planning for various contexts. Graves holds an AB in mathematics and social sciences and an MBA from Dartmouth College, and an MS and a PhD from the University of Rochester.
