Course description
Manufacturing Systems I
In this course, part of the Principles of Manufacturing MicroMasters program, you will learn how to analyze manufacturing systems to optimize performance and control cost. You will develop an understanding of seemingly opaque production lines with a particular emphasis on random disruptive events – their effects and how to deal with them, as well as inventory dynamics and management.
Manufacturing systems are complex and require decision-making skills and analytical analysis. Managers and practitioners use a wide variety of methods to optimize the performance of manufacturing systems and control costs. The many processes and functions involved in building and maintaining these systems demand a high-level of knowledge.
In this course, you will learn about these various methods and processes. We will start with a review of probability and statistics, and then cover topics in linear programming, queueing theory, inventory management and the Toyota Production System (TPS). Lastly, we will introduce stochastic manufacturing systems models developed here at MIT.
Upcoming start dates
Suitability - Who should attend?
Prerequisites
6.041.1x or the equivalent. Knowledge and comfortability with undergraduate-level calculus, probability and statistics."
Outcome / Qualification etc.
What you'll learn
- Applications of basic probability models
- Building and solving optimization models
- Inventory dynamics and management
- Philosophy behind the Toyota Production System (TPS)
Course delivery details
This course is offered through Massachusetts Institute of Technology, a partner institute of EdX.
10-12 hours per week
Expenses
- Verified Track -$175
- Audit Track - Free