The Massachusetts Institute of Technology is offering free online course on Introduction to Manufacturing Systems. In this course, part of the Principles of Manufacturing Micro Masters program, you will learn how to analyze manufacturing systems to optimize performance and control cost.
In this eight week course, applicants will learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and duration of events, especially random events. This course will start on April 3, 2018.
Course At A Glance
Length: 8 weeks
Effort: 12-12 hour’s pw
Subject: Business Administration
Institution: Massachusetts Institute of Technology and edx
Certificate Available: Yes, Add a Verified Certificate for $175
Session: Course Starts on April 3, 2018
Massachusetts Institute of Technology – a coeducational, privately endowed research university founded in 1861 – is dedicated to advancing knowledge and educating students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century.
About This Course
In this course, part of the Principles of Manufacturing Micro Masters 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.
Why Take This Course?
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, queuing theory, inventory management and the Toyota Production System (TPS). Lastly, we will introduce stochastic manufacturing systems models developed here at MIT.
- Applications of basic probability models
- Building and solving optimization models
- Inventory dynamics and management
- Philosophy behind the Toyota Production System (TPS)
Stanley B. Gershwin
Stanley B. Gershwin is a Senior Research Scientist at the MIT Department of Mechanical Engineering.
Knowledge and comfortably with undergraduate-level calculus, probability and statistics
How To Join This Course
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