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Course

ME-419: Production management

Summary

Production management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively managing demand, supply, and implementing advanced analytics in manufacturing companies.

Lectures

Instructor

Amin Kaboli

Dr. Amin Kaboli is an external lecturer for at the Mechanical Engineering Section at EPFL and teaches Production Management (ME-419), Continuous Improvement (ME-498) to graduate students and Digital Supply Chain, Innovation and Digitization, and Sustainable Change Leadership to business executives and managers at International Institute for the Management of Logistics and Supply Chain (IML). Amin supports many organizations ranging from Fortune 500 corporations to entrepreneurial firms and industries as diverse as Watch, Consumer Goods, Food and Beverage, MedTech, and Pharma. He obtained his Ph.D. in Manufacturing Systems & Robotics, specialized in Supply Chain Management from EPFL. You can watch his TEDx talk on “Leading Change Consciously” here. TEDx talk here.

Official source

https://edu.epfl.ch/coursebook/en/production-management-ME-419

Moodle Page

http://go.epfl.ch/ME-419

About this result

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Summary

Lectures

Instructor

Amin Kaboli

Official source

https://edu.epfl.ch/coursebook/en/production-management-ME-419

Moodle Page

http://go.epfl.ch/ME-419

About this result

Lectures in this course (25)

Production Management: Overview and Value Chain

Covers the basics of production management and the value chain.

Demand Management: Forecasting Methods

Explores demand management, forecasting methods, bullwhip effect, Swiss watch industry impact, and cognitive biases in business.

Demand Forecasting: Methods & Cognitive Biases

Explores demand forecasting methods and cognitive biases affecting decision-making processes.

Demand Forecasting: Methods and Models

Explores demand forecasting methods, time series analysis, trend forecasting, and the application of the Holt-Winter model.

Demand Forecasting: Model Initiation

Explores demand forecasting through model initiation, including trend identification, seasonal components, and base level determination, to validate and monitor forecast errors.

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