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Operations Management for Industry 4.0 (Synchronous e-learning)

Name: Operations Management for Industry 4.0 (Synchronous e-learning)
Price: 1140.00 SGD

Training Provider: NATIONAL UNIVERSITY OF SINGAPORE

Course Reference: TGS-2020506012

S$1,140

Original: S$3,800

Save S$2,660

About This Course

"The implementation of operations management principles and practices has helped many factories remain competitive in the global marketplace. With the advent of Industry 4.0, modern day manufacturing facilities are increasingly equipped with smart technology that allow for large data collection, efficient data sharing, advanced analytics and increased automation. To maintain their competitive edge, firms will need to revisit their practices in light of recent technological advancements, including machine to machine communication (M2M) and the Internet of things (IoT).

In this course, we review traditional operations management principles and practices and examine how they can be enhanced by harnessing smart technologies that allow for large data collection, efficient data sharing, advanced analytics and increased automation.
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What You'll Learn

"Participants will study how data is used in various aspects of the production process. In addition, they will examine how such traditional operations management principles and practices can be further enhanced with the advent of Industry 4.0. The knowledge and skills taught in this course will enable participants to drive productivity improvements across various aspects of the manufacturing process including, inventory management, quality control and equipment maintenance.

At the end of this course, participants will have a better appreciation of how advances in data analytics, artificial intelligence and smart technologies can be harnessed to greatly increase the competiveness of modern day manufacturing facilities.

1. Lean Manufacturing and Six Sigma
2. Inventory management
3. Quality control
4. Maintenance strategies and failure analysis"

Entry Requirements

A basic background in mathematics, statistics and probability is assumed. Basic familiarity with Microsoft Excel is also expected. This course will involve simple Python programming. Prior computer programming experience is helpful, but not required.