- Introduction to SPS, PMA, and PMA-based SPS (38 min)
- SPS vs Other Managerial Techniques (31 min)
- Types of Production Systems, Machine and Buffer Parameters, and Performance Metrics used in PSE and PMA (42 min)
- PSE and PSE Toolbox concepts embedded in PMA (48 min)
- PSE Toolbox Modules for Performance Analysis, Bottleneck Identification, and What-if Analysis (24 min)
- PSE Toolbox Modules for Leanness Lead Time Analysis and Control, MJP Performance Portrait, and Quality (37 min)
- PMA and PMA-based SPS Architecture, SPS Databases, and Steps for SPS Deploymentt (44 min)
- Demonstration of PMA-based SPS Operation at Large and Small Production Systems (57 min)
- Course Summary and Extensions (28 min)
Each course contains 4-6 hours of online instruction divided into shorter modules to make it easy to learn at your own pace.
You will have 180 days from your course start date to complete the course.
Successful completion requires you to view all course modules and receive an 80% passing grade on the course assessment. Upon completing these requirements, you will earn a digital badge for your resume or LinkedIn page.
Upon successful completion of 4 CCET courses, you will receive a U-M Certificate of Achievement.
Select 4 courses from one concentration to deepen your knowledge in a subject or area. If you choose a specialization, your certificate will note the specialization you completed.
There are no prerequisites for this course. A bachelor's degree in a science, engineering, or technical field is recommended but not required.
To view technical requirements, click here.
Administrative/Online Technical Support
Support staff are available via phone and email to help with administrative and technical issues during our normal business hours (Monday through Friday 8:00 a.m. to 5:00 p.m. Eastern Time).
- Acquire understanding of the field of Smart Production Systems, namely, SPS structure, information requirements, and potential effectiveness
- Acquire a working knowledge of Programmable Manufacturing Advisor, enabling the PMA application for designing effective continuous improvement project
- Develop skills necessary for managing PMA-based SPS
- Be able to participate in programming and installation of PMA-based SPS on the factory; specifically, assisting in developing a mathematical model of the production system at hand and forming the equipment status database
- Be able to evaluate SPS efficacy, as compared with other types of production systems management (i.e., by experience, intuition, discrete-event simulations, etc.)
The course instructors, Drs. S. Meerkov, L. Zhang, and P. Alavian, have financial interests in and serve as officers of Smart Production Systems LLC, Ann Arbor, MI.