Who should attend
This course is ideal for managers, designers, and engineers in the following industries: automotive, furniture, electronics and appliances.
About the course
Increase your manufacturing productivity by utilizing a Smart Production System (SPS). An SPS is a production system capable of self-diagnosing and designing optimal continuous improvement projects.
This 2-day course introduces participants to the SPS technology, discusses the methods for SPS design, analysis, and utilization, and illustrates SPS operation using three production systems: automotive underbody assembly system (large volume manufacturing), LED street light manufacturing (mid-size enterprise), and hot-dip galvanization plant (small manufacturer).
The course will include lab sessions intended to provide the participants with hands-on experience in computational tools developed for PMA-based SPS programming and operation.
- Understand Smart Production Systems—including their architecture, infrastructure, and utilization in large, mid-size, and small manufacturing organizations
- Understand Industry 4.0 technology and its connection with SPS (in the framework of one of Industry 4.0 emphases - Smart Manufacturing)
- Gain working knowledge of SPS computational tools, namely, Production Systems Engineering Toolbox and its major component, Programmable Manufacturing Advisor
- Learn about the operation of three specific smart production systems: Automotive Underbody Assembly, LED Streetlight Manufacturing, and Hot-Dip Galvanization Operation
Day 1- SPS Fundamentals Morning (3.5 hours):
- SPS definition, architecture, and infrastructure
- SPS connections with Industry 4.0 and with productivity improvement
- SPS analytical foundation: Production Systems Engineering
- Lab session: SPS computational foundation-1 PSE Toolbox
Afternoon (3.5 hours):
- Information Unit of SPS
- Analytics Unit of SPS
- Optimization Unit of SPS
- Lab session: SPS computational foundation-2 SPS Programmable Manufacturing Advisor
Day 2- SPS Design, Operation, and Performance Verification
Morning (3.5 hours):
- SPS design
- Smart LED production system
- Smart automotive underbody assembly system
- Smart hot-dip galvanization system
Afternoon (3.5 hours):
- Design of SPS for production systems of interest to course participants
- Lab session: Programming PMA-based SPS for production systems of interest to course participants
- Discussion, Q&A, and course wrap-up
How can this course impact my work?
Imagine your Operations Manager wishes to increase the throughput by about 10%. This leads to two questions:
- What are the major causes of production losses?
- How can the 10% throughput improvement be achieved using minimal changes in equipment and workforce?
- The answers to your two questions can be provided by a device with no human participation. The production system is then referred to as smart.
Semyon M. Meerkov received the MS in EE from the Polytechnic of Kharkov, Kharkov, Ukraine, in 1962, and the PhD in Systems Science from the Institute of Control Sciences, Moscow, Russia, in 1966. He was with the Institute of Control Sciences until 1977. From 1979 to 1984, he was with the Departme...
Liang Zhang received the BS and MS degrees from the Center for Intelligent and Networked Systems, Department of Automation, Tsinghua University, Beijing, China, in 2002 and 2004, respectively, and the Ph.D. degree in Electrical Engineering - Systems from the University of Michigan, Ann Arbor, USA...
Pooya Alavian received his BS and MS degrees in Industrial Engineering from Sharif University of Technology, Tehran, Iran, in 2011 and 2013, respectively. Since 2013, he has been a doctoral student in the Manufacturing Engineering program at the University of Michigan, Ann Arbor, MI. His resear...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.