• Smart Production Systems

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.

 
 

Course Overview

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.

 

Learning Objectives

  • 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
 

Program Agenda

 
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

Programmable Manufacturing Advisor (PMA)

For the past 30 years, University of Michigan researchers have studied Production Systems Engineering. Their work has resulted in the development of the Programmable Manufacturing Advisor (PMA).

PMA consists of three units:

 
 
Calculate
 

Information
Unit (IU)

maintains mathematical model of production system of interest

 



 
Analytics
 

Analytics
Unit (AU)

analyses system's health and efficacy of various improvement scenarios

 



 
Presenation
 

Optimization
Unit (OU)

calculates optimal plan for achieving the desired productivity improvement and offers it as an actionable advice to the Operations Manager

 
 

Program Faculty

The program is developed and taught by top faculty and researchers in this emerging area of engineering.

 
Semyon Meerkov
Semyon M. Meerkov
Professor, College of Engineering
University of Michigan
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Liang Zhang
Liang Zhang
Professor, College of Engineering, University of Connecticut
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Pooya Alavian
Pooya Alavian
Research Assistant, College of Engineering
University of Michigan
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