Advanced Manufacturing Course

Smart Production Systems

Start Anytime
$250
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Location:

Online

Schedule:

Self-paced

Course Summary

Learning Objectives

Course Overview

Credentials

Instructional Team

Course Summary

Discounts

The following GoBlue pricing discounts are available and cannot be combined. Please contact us at [email protected] for a promotional code that will allow you to apply the eligible discount to your registration.

With 15 or more enrollments, you may want to consider a custom program for your organization. Please contact us to learn more about our partnership opportunities.

Once you have paid, a discount cannot be added retroactively.

THESE DISCOUNTS ARE NOT APPLICABLE FOR PARTNER PROGRAMS.

Name Details Level
Group Discount Level 1 Enroll 3-4 participants in one course offering. 5%
Group Discount Level 2 Enroll 5 or more participants in one course offering. 10%
U.S. Government Current employees with .gov email (not applicable to government contractors). 10%
U.S. Military Active duty personnel, reservists, retired or disabled veterans. 10%
Students Currently enrolled student from any university; please send photo of date-stamped student ID. 10%
Michigan Engineering Professional Education Alumni Past participants of any Michigan Engineering Professional Education certificate course. 10%
U-M Alumni U-M alumni from any school or department – please send uniqname to [email protected] for confirmation. 20%
U-M Students and Staff Current U-M students, faculty, and staff – please send uniqname to [email protected] for confirmation. 20%
Go Blue Discounts
Instruction Time Completion Time CEUs
Smart Production Systems ~ 4-6 hours 60 days after start date 1

Smart Production Systems (SPS) are manufacturing systems capable of self-diagnosing and autonomously designing optimal continuous improvement projects. This online course provides an introduction to SPS technology and its relation to Industry 4.0, enabling learners to participate in the design, implementation, and operation of PMA-based SPS.

Learning Objectives

  • 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.)

Course Overview

  • 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 Deployment (44 min)
  • Demonstration of PMA-based SPS Operation at Large and Small Production Systems (57 min)
  • Course Summary and Extensions (28 min)
  • You will have access to this course for 60 days.
  • This course contains 6-7 hours of required recorded material and an associated testing assessment.

Successful completion requires you to receive an 70% passing grade on the course assessment.

 

There are no prerequisites for this course. A bachelor’s degree in a science, engineering, or technical field is recommended, but not required.

View Technical Requirements

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). 

Content Questions/Certification Project Support
Candidates are welcome to contact the course instructors for content questions and project support. The instructors will provide support via email, phone consultation, and/or online videoconferencing.

Credentials

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Instructional Team

Pooya Alavian, PhD

  • Senior Cloud Solution Architect, Microsoft

Semyon Meerkov, PhD

  • Professor Emeritus, Electrical Engineering and Computer Science

Liang Zhang, PhD

  • Professor, College of Engineering, University of Connecticut

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For more information or answers to any questions please email [email protected] or fill out the form.

Main Office:
2401 Plymouth Road, Suite A/B
Ann Arbor, MI 48105
(734) 647-7200
[email protected]

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