List of all IE courses

Information
3 Credits
Fall term, odd years
Lecture only

Prerequisites
Graduate standing and computer experience
Contact
Logen Logendran
541.737.5239
416 Rogers Hall

Course Description

Designing manufacturing cells, impact of alternative process plan on cell design, part-machine assignment to cells, disaggregated manufacturing cells, and group scheduling.

Topics

  • Introduction to CM systems.
  • Design of manufacturing cells - part-machine incidence matrix-based and operational constraints-based approaches
  • Alternative process plans and their impact on the design of manufacturing cells
  • Incorporating features of lot splitting, multiple units of the same machine type, and non-consecutive operations of parts on the same machine as operational constraints in the design of manufacturing cells
  • Creating disaggregated manufacturing cells through simultaneously dealing with duplicating bottleneck machines and subcontracting bottleneck parts
  • Introduction to group scheduling
  • Similarities between conventional flow shop scheduling problems and group scheduling problems
  • Heuristic approaches for solving level 1 problem in group scheduling
  • Optimal and heuristic approaches for completely solving group scheduling problems at levels 1 and 2

Learning Outcomes

The student, upon completion of this course, will be able to:

  1. Describe the key issues in cellular manufacturing to effectively implement manufacturing cells in industry practice.
  2. Show how part-machine incidence matrix based algorithmic approaches can be used to design manufacturing cells.
  3. Develop the model and algorithmic procedure to assess the impact of alternative process plans on the design of manufacturing cells.
  4. Develop the model and algorithmic procedure to incorporate key operational constraints in manufacturing cell design.
  5. Develop the model and algorithmic procedure to create disaggregated manufacturing cells.
  6. Show how optimal and heuristics approaches can be used to solve group-scheduling problems.