Author

Akerman

Date of Award

12-2004

Degree Name

Master of Science in Engineering

Department

Industrial and Entrepreneurial Engineering and Engineering Management

Department

Industrial and Manufacturing Engineering

First Advisor

Dr. Tarun Gupta

Second Advisor

Dr. Sam Ramrattan

Third Advisor

Dr. Larry Mallak

Access Setting

Masters Thesis-Open Access

Abstract

Machine cell formation is an important issue in industrial and manufacturing engineering. Properly assigned machine cells can improve manufacturing system efficiencies and decrease unnecessary material movement. To address the need for proper cell formation techniques a myriad of heuristics have been created that attempt to optimize the grouping of machines. Further, much industrial engineering research has been conducted on the application of simulation technology to manufacturing system evaluation.

The purpose of this thesis is to investigate the combination of traditional machine grouping heuristics with simulation technology and to create a generalized meta-model based upon this evaluation. This investigation analyzes the problems and opportunities of combining machine grouping heuristics and techniques with the power of simulation technology. The results of this study indicate increased simulation output of entities and increased performance of resources through the application of the hybrid methodologies.

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