Using Simulation Techniques to Evaluate Group Technology Heuristics: A Recommended Methodology for Comparison and Optimization
Date of Award
Master of Science in Engineering
Industrial and Entrepreneurial Engineering and Engineering Management
Industrial and Manufacturing Engineering
Dr. Tarun Gupta
Dr. Sam Ramrattan
Dr. Larry Mallak
Masters Thesis-Open Access
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.
Akerman, Ashley Nolen, "Using Simulation Techniques to Evaluate Group Technology Heuristics: A Recommended Methodology for Comparison and Optimization" (2004). Masters Theses. 4960.