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Operator Assignment Decisions in a Highly Dynamic Cellular Environment

by Alhawari, Omar I.

Abstract (Summary)
Operators are assigned to operations in labor-intensive manufacturing cells using two assignment approaches: Max-Min and Max. The major concern is to see how these two approaches impact operators' skill levels, makespan and total processing time among cells. The impact is discussed under chaotic environment where sudden changes in product mix with different operation times are applied and under non-chaotic environment where same product mix is run period after period. In this thesis, operator's skill levels are affected by learning and forgetting rates. Max-Min improved operators' skill levels more significantly than Max in this multi-period study; particularly in chaotic environment. This eventually improved makespan and total processing times as well.
Bibliographical Information:

Advisor:

School:Ohio University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:operators max min and makespan skill levels product mix learning forgetting rates chaotic environment operation times

ISBN:

Date of Publication:01/01/2008

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