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Operator Assignment Decisions in a Highly Dynamic Cellular Environment

Operator Assignment Decisions in a Highly Dynamic Cellular Environment
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Author(s): Gürsel A. Süer (Ohio University, USA)and Omar Alhawari (Royal Hashemite Court, Jordan)
Copyright: 2013
Pages: 18
Source title: Industrial Engineering: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-1945-6.ch061

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Abstract

Operators are assigned to operations in labor-intensive manufacturing cells using two assignment strategies: Max-Min and Max. The major concern is to see how these two approaches impact operators’ skill levels and makespan values in a multi-period environment. The impact is discussed under chaotic environment where sudden changes in product mix with different operation times are applied, and also under non-chaotic environment where same product mix is run period after period. In this chapter, operators’ skill levels are affected by learning and forgetting rates. The Max-Min strategy improved operators’ skill levels more significantly than Max in this multi-period study; particularly in chaotic environment. This eventually led to improved makespan values under Max-Min strategy.

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