Operator Assignment Decisions in a Highly Dynamic Cellular Environment

Operator Assignment Decisions in a Highly Dynamic Cellular Environment

Author: 
Süer , Gürsel A.
Place: 
Hershey, PA
Publisher: 
IGI Global
Date published: 
2011
Record type: 
Responsibility: 
Alhawari, Omar, jt. author
Editor: 
Modrák, Vladimir
Source: 
Operations Management Research and Cellular Manufacturing Systems
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.

Series: 
Advances in Logistics, Operations, and Management Science

CITATION: Süer , Gürsel A.. Operator Assignment Decisions in a Highly Dynamic Cellular Environment edited by Modrák, Vladimir . Hershey, PA : IGI Global , 2011. Operations Management Research and Cellular Manufacturing Systems - Available at: https://library.au.int/operator-assignment-decisions-highly-dynamic-cellular-environment