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Modeling job rotation in manufacturing systems: The study of employee's boredom and skill variations

Authors
Journal
International Journal of Production Economics
0925-5273
Publisher
Elsevier
Publication Date
Volume
123
Issue
1
Identifiers
DOI: 10.1016/j.ijpe.2009.07.010
Keywords
  • Job Rotation
  • Boredom
  • Manufacturing
  • Search Algorithm
Disciplines
  • Computer Science
  • Mathematics

Abstract

Abstract This paper presents a methodology for job rotation in manufacturing systems that aims to ease employee's boredom and exploit the effect of rotation intervals on worker's skill learning and forgetting. To this end, a series of formulations are proposed to measure employee's boredom and skill variations during a production horizon. Based on the proposed formulations, a mathematical programming model for job rotation is developed, and a numerical example is provided to illustrate its applications. Furthermore, based on a generic framework of the SAMED metaheuristic, a search algorithm, SAMED-JR, is tailored to solve the proposed model for large scale problems.

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