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The job rotation scheduling problem considering human cognitive effects: an integrated approach

Ashkan Ayough (Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran)
Farbod Farhadi (Roger Williams University, Bristol, Rhode Island, USA)
Mostafa Zandieh (Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, Tehran, Iran)

Assembly Automation

ISSN: 0144-5154

Article publication date: 23 April 2021

Issue publication date: 27 July 2021

212

Abstract

Purpose

This paper aims to unfold the role that job rotation plays in a lean cell. Unlike many studies, the authors consider heterogeneous operators with dynamic performance factor that is impacted by the assignment and scheduling decisions. The purpose is to derive an understanding of the underlying effects of job rotations on performance metrics in a lean cell. The authors use an optimization framework and an experimental design methodology for sensitivity analysis of the input parameters.

Design/methodology/approach

The approach is an integration of three stages. The authors propose a set-based optimization model that considers human behavior parameters. They also solve the problem with two meta-heuristic algorithms and an efficient local search algorithm. Further, the authors run a post-optimality analysis by conducting a design of experiments using the response surface methodology (RSM).

Findings

The results of the optimization model reveal that the job rotation schedules and the human cognitive metrics influence the performance of the lean cell. The results of the sensitivity analysis further show that the objective function and the job rotation frequencies are highly sensitive to the other input parameters. Based on the findings from the RSM, the authors derive general rules for the job rotations in a lean cell given the ranges in other input variables.

Originality/value

The authors integrate the job rotation scheduling model with human behavioral and cognitive parameters and formulate the problem in a lean cell for the first time in the literature. In addition, they use the RSM for the first time in this context and offer a post-optimality analysis that reveals important information about the impact of the job rotations on the performance of operators and the entire working cell.

Keywords

Citation

Ayough, A., Farhadi, F. and Zandieh, M. (2021), "The job rotation scheduling problem considering human cognitive effects: an integrated approach", Assembly Automation, Vol. 41 No. 2, pp. 221-236. https://doi.org/10.1108/AA-05-2020-0061

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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