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T.-L. Lin, S.-J. Horng, T.-W. Kao, Y.-H. Chen, R.-S. Run, R.-J. Chen, et al., “An efficient job-shop scheduling algorithm based on particle swarm optimization,” Expert Systems with Applications, vol. 37, pp. 2629-2636, 2010.

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Article

Multi-objective Job Shop Scheduling under Risk Using GA

1Department of Industrial Engineering, Engineering College at Alqunfudah, Umm Al-Qura University, Saudi Arabia


American Journal of Industrial Engineering. 2019, Vol. 6 No. 1, 1-12
DOI: 10.12691/ajie-6-1-1
Copyright © 2019 Science and Education Publishing

Cite this paper:
Jaber S. Alzahrani. Multi-objective Job Shop Scheduling under Risk Using GA. American Journal of Industrial Engineering. 2019; 6(1):1-12. doi: 10.12691/ajie-6-1-1.

Correspondence to: Jaber  S. Alzahrani, Department of Industrial Engineering, Engineering College at Alqunfudah, Umm Al-Qura University, Saudi Arabia. Email: jszahrani@uqu.edu.sa

Abstract

In this study, a multi-objective job-shop scheduling model is developed to optimize makespan, maximum job tardiness and maximum and idle time of machines under risk. The model considers multi-jobs and multi-machines. Each task has a specific due date and random processing times of specific probability distribution. The model is solved using @RiskOptimizer.

Keywords