Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints

Dorsaf Aribi, Olfa Belkahla Driss, Hind El Haouzi

2023

Abstract

A massive number of studies has tackled the scheduling problem, but they mainly seek to solve the classic problem by reducing the real constraints of the environment like workers’ fatigue, which may lead to defective production, and the occurrence of unexpected events that makes the initial scheduling obsolete. In this paper, we study the multi-objective dynamic flexible job shop-scheduling problem under workers’ fatigue constraints (DFJSP-WF) through three unexpected events: job insertion, machine breakdown and job cancellation. First, a multi-objective model is established with objectives to minimize makespan and total weighted tardiness, earliness and rejected parts due to workers’ errors, which depend on workers’ fatigue. Second, to deal with this model, a non-dominated sorting genetic algorithm II (NSGA-II) is adapted. Computational results are presented using three sets of well-known benchmark literature instances.

Paper Citation

in Harvard Style

Aribi D., Belkahla Driss O. and El Haouzi H. (2023). Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 301-308. DOI: 10.5220/0011663800003393

in Bibtex Style

@conference{icaart23,
author={Dorsaf Aribi and Olfa Belkahla Driss and Hind El Haouzi},
title={Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={301-308},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011663800003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Multi-Objective Optimization of the Dynamic and Flexible Job Shop Scheduling Problem Under Workers Fatigue Constraints
SN - 978-989-758-623-1
AU - Aribi D.
AU - Belkahla Driss O.
AU - El Haouzi H.
PY - 2023
SP - 301
EP - 308
DO - 10.5220/0011663800003393