Discrepancy Search for the Flexible Job Shop Scheduling Problem

Abir Ben Hmida (1) , Mohamed Haouari (2) , Marie-José Huguet (1) , Pierre Lopez (1)

1 LAAS-MOGISA
2 ROI - Unité Recherche Opérationnelle pour l'Industrie

The Flexible Job Shop scheduling Problem (FJSP) is a generalization of the classical Job Shop Problem in which each operation must be processed on a given machine chosen among a finite subset of candidate machines. The aim is to find an allocation for each operation and to define the sequence of operations on each machine so that the resulting schedule has a minimal completion time. We propose a variant of the Climbing Discrepancy Search approach for solving this problem. We also present various neighborhood structures related to assignment and sequencing problems. We report the results of extensive computational experiments carried out on well-known benchmarks for flexible job shop scheduling. The results demonstrate that the proposed approach outperforms the best-known algorithms for the FJSP on some types of benchmarks and remains comparable with them on other ones.

Mots clés: Scheduling; Allocation; Flexible Job Shop; Discrepancy Search; Neighborhood structures

Domaines: Recherche opérationnelle [math.OC]

Abir Ben Hmida, Mohamed Haouari, Marie-José Huguet, Pierre Lopez. Discrepancy Search for the Flexible Job Shop Scheduling Problem. Computers and Operations Research, 2010, 37 (12), p. 2192-2201. ⟨hal-00461981⟩