Hybrid Methods to Solve the Two-Stage Robust Flexible Job-Shop Scheduling Problem with Budgeted Uncertainty

Carla Juvin, Laurent Houssin, Laurent Houssin, Pierre Lopez

2023

Abstract

This paper addresses the robust flexible job-shop scheduling problem considering uncertain operation processing times associated with an uncertainty budget. Exact solution methods based on mixed integer linear programming and constraint programming are proposed to solve the problem. Such solutions are hybridized in the framework of a two-stage robust optimization, and a column and constraint generation algorithm is used to solve representative instances. The experimental results show the advantages of a two-stage approach where constraint programming and integer programming are mixed to solve a master problem and a subproblem, respectively.

Paper Citation

in Harvard Style

Juvin C., Houssin L. and Lopez P. (2023). Hybrid Methods to Solve the Two-Stage Robust Flexible Job-Shop Scheduling Problem with Budgeted Uncertainty. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-627-9, pages 135-142. DOI: 10.5220/0011619700003396

in Bibtex Style

@conference{icores23,
author={Carla Juvin and Laurent Houssin and Pierre Lopez},
title={Hybrid Methods to Solve the Two-Stage Robust Flexible Job-Shop Scheduling Problem with Budgeted Uncertainty},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2023},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011619700003396},
isbn={978-989-758-627-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Hybrid Methods to Solve the Two-Stage Robust Flexible Job-Shop Scheduling Problem with Budgeted Uncertainty
SN - 978-989-758-627-9
AU - Juvin C.
AU - Houssin L.
AU - Lopez P.
PY - 2023
SP - 135
EP - 142
DO - 10.5220/0011619700003396