Joint Multi-Item Production and Condition-Based Maintenance Control of a System with Setup Times and Stochastic Demand

Alp Darendeliler, Dieter Claeys, Dieter Claeys, El-Houssaine Aghezzaf, El-Houssaine Aghezzaf

2023

Abstract

In this paper, we address the joint production and Condition-based maintenance (CBM) planning problem for a deteriorating single-machine multi-product manufacturing system with uncertain product demands. The objective is to find an integrated production and maintenance policy such that the sum of expected setup, holding, lost sales, preventive and corrective maintenance costs is minimized. We formulate the problem as a semi-Markov decision process and propose a Q-learning algorithm for the problem. A numerical example is provided to illustrate the solution method.

Paper Citation

in Harvard Style

Darendeliler A., Claeys D. and Aghezzaf E. (2023). Joint Multi-Item Production and Condition-Based Maintenance Control of a System with Setup Times and Stochastic Demand. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-627-9, pages 185-192. DOI: 10.5220/0011741300003396

in Bibtex Style

@conference{icores23,
author={Alp Darendeliler and Dieter Claeys and El-Houssaine Aghezzaf},
title={Joint Multi-Item Production and Condition-Based Maintenance Control of a System with Setup Times and Stochastic Demand},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2023},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011741300003396},
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 - Joint Multi-Item Production and Condition-Based Maintenance Control of a System with Setup Times and Stochastic Demand
SN - 978-989-758-627-9
AU - Darendeliler A.
AU - Claeys D.
AU - Aghezzaf E.
PY - 2023
SP - 185
EP - 192
DO - 10.5220/0011741300003396