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Authors: Alp Darendeliler 1 ; Dieter Claeys 1 ; 2 ; Abdelhakim Khatab 3 and El-Houssaine Aghezzaf 1 ; 2

Affiliations: 1 Department of Industrial Engineering and Product Design, Ghent University, Gent, Belgium ; 2 Industrial Systems Engineering (ISyE), Flanders Make, Belgium ; 3 Laboratory of Industrial Engineering, Production and Maintenance, Lorraine University, Metz, France

Keyword(s): Condition-based Maintenance, Lot-sizing, Stochastic Dynamic Programming.

Abstract: This study investigates the dynamic lot-sizing problem integrated with Condition-based maintenance (CBM) for a stochastically deteriorating production system. The main difference of this work and the previous literature on the joint optimization of lot-sizing and CBM is the relaxation of the constant demand assumption. In addition, the influence of the lot-size quantity on the evolution of the equipment degradation is considered. To optimally integrate production and maintenance, a stochastic dynamic programming model is developed that optimizes the total expected production and maintenance cost including production setup cost, inventory holding cost, lost sales cost, preventive maintenance cost and corrective maintenance cost. The algorithm is run on a set of instances and the results show that the joint optimization model provides considerable cost savings compared to the separate optimization of lot-sizing and CBM.

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Paper citation in several formats:
Darendeliler, A.; Claeys, D.; Khatab, A. and Aghezzaf, E. (2020). Joint Optimization of Dynamic Lot-sizing and Condition-based Maintenance. In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-396-4; ISSN 2184-4372, SciTePress, pages 151-158. DOI: 10.5220/0008941601510158

@conference{icores20,
author={Alp Darendeliler. and Dieter Claeys. and Abdelhakim Khatab. and El{-}Houssaine Aghezzaf.},
title={Joint Optimization of Dynamic Lot-sizing and Condition-based Maintenance},
booktitle={Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2020},
pages={151-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008941601510158},
isbn={978-989-758-396-4},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Joint Optimization of Dynamic Lot-sizing and Condition-based Maintenance
SN - 978-989-758-396-4
IS - 2184-4372
AU - Darendeliler, A.
AU - Claeys, D.
AU - Khatab, A.
AU - Aghezzaf, E.
PY - 2020
SP - 151
EP - 158
DO - 10.5220/0008941601510158
PB - SciTePress

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