Title: Integrating non-cyclical preventive maintenance scheduling and production planning for a series-parallel production line with stochastic dependence

Authors: Ziyad Bahou; Issam Krimi; Abdessamad Ait El Cadi; Nizar El Hachemi

Addresses: Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat, Morocco ' College of Engineering, Abu Dhabi University, Abu Dhabi, UAE ' Université Polytechnique Hauts-de-France, LAMIH, CNRS, UMR 8201, INSA Hauts-de-France, F-59313 Valenciennes, France ' Université Mohammed V de Rabat, B.P. 8007 N.U., Rabat, Morocco; Africa Business School, Université Mohammed VI Polytechnique, Ben Guerir, Morocco

Abstract: This paper investigates the integrated non-cyclical preventive maintenance scheduling and production planning for a series-parallel production line. We consider the stochastic dependence between the components of each subsystem. This problem has not been studied so far in the literature even though it represents a realistic configuration. First, we compute the available production capacity restricted by the stochastic dependence. Then, an integer linear program is used to determine the optimal production plan and preventive maintenance schedule. The results show that ignoring the stochastic dependence effect causes many unexpected consequences and additional production and maintenance costs. This work provides practitioners with a set of managerial insights to develop adequate integrated production and maintenance policies.

Keywords: production planning; maintenance scheduling; integer programming; series-parallel production; stochastic dependence.

DOI: 10.1504/IJISE.2024.139559

International Journal of Industrial and Systems Engineering, 2024 Vol.47 No.3, pp.354 - 381

Received: 14 Jun 2022
Accepted: 24 Dec 2022
Published online: 04 Jul 2024 *

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