Title: Facility maintenance scheduling for organisations with a multi-location structure: optimisation model and hybrid metaheuristic approach

Authors: Javad Gholami; Ahmad Razavi; Hadi Gholami; Alireza Moini

Addresses: School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran ' Department of Industrial Engineering, Islamic Azad University, Tehran, Iran ' Department of Computer Engineering, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran ' School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Abstract: In comparison to centralised organisations with a single location structure, multi-location organisations face more challenges in the management of maintenance scheduling. In this paper, we present a new mathematical model to solve the maintenance scheduling problem for a multi-location facility, then we develop a hybrid metaheuristic algorithm combining the genetic algorithm (GA) and particle swarm optimisations (PSO) mechanisms, called GA-PSO. Employing the introduced model and the proposed solution approach, any multi-location organisation may be able to determine the best or near to optimal maintenance scheduling. The proposed model considers different work skills required for the maintenance scheduling and also the possibility of outsourcing the maintenance tasks. To demonstrate the applicability of the proposed model and algorithm, numerical analysis is employed. Numerical experiments indicate the accuracy and computational efficiency of the proposed solution approach.

Keywords: facility management; maintenance scheduling; genetic algorithm; particle swarm optimisations; cost.

DOI: 10.1504/IJISE.2023.130962

International Journal of Industrial and Systems Engineering, 2023 Vol.44 No.1, pp.96 - 117

Received: 10 Dec 2020
Accepted: 28 Jun 2021
Published online: 14 May 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article