An exact approach to the integration of non-cyclical preventive maintenance scheduling and production planning for a series-parallel production system

Abdessamad Ait El Cadi, Nizar El Hachemi, Mohamed Anouar Jamali, Abdelhakim Artiba and Louis-Martin Rousseau

International Journal of Operational Research, 2022, vol. 44, issue 3, 401-414

Abstract: In this paper, we generalise a model for integrated non-cyclical preventive maintenance scheduling and production planning from a single machine to a series-parallel production line. As for a single machine, we consider a set of products that must be produced in lots during a given time horizon. The maintenance strategy involves possible preventive replacements at the beginning of each maintenance period and minimal repair at machine failure. The model, an integer linear program, determines the optimal production plan and preventive replacement for each machine of the production line. The objective is to minimise the total cost (preventive and corrective maintenance costs, setup costs, holding costs, backorder costs, and production costs) while meeting the demand for each product over the horizon. We performed experiments using CPLEX 12.5.1, and almost all instances were solved within five minutes with a reasonable gap.

Keywords: production planning; preventive maintenance; series-parallel production line; integer linear program; CPLEX. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=124104 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:44:y:2022:i:3:p:401-414

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().