Joint modified block replacement and production/inventory control policy for a failure-prone manufacturing cell

Berthaut, F., Gharbi, Ali and Dhouib, K.. 2011. « Joint modified block replacement and production/inventory control policy for a failure-prone manufacturing cell ». Omega, vol. 39, nº 6. pp. 642-654.
Compte des citations dans Scopus : 43.

Preview

PDF Joint-Modified-Block-Replacement-and-Production-Inventory-Control-Policy-for-a-Failure-Prone-Manufacturing-Cell.pdf Download (429kB) | Preview

Abstract

This paper considers a joint preventive maintenance (PM) and production/inventory control policy of an unreliable single machine, mono-product manufacturing cell with stochastic non-negligible corrective and preventive delays. The production/inventory control policy, which is based on the Hedging Point Policy (HPP), consists in building and maintaining a safety stock of finished products in order to respond to demand and to avoid shortages during maintenance actions. Without considering the impact of preventive and corrective actions on the overall performance of the production system, most authors working in the reliability and maintainability domains confirm that the age-based preventive maintenance policy (ARP) outperforms the classical blockreplacement policy (BRP). In order to reduce wastage incurred by the classical BRP, we consider a modified block replacement policy (MBRP), which consists in cancelling a preventive maintenance action if the time elapsed since the last maintenance action exceeds a specified time threshold. The main objective of this paper is to determine the joint optimal policy that minimizes the overall cost, which is composed of corrective and preventive maintenance costs as well as inventory holding and backlog costs. A simulation model mimicking the dynamic and stochastic behaviour of the manufacturing cell, based on more realistic considerations of the real behaviour of industrial manufacturing cells, is proposed. Based on simulation results, the joint optimal MBRP/HPP parameters are obtained through a numerical approach that combines design of experiment, analysis of variance and response surface methodologies. The joint optimal MBRP/HPP policy is compared to classical joint ARP/HPP and BRP/HPP optimal policies, and the results show that the proposed MBRP/HPP outperforms the latter. Sensitivity analyses are also carried out in order to confirm the superiority of the proposed MBRP/HPP, and it is observed that for practitioners, the proposed joint MBRP/HPP offers not only cost savings, but is also easy to manage, as compared to the ARP/HPP policy.

Item Type:	Peer reviewed article published in a journal
Professor:	Professor Gharbi, Ali
Affiliation:	Génie de la production automatisée
Date Deposited:	19 Feb 2013 16:25
Last Modified:	08 Sep 2024 20:15
URI:	https://espace2.etsmtl.ca/id/eprint/3417

Actions (login required)

View Item