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Simulation‐based approach to joint production and preventive maintenance scheduling on a failure‐prone machine

Simulation‐based approach to joint production and preventive maintenance scheduling on a... Purpose – The purpose of this study is to propose and model an integrated production‐maintenance strategy for a failure‐prone machine in a just‐in‐time context. Design/methodology/approach – The proposed integrated policy is defined and a simulation model is developed to investigate it. Findings – The paper focuses on finding simultaneously two decision variables: the period ( T ) at which preventive maintenance actions have to be performed; and the sequence of jobs ( S ). These values minimize the maintenance costs (M C ) and the expected total earliness and tardiness costs (ET C ) away from a common due‐date D . Practical implications – The paper attempts to integrate in a single model the two main aspects of any manufacturing and production systems: production and maintenance. It focuses on a stochastic scheduling problem in which n immediately available jobs are to be scheduled jointly with the preventive maintenance. The effect of the period ( T ) and the sequence of job ( S ) on the expected total cost are shown through a numerical example. Originality/value – The paper proposes an integrated model that links production, preventive maintenance and corrective maintenance. It is simultaneously focusing on the period ( T ) at which preventive maintenance actions have to be performed and the sequence of jobs ( S ) to reduce production and maintenance‐related costs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Quality in Maintenance Engineering Emerald Publishing

Simulation‐based approach to joint production and preventive maintenance scheduling on a failure‐prone machine

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References (26)

Publisher
Emerald Publishing
Copyright
Copyright © 2011 Emerald Group Publishing Limited. All rights reserved.
ISSN
1355-2511
DOI
10.1108/13552511111157371
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this study is to propose and model an integrated production‐maintenance strategy for a failure‐prone machine in a just‐in‐time context. Design/methodology/approach – The proposed integrated policy is defined and a simulation model is developed to investigate it. Findings – The paper focuses on finding simultaneously two decision variables: the period ( T ) at which preventive maintenance actions have to be performed; and the sequence of jobs ( S ). These values minimize the maintenance costs (M C ) and the expected total earliness and tardiness costs (ET C ) away from a common due‐date D . Practical implications – The paper attempts to integrate in a single model the two main aspects of any manufacturing and production systems: production and maintenance. It focuses on a stochastic scheduling problem in which n immediately available jobs are to be scheduled jointly with the preventive maintenance. The effect of the period ( T ) and the sequence of job ( S ) on the expected total cost are shown through a numerical example. Originality/value – The paper proposes an integrated model that links production, preventive maintenance and corrective maintenance. It is simultaneously focusing on the period ( T ) at which preventive maintenance actions have to be performed and the sequence of jobs ( S ) to reduce production and maintenance‐related costs.

Journal

Journal of Quality in Maintenance Engineering – Emerald Publishing

Published: Aug 16, 2011

Keywords: Single machine scheduling; Preventive maintenance; Simulation; Production costs

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