An integrated production and preventive maintenance planning model

Aghezzaf, El‐Houssaine; Jamali, Mohamed Anouar; Ait-Kadi, Daoud

doi:10.1016/j.ejor.2006.06.032

Cited by 171 publications

(86 citation statements)

References 13 publications

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“…Weinstein and Chung [22] studied the integration of production and maintenance decisions in a hierarchical planning environment, and evaluated an organization's maintenance policy using a three-part model, where an aggregate planning model was described using a mixed-integer linear programming in stage one, a master production scheduling model was proposed to minimize the weighted deviations from the goals given at the aggregate level in stage two, and the master production schedule and the maintenance plan were simulated in stage three, which is the only stage studying the system failures. Their work was further researched by Aghezzaf et al [1], which considered the reliability parameters of the production system at the early stage of the planning process, and developed a multi-item capacitated lot-sizing problem based on a system that was subjected to random failures, to minimize the expected total costs of production and maintenance. This work was extended by Aghezzaf and Najid [2], which discussed the issue of integrating production planning and PM in a production system composed of parallel failure-prone production lines.…”

Section: Assumptionsmentioning

confidence: 99%

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An integrated production and delay-time based preventive maintenance planning model for a multi-product production system

Liu

Wang

Peng

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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integrated production and delay-time based preventive maintenance planning model for a multi-product production system. eksploatacja i niezawodnosc - Maintenance and Reliability 2015; 17 (2): 215-221, http://dx.doi.org/10.17531/ein.2015.2.7. customer orders and tactical planning. In this paper, our focus is on the medium-term tactical production planning, since at this level the production quantities or lot sizing should be determined, and the preventive maintenance (PM) decisions should be scheduled. Throughout this paper, we will use the term 'production planning' instead of 'tactical production planning', for simplicity.Production and maintenance departments are usually located separately in modern companies. The production department has to make production planning based on the maximum production capacity, and to satisfy customers' demands, whereas the maintenance department has to ensure the proper functioning of the production system through maintenance actions. Conflict is inevitably generated since the two departments share the same system. If the production department ignores the occupation of maintenance time, or just considers it subjectively or empirically, the system may experience idle time, production delays and even shortages. On the other hand, if the maintenance department schedules the maintenance without considering the produc- Xuejuan Liu Wenbin WAng Rui PengAn integrAted production And delAy-time bAsed preventive mAintenAnce plAnning model for A multi-product production system model integrujący plAnowAnie opArtej nA pojęciu czAsu opóźnieniA konserwAcji zApobiegAwczej orAz plAnowAnie produkcji dlA systemów produkcji wieloAsortymentowej

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Section: Assumptionsmentioning

confidence: 99%

“…The defects of the system arrive independently according to (1) an HPP. The delay-time of all defects is independent and identically (2) distributed.…”

Section: Assumptionsmentioning

confidence: 99%

An integrated production and delay-time based preventive maintenance planning model for a multi-product production system

Liu

Wang

Peng

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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“…One of the two papers that are most closely related to the problem treated in this paper has been presented by Aghezzaf et al (2007) who study different versions of dynamic lotsizing models in which the objective function is augmented by a term dealing with the cost of preventive and corrective maintenance based on a probabilistic failure rate function for the case of cyclic preventive maintenance activities. The other closely related paper was presented by Jacobs et al (2009).…”

Section: Review Of the Literaturementioning

confidence: 99%

Simultaneous production and maintenance planning for a single capacitated resource facing both a dynamic demand and intensive wear and tear

Wolter

Helber

2015

Cent Eur J Oper Res

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Suggested Citation: Wolter, Anja; Helber, Stefan (2013) : Simultaneous production and maintenance planning for a single capacitated resource facing both a dynamic demand and intensive wear and tear, Discussion AbstractThis paper presents a generic modeling framework to simultaneously decide about production quantities and maintenance operations for a capacitated resource facing a dynamic demand for different types of products. As the resource needs to be setup for each specific type of product, a lot-sizing problem occurs. In addition it is assumed that production causes intensive wear and tear. For this reason frequent maintenance activities need to be coordinated with the production operations in order to efficiently use the capacitated resource. A single generic model is presented to capture alternative forms of maintenance and different modes of interaction between maintenance and setups. As the model is numerically intractable for standard branch & bound algorithms, we solve it heuristically via a decomposition using a Fix-and-Optimize approach. Numerical results show that the proposed solution method produces high-quality results quickly. We further study the impact of simultaneous vs. sequential decisions about production and maintenance in the case of intensive wear and tear.

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“…Researchers have also proposed strategies and developed models to integrate the production and maintenance planning decisions both at the tactical as well as at the operational levels. Various mathematical models focusing on coordinating production and maintenance plans are proposed in (Lin et al, 1992;Gurevich et al, 1996;Agogino et al, 1997;Ben-Daya and Rahim, 2000;El-Amin et al, 2000;Kiyoshi et al, 2002;Chattopadhyay, 2004;Martorell et al, 2005;Aghezzaf et al, 2007;Dahal and Chakpitak, 2007;El-Ferik, 2008;Fitouhi and Nourelfath, 2012;Wang, 2013). A wide variety of solution techniques and algorithms including the whole spectrum of heuristic techniques, dynamic programming, tabusearch multi-objective optimization, expert systems and many other hybrid techniques are also proposed, see for example (Lin et al, 1992;Gurevich et al, 1996;Agogino et al, 1997;Ben-Daya and Rahim, 2000;Kiyoshi et al, 2002;Chattopadhyay, 2004;Martorell et al, 2005;Dahal and Chakpitak, 2007).…”

Section: Introductionmentioning

confidence: 99%

Integrated Production and Imperfect Preventive Maintenance Planning - An Effective MILP-based Relax-and-Fix/Fix-and-Optimize Method

Tam

Aghezzaf

Khatab³

et al. 2017

Proceedings of the 6th International Conference on Operations Research and Enterprise Systems

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Abstract:This paper investigates the integrated production and imperfect preventive maintenance planning problem. The main objective is to determine an optimal combined production and maintenance strategy that concurrently minimizes production as well as maintenance costs during a given finite planning horizon. To enhance the quality of the solution and improve the computational time, we reconsider the reformulation of the problem proposed in (Aghezzaf et al., 2016) and then solved it with an effective MILP-based Relax-and-Fix/Fix-andOptimize method (RFFO). The results of this Relax-and-Fix/Fix-and-Optimize technique were also compared to those obtained by a Dantzig-Wolfe Decomposition (DWD) technique applied to this same reformulation of the problem. The results of this analysis show that the RFFO technique provides quite good solutions to the test problems with a noticeable improvement in computational time. DWD on the other hand exhibits a good improvement in terms of computational times, however, the quality of the solution still requires some more improvements.

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An integrated production and preventive maintenance planning model

Cited by 171 publications

References 13 publications

An integrated production and delay-time based preventive maintenance planning model for a multi-product production system

An integrated production and delay-time based preventive maintenance planning model for a multi-product production system

Simultaneous production and maintenance planning for a single capacitated resource facing both a dynamic demand and intensive wear and tear

Integrated Production and Imperfect Preventive Maintenance Planning - An Effective MILP-based Relax-and-Fix/Fix-and-Optimize Method

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