Integrating production, inventory and maintenance planning for a parallel system with dependent components

Nourelfath, Mustapha; Châtelet, Éric

doi:10.1016/j.ress.2012.02.001

Cited by 82 publications

(34 citation statements)

References 26 publications

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“…Najid et al [25] extended the model in [24] to include demand time windows and shortage cost. Nourelfath and Chatelet [26] discussed the same planning problem for a production system composed of a set of parallel components, in the presence of economic dependence and common cause failures. Zhao et al [27] assume order-dependent-failure (ODF) and proposed an iterative method to solve the problem on a single-machine system.…”

Section: A Brief Review Of the Literaturementioning

confidence: 99%

Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems

Aghezzaf

Khatab²,

Tam

2016

Reliability Engineering & System Safety

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Section: A Brief Review Of the Literaturementioning

confidence: 99%

Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems

Aghezzaf

Khatab²,

Tam

2016

Reliability Engineering & System Safety

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“…Nourelfath et al [15] also developed an integrated model for production and PM planning in multi-stage systems, where the preventive maintenance selection task in the integrated planning model is solved using a genetic algorithm. This work was then extended by Nourelfath and Chatelet [14] to a parallel system with dependent components, and a simulated annealing algorithm was developed. These works were well studied about the integrated problem, but some assumptions can be relaxed.…”

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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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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“…Since the probability for inspection renewal is 1 À P(X \ T) n , the expected renewal cycle length of this scenario is For any t 2 (0, T), the probability that the system has failed The expected renewal cycle length is the sum of equations (14) and (15), denoted by E(L 2 ), and is given by The expected cost per unit time is given by…”

Section: The Special Casementioning

confidence: 99%

A delay-time-based inspection model for parallel systems

Liu

Wang

Peng

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part O:

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The delay-time concept has been extensively applied in the field of maintenance, especially for determining the optimal inspection or maintenance interval. It defines a two-stage system failure process: the time from new to an initial defect, known as the normal stage, and the time from this defective point to failure, known as the delay-time stage. Previous works using the delay-time concept have mainly focused on single-component systems and multi-component systems with a series configuration. However, parallel systems also exist in reality, but most existing models for parallel systems use either a single-stage time-to-failure process or a Markov chain to describe the failure mechanism. In this article, we propose a new delay-time-based inspection model for a n-component parallel system and study the optimal inspection interval that minimizes the long-term expected cost per unit time. Two maintenance policies are considered, depending on whether the defective/failed components identified are replaced immediately or not. Numerical examples are presented to show the applicability of the model.

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Integrating production, inventory and maintenance planning for a parallel system with dependent components

Cited by 82 publications

References 26 publications

Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems

Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems

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

A delay-time-based inspection model for parallel systems

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