A variable neighbourhood search for integrated production and preventive maintenance planning in multi-state systems

Machani, Mahdi; Nourelfath, Mustapha

doi:10.1080/00207543.2012.671587

Cited by 19 publications

(8 citation statements)

References 17 publications

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“…In order to find an optimal integrated lot-sizing and preventive maintenance strategy for a multi-state system with production and maintenance costs and demand constraints, Machani and Nourelfath (2012) proposed a variable neighborhood search as a solution method. Nourelfath and Chatelet (2012) also dealt with the integrated problem at a tactical level in which products must be produced in lots during a finite planning horizon with demand requirements.…”

Section: Multi-machine Modelsmentioning

confidence: 99%

A Multi-Objective Modeling Approach for Integrated Manufacturing and Preventive Maintenance Planning

Moghaddam

2020

OSCM: An Int. Journal

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Section: Multi-machine Modelsmentioning

confidence: 99%

A Multi-Objective Modeling Approach for Integrated Manufacturing and Preventive Maintenance Planning

Moghaddam

2020

OSCM: An Int. Journal

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“…Wang et al [90] use GA in a similar problem where condition based maintenance is involved instead of periodic preventive maintenance. Another work on the application of GA on joint planning of maintenance and production is presented by Machani and Nourelafath [91]. Yang et al [92] used GA for finding the optimal maintenance priority assignment.…”

Section: Metaheuristic Approachesmentioning

confidence: 99%

“…A group of studies has been conducted on systems that produces in lots and consider usage or age based preventive maintenance ( [91], [122]- [126]). The objective of this group of studies is to find the optimal economic production quantity (how much to produce if maintenance action is not taken) and preventive maintenance strategy of the system.…”

Section: Simultaneous Schedulingmentioning

confidence: 99%

Joint Maintenance and Production Operations Decision Making in Flexible Manufacturing Systems

Celen

Djurdjanović

2012

ASME 2012 International Manufacturing Science and Engineering Conference

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In highly flexible and integrated manufacturing systems such as those in semiconductor manufacturing, there exist strong dynamic interactions between the equipment condition, operations executed on the equipment and the resulting product quality. These interactions necessitate a methodology that integrates the decisions of maintenance scheduling and production operations. Currently, maintenance and production operations decision-making are two decoupled processes. In this paper we aim to devise an integrated decision making policy for maintenance scheduling and production sequencing with the objective of maximizing an adaptive profit function, while taking into account operation-dependent degradation models and a production target. In order to obtain the optimal decision policy, a metaheuristic method based on the results of discrete-event simulations of the target manufacturing system is used. The new approach is demonstrated in simulations of a generic cluster tool routinely used in semiconductor manufacturing. The results show that jointly making maintenance and production sequencing decisions consistently outperforms the current practice of making these decisions separately.

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“…In this regard, some of the related papers have been reviewed in a chronological order in Table I. For further information about multistate systems and systems with dependent failures, the reader is referred to Moustafa, 7 Zhang and Horigome, 8 Li and Pham, 9 Peng et al, 10 Khatab et al, 11 Machani and Nourelfath, 12 Eryilmaz, 13 Levitin and Lisnianski, 14 Levitin. 15 As it can be seen in Table I, this paper considers studying the reliability of systems with multiple failure modes and time scales.…”

mentioning

confidence: 99%

System Reliability with Multiple Failure Modes and Time Scales

Noorossana

Sabri-Laghaie

2015

Quality & Reliability Eng

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Lifetime of some systems can be measured based on multiple time scales. For instance, the lifetime of an airplane may be affected by its mileage or number of landings. Furthermore, most systems are exposed to competing risks. In this regard, time scales can accelerate the failure mechanism of these systems. In this paper, the behavior of systems is investigated under competing risks and multiple time scales. The time scales follow independent Poisson processes. As it is not straight forward obtaining closed-form relations for the system reliability, we have provided a parametric upper bound. Also, the upper bound can be tightened by considering an error function. The error function can be built by regression on a sample containing real values of system reliability for given time units. Performance of the upper bound is studied in two numerical examples and a case study. Results show that the obtained upper bound is very tight.

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A variable neighbourhood search for integrated production and preventive maintenance planning in multi-state systems

Cited by 19 publications

References 17 publications

A Multi-Objective Modeling Approach for Integrated Manufacturing and Preventive Maintenance Planning

A Multi-Objective Modeling Approach for Integrated Manufacturing and Preventive Maintenance Planning

Joint Maintenance and Production Operations Decision Making in Flexible Manufacturing Systems

System Reliability with Multiple Failure Modes and Time Scales

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