Opportunistic policy for optimal preventive maintenance of a multi-component system in continuous operating units

Laggoune, Radouane; Chateauneuf, Alaa; Aı̈ssani, Djamil

doi:10.1016/j.compchemeng.2009.03.003

Cited by 108 publications

(49 citation statements)

References 23 publications

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“…Golmakani and Moakedi [13] were among who developed a maintenance cost optimization model based on periodic inspections for a reparable multicomponent system. Therefore, the main difference between systems with a single component and systems with more than one is that there normally exist some kind of dependence, structure or economic dependence, between them that can be related to the failure mechanism [4,15].…”

Section: Refer To Equipment Bmentioning

confidence: 99%

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Marsaro

Cavalcante

2017

EiN

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Section: Refer To Equipment Bmentioning

confidence: 99%

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Marsaro

Cavalcante

2017

EiN

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“…Laggoune et al [13] is known that if the corrective and preventive maintenance costs for a component i and its failure distribution established, the expected cost per unit time is expressed as the sum of the expected corrective and preventive costs divided by the expected cycle length.…”

Section: Maintenance Model Formulation For Age-based Single Componentmentioning

confidence: 99%

“…It gives precedence to their failure time knowing fully well that once a component fails it leads to the complete shutdown of the system. Equation (3) expresses the system replacement cycle to be [13]:…”

Section: Equivalent Mono-component Approachmentioning

confidence: 99%

Sustainable Maintenance Practices and Skills for Competitive Production System

Adeyeri¹

2017

Skills Development for Sustainable Manufacturing

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Many industries are becoming moribund, while those who are in operatives are producing at low efficiency which are not commensurate to the resources invested. These imbalances and poor performance attest to the fact that the maintenance practices adopted were unskilfully implemented and are not sustainable. Therefore, this chapter discusses the maintenance strategies and skills needed in establishing a sustainable maintenance technology for the manufacturing industries by the formulation of sustainable maintenance framework practices for competitive production systems and translation of the formulated framework to iconic and equation models. The expected outcome showed that maintenance sustainable practices cannot be undermined if production set goals and overall equipment effectiveness are to be achieved. Successful implementation of this instructive methodology will reduce wastages, eliminate machine downtime, increase machines performance with improved functionality of parts thereby providing maximum usability and reusability of parts/components and thus increase the machine optimal functionality and efficiency.

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“…In addition, the production configuration might affect the range of possible maintenance strategies and policies. For instance, we might want to consider opportunistic PM in continuous production where shutdowns can be exploited [29]. Maintenance strategies are generally categorised into Corrective Maintenance (CM), PM or CBM.…”

Section: A Novel Framework For Simulation-based Optimisation Of Maintmentioning

confidence: 99%

A Novel Framework for Simulation-based Optimisation of Maintenance Systems

Alrabghi¹,

Tiwari²

2016

Int. j. simul. model.

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The maintenance function in manufacturing has been gaining growing interest and significance. Simulation based optimisation has a high potential in supporting maintenance managers to make the right decisions in complex maintenance systems. Surveys in maintenance optimisation have repeatedly reported the need of a framework that provides adequate level of details to guide both academics and practitioners in optimising maintenance systems. The purpose of the current study is to address this gap by developing a novel framework that supports decision making for maintenance in manufacturing systems. The framework is developed by synthesising research attempts to optimise maintenance by simulation, examining existing maintenance optimisation frameworks and capturing framework requirements from review papers in the area as well as publications on future maintenance applications. As a result, the framework addresses current issues in maintenance such as complexity, multi-objective optimisation and uncertainty. The framework is represented by a standard flowchart to facilitate its use.

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Opportunistic policy for optimal preventive maintenance of a multi-component system in continuous operating units

Cited by 108 publications

References 23 publications

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Random preventive maintenance policy based on inspection for a multicomponent system using simulation

Sustainable Maintenance Practices and Skills for Competitive Production System

A Novel Framework for Simulation-based Optimisation of Maintenance Systems

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