A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem

simulation-based optimization approach

Seyed Habib A. Rahmati, Abbas Ahmadi, Kannan Govindan*

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

Resumé

Integrated consideration of production planning and maintenance processes is a real world assumption. Specifically, by improving the monitoring equipment such as various sensors or product-embedded information devices in recent years, joint assessment of these processes is inevitable for enhancing the level of the system optimization. By means of this equipment, managers can benefit from a condition-based maintenance (CBM) for monitoring and managing their system. The chief aim of the paper is to develop a stochastic maintenance problem based on CBM activities engaged with a complex applied production problem called flexible job shop scheduling problem (FJSP). This integrated problem considers two maintenance scenarios in terms of corrective maintenance (CM) and preventive maintenance (PM). The activation of scenario is done by monitoring the degradation condition of the system and comparing the associated value by predetermined PM and CM levels. Moreover, to make it more realistic, the developed problem allows breakdown of the system between inspection intervals. The event time and duration of performing the maintenance activities are also considered stochastic. The developed methodology copes with high stochastic complexity of proposed problem through simulation-based optimization (SBO) approach, which works based on harmony search optimization algorithm. The developed items of SBO are discussed on different generated test problems and assessed through statistical methods and new visualization approach. Numerical example shows that the proposed method is practical for proposed integrated CBM and FJSP problem. It also offers a basis for any implementation of CBM on production problems.

OriginalsprogEngelsk
TidsskriftAnnals of Operations Research
Vol/bind269
Udgave nummer1-2
Sider (fra-til)583-621
ISSN0254-5330
DOI
StatusUdgivet - 1. okt. 2018
BegivenhedInternational Conference on Recent Advances in Optimization Theory and Applications - University of Delhi, Delhi, Indien
Varighed: 30. jan. 201631. jan. 2016

Konference

KonferenceInternational Conference on Recent Advances in Optimization Theory and Applications
LokationUniversity of Delhi
LandIndien
ByDelhi
Periode30/01/201631/01/2016

Fingeraftryk

Condition-based maintenance
Integrated
Simulation
Job shop scheduling
Monitoring
Scenarios
Preventive maintenance
Corrective maintenance
Production planning
Breakdown
Sensor
Visualization
Harmony
Managers
Activation
Methodology
Inspection
Statistical methods
Degradation

Citer dette

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A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem : simulation-based optimization approach. / Rahmati, Seyed Habib A.; Ahmadi, Abbas; Govindan, Kannan.

I: Annals of Operations Research, Bind 269, Nr. 1-2, 01.10.2018, s. 583-621.

Publikation: Bidrag til tidsskriftKonferenceartikelForskningpeer review

TY - GEN

T1 - A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem

T2 - simulation-based optimization approach

AU - Rahmati, Seyed Habib A.

AU - Ahmadi, Abbas

AU - Govindan, Kannan

PY - 2018/10/1

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N2 - Integrated consideration of production planning and maintenance processes is a real world assumption. Specifically, by improving the monitoring equipment such as various sensors or product-embedded information devices in recent years, joint assessment of these processes is inevitable for enhancing the level of the system optimization. By means of this equipment, managers can benefit from a condition-based maintenance (CBM) for monitoring and managing their system. The chief aim of the paper is to develop a stochastic maintenance problem based on CBM activities engaged with a complex applied production problem called flexible job shop scheduling problem (FJSP). This integrated problem considers two maintenance scenarios in terms of corrective maintenance (CM) and preventive maintenance (PM). The activation of scenario is done by monitoring the degradation condition of the system and comparing the associated value by predetermined PM and CM levels. Moreover, to make it more realistic, the developed problem allows breakdown of the system between inspection intervals. The event time and duration of performing the maintenance activities are also considered stochastic. The developed methodology copes with high stochastic complexity of proposed problem through simulation-based optimization (SBO) approach, which works based on harmony search optimization algorithm. The developed items of SBO are discussed on different generated test problems and assessed through statistical methods and new visualization approach. Numerical example shows that the proposed method is practical for proposed integrated CBM and FJSP problem. It also offers a basis for any implementation of CBM on production problems.

AB - Integrated consideration of production planning and maintenance processes is a real world assumption. Specifically, by improving the monitoring equipment such as various sensors or product-embedded information devices in recent years, joint assessment of these processes is inevitable for enhancing the level of the system optimization. By means of this equipment, managers can benefit from a condition-based maintenance (CBM) for monitoring and managing their system. The chief aim of the paper is to develop a stochastic maintenance problem based on CBM activities engaged with a complex applied production problem called flexible job shop scheduling problem (FJSP). This integrated problem considers two maintenance scenarios in terms of corrective maintenance (CM) and preventive maintenance (PM). The activation of scenario is done by monitoring the degradation condition of the system and comparing the associated value by predetermined PM and CM levels. Moreover, to make it more realistic, the developed problem allows breakdown of the system between inspection intervals. The event time and duration of performing the maintenance activities are also considered stochastic. The developed methodology copes with high stochastic complexity of proposed problem through simulation-based optimization (SBO) approach, which works based on harmony search optimization algorithm. The developed items of SBO are discussed on different generated test problems and assessed through statistical methods and new visualization approach. Numerical example shows that the proposed method is practical for proposed integrated CBM and FJSP problem. It also offers a basis for any implementation of CBM on production problems.

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