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Conference Paper: Integrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance

TitleIntegrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance
Authors
KeywordsHeavy duty equipment maintenance
Integrated planning
Disassemblyassembly
Issue Date2020
PublisherElsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/727717/description
Citation
53rd CIRP Conference on Manufacturing Systems, Virtual Conference. Chicago, IL, USA, 1-3 July 2020. In Procedia CIRP, 2020, v. 93, p. 995-1000 How to Cite?
AbstractThis paper investigates a multi-period integrated decision-making model for the heavy duty equipment maintenance involving disassembly, inspection and assembly with uncertain numbers of replaced parts within a time horizon. There are large numbers of subways cars exported from other countries and the maintenance is difficult to be conducted in Hong Kong (HK) due to the limited spaces, machinery and technical supporting team. Thus, the efficient maintenance planning is required to ensure the quality of transportation services. To resolve the problem, a deterministic mixed integer optimization model is developed to achieve integrated optimization of disassembly and assembly. The model minimizes the total operation cost consisting of purchasing cost and repair cost, subject to capacity constraints. A real-life case study from Mass Transit Railway (MTR) Hong Kong is presented to verify the proposed model.
Persistent Identifierhttp://hdl.handle.net/10722/288235
ISSN
2023 SCImago Journal Rankings: 0.563

 

DC FieldValueLanguage
dc.contributor.authorKang, K-
dc.contributor.authorZhong, R-
dc.contributor.authorNassehi, A-
dc.date.accessioned2020-10-05T12:09:53Z-
dc.date.available2020-10-05T12:09:53Z-
dc.date.issued2020-
dc.identifier.citation53rd CIRP Conference on Manufacturing Systems, Virtual Conference. Chicago, IL, USA, 1-3 July 2020. In Procedia CIRP, 2020, v. 93, p. 995-1000-
dc.identifier.issn2212-8271-
dc.identifier.urihttp://hdl.handle.net/10722/288235-
dc.description.abstractThis paper investigates a multi-period integrated decision-making model for the heavy duty equipment maintenance involving disassembly, inspection and assembly with uncertain numbers of replaced parts within a time horizon. There are large numbers of subways cars exported from other countries and the maintenance is difficult to be conducted in Hong Kong (HK) due to the limited spaces, machinery and technical supporting team. Thus, the efficient maintenance planning is required to ensure the quality of transportation services. To resolve the problem, a deterministic mixed integer optimization model is developed to achieve integrated optimization of disassembly and assembly. The model minimizes the total operation cost consisting of purchasing cost and repair cost, subject to capacity constraints. A real-life case study from Mass Transit Railway (MTR) Hong Kong is presented to verify the proposed model.-
dc.languageeng-
dc.publisherElsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/727717/description-
dc.relation.ispartofProcedia CIRP-
dc.relation.ispartof53rd CIRP Conference on Manufacturing Systems-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectHeavy duty equipment maintenance-
dc.subjectIntegrated planning-
dc.subjectDisassemblyassembly-
dc.titleIntegrated Disassembly and Assembly Model for Heavy Duty Equipment Maintenance-
dc.typeConference_Paper-
dc.identifier.emailZhong, R: zhongzry@hku.hk-
dc.identifier.authorityZhong, R=rp02116-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.procir.2020.04.086-
dc.identifier.scopuseid_2-s2.0-85092430183-
dc.identifier.hkuros314925-
dc.identifier.volume93-
dc.identifier.spage995-
dc.identifier.epage1000-
dc.publisher.placeNetherlands-
dc.identifier.issnl2212-8271-

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