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dc.contributor.authorShibin, KT
dc.contributor.authorGunasekaran, A
dc.contributor.authorPapadopoulos, T
dc.contributor.authorChilde, Stephen J
dc.contributor.authorDubey, R
dc.contributor.authorSingh, T
dc.date.accessioned2016-03-22T22:09:32Z
dc.date.accessioned2016-10-03T10:33:40Z
dc.date.available2016-03-22T22:09:32Z
dc.date.available2016-10-03T10:33:40Z
dc.date.issued2016-02-04
dc.identifier.issn0268-3768
dc.identifier.issn1433-3015
dc.identifier.urihttp://hdl.handle.net/10026.1/5546
dc.description.abstract

In recent years, energy sustainability has attracted increasing attention from scholars, policy makers, and practitioners. However, in practical competitiveness, companies also have to maintain flexibility to deliver customer requirements. Existing theory has largely seen flexibility and sustainability as separate issues, ignoring their relationship. To address this gap, we attempt to explore energy sustainability using flexible operations management practices in India. Following a case research methodology, we investigate how flexible operations management practices embraced by a leading organization that minimizes energy consumption in plants with better resource utilization and better quality of work life for staff to meet the future requirements based on market forecast. We solve a real-time multi-criteria strategic capacity planning problem with multiple objectives such as throughput maximization, waste minimization, and resource utilization maximization by using discrete event simulation technique. Our data stems from ongoing research within a car manufacturing company in India, located at Pune. Shift timings, setup time, production batch size, and differential rated capacities of plants are considered as the variables in this study. However, optimal routing flexibility combined with volume flexibility helps to achieve significant reduction in energy consumption. Finally, we offer future research questions on flexible operations management practices.

dc.format.extent2873-2884
dc.languageen
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.relation.replaceshttp://hdl.handle.net/10026.1/4392
dc.relation.replaces10026.1/4392
dc.subjectFlexible operations management
dc.subjectSustainable operations management
dc.subjectEnergy sustainability
dc.subjectOptimization
dc.subjectDiscrete event simulation
dc.subjectGenetic algorithm
dc.titleEnergy sustainability in operations: an optimization study
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000385072400045&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue9-12
plymouth.volume86
plymouth.publication-statusAccepted
plymouth.journalThe International Journal of Advanced Manufacturing Technology
dc.identifier.doi10.1007/s00170-016-8398-6
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2016-01-01
dc.identifier.eissn1433-3015
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1007/s00170-016-8398-6
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2016-02-04
rioxxterms.typeJournal Article/Review


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