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dc.contributor.authorGbededo, Mijoh Ayodele
dc.contributor.authorLiyanage, Kapila
dc.contributor.authorOraifige, Ilias
dc.date.accessioned2016-10-10T13:30:41Z
dc.date.available2016-10-10T13:30:41Z
dc.date.issued2016-07-21
dc.identifier.citationGbededo, M. A. et al (2016) 'Simulation aided life cycle sustainability assessment framework for manufacturing design and management', International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 10 (7), 1172-1178.en
dc.identifier.urihttp://hdl.handle.net/10545/620536
dc.description.abstractDecision making for sustainable manufacturing design and management requires critical considerations due to the complexity and partly conflicting issues of economic, social and environmental factors. Although there are tools capable of assessing the combination of one or two of the sustainability factors, the frameworks have not adequately integrated all the three factors. Case study and review of existing simulation applications also shows the approach lacks integration of the sustainability factors. In this paper we discussed the development of a simulation based framework for support of a holistic assessment of sustainable manufacturing design and management. To achieve this, a strategic approach is introduced to investigate the strengths and weaknesses of the existing decision supporting tools. Investigation reveals that Discrete Event Simulation (DES) can serve as a rock base for other Life Cycle Analysis frameworks. Simio-DES application optimizes systems for both economic and competitive advantage, Granta CES EduPack and SimaPro collate data for Material Flow Analysis and environmental Life Cycle Assessment, while social and stakeholders’ analysis is supported by Analytical Hierarchy Process, a Multi-Criteria Decision Analysis method. Such a common and integrated framework creates a platform for companies to build a computer simulation model of a real system and assess the impact of alternative solutions before implementing a chosen solution.
dc.language.isoenen
dc.publisherWorld Academy of Science, Engineering and Technologyen
dc.relation.urlhttps://waset.org/Publication/simulation-aided-life-cycle-sustainability-assessment-framework-for-manufacturing-design-and-management/10004783en
dc.subjectDiscrete event simulationen
dc.subjectLife cycle sustainabilityen
dc.subjectManufacturingen
dc.subjectSustainabilityen
dc.titleSimulation aided life cycle sustainability assessment framework for manufacturing design and managementen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalInternational Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineeringen
refterms.dateFOA2019-02-28T14:38:14Z
html.description.abstractDecision making for sustainable manufacturing design and management requires critical considerations due to the complexity and partly conflicting issues of economic, social and environmental factors. Although there are tools capable of assessing the combination of one or two of the sustainability factors, the frameworks have not adequately integrated all the three factors. Case study and review of existing simulation applications also shows the approach lacks integration of the sustainability factors. In this paper we discussed the development of a simulation based framework for support of a holistic assessment of sustainable manufacturing design and management. To achieve this, a strategic approach is introduced to investigate the strengths and weaknesses of the existing decision supporting tools. Investigation reveals that Discrete Event Simulation (DES) can serve as a rock base for other Life Cycle Analysis frameworks. Simio-DES application optimizes systems for both economic and competitive advantage, Granta CES EduPack and SimaPro collate data for Material Flow Analysis and environmental Life Cycle Assessment, while social and stakeholders’ analysis is supported by Analytical Hierarchy Process, a Multi-Criteria Decision Analysis method. Such a common and integrated framework creates a platform for companies to build a computer simulation model of a real system and assess the impact of alternative solutions before implementing a chosen solution.


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