DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kiwook Jung | - |
dc.contributor.author | Morris, K.C | - |
dc.contributor.author | Kevin W. Lyons | - |
dc.contributor.author | Swee Leong | - |
dc.contributor.author | Cho, H. | - |
dc.date.accessioned | 2017-07-19T12:21:15Z | - |
dc.date.available | 2017-07-19T12:21:15Z | - |
dc.date.created | 2015-09-08 | - |
dc.date.issued | 2015-09 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/35698 | - |
dc.description.abstract | The complexity of the relationship of strategic goals to operational performance across the many levels of a manufacturing system inhibits the realization of Smart Manufacturing Systems (SMS). This paper proposes a method for identifying what aspects of a manufacturing system should be addressed to respond to changing strategic goals. The method uses standard techniques in specifying a manufacturing system and the relationship between strategic goals and operational performance metrics. Two existing reference models related to manufacturing operations are represented formally and integrated to support the proposed method. The method is illustrated for a single scenario using agility as a strategic goal. By replicating the proposed method for other strategic goals and with multiple scenarios, a comprehensive set of performance challenges can be identified. (C) 2015 The Authors. Published by Elsevier B.V. | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.relation.isPartOf | Procedia Computer Science | - |
dc.title | Mapping Strategic Goals and Operational Performance Metrics for Smart Manufacturing Systems | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/J.PROCS.2015.03.051 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Procedia Computer Science, v.44, no.C, pp.184 - 193 | - |
dc.identifier.wosid | 000360836300019 | - |
dc.date.tcdate | 2019-03-01 | - |
dc.citation.endPage | 193 | - |
dc.citation.number | C | - |
dc.citation.startPage | 184 | - |
dc.citation.title | Procedia Computer Science | - |
dc.citation.volume | 44 | - |
dc.contributor.affiliatedAuthor | Cho, H. | - |
dc.identifier.scopusid | 2-s2.0-84929895880 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 12 | - |
dc.description.scptc | 15 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.description.isOpenAccess | Y | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | Smart Manufacturing System | - |
dc.subject.keywordAuthor | formal methods | - |
dc.subject.keywordAuthor | agility | - |
dc.subject.keywordAuthor | SCOR | - |
dc.subject.keywordAuthor | SIMA | - |
dc.subject.keywordAuthor | OWL | - |
dc.subject.keywordAuthor | IDEF0 | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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