Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14985
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dc.contributor.authorAtthirawong W.
dc.contributor.authorChoomrit N.
dc.date.accessioned2021-04-05T04:32:17Z-
dc.date.available2021-04-05T04:32:17Z-
dc.date.issued2006
dc.identifier.other2-s2.0-84886914534
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/14985-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84886914534&partnerID=40&md5=522ebcca9dda74a104b9be9c71af0aa8
dc.description.abstractThere is a need to adequately analyze the supply chain prior to embarking on the improvement recommendation and implementation. Quick scan is an analytical and systematic tool for conducting a supply chain business diagnostic. The method is relatively quick and efficient for in-depth consideration and synthesis of the overall supply chain in the given time frame. In this paper Quick scan is utilized as a quick check in the white shrimp industry in Thailand, which consists of many parties, i.e. suppliers, farmers, middle men, frozen companies, government offices, and relevant agencies. The anticipated outcome may provide more understanding and further develop generic research models for any changes and improvement in this industry.
dc.subjectDiagnostic methodology
dc.subjectGovernment offices
dc.subjectImprovement recommendations
dc.subjectQuick scan
dc.subjectResearch models
dc.subjectSupply chain analysis
dc.subjectTime frame
dc.subjectWhite shrimps
dc.subjectIndustrial engineering
dc.subjectShellfish
dc.subjectSupply chain management
dc.subjectIndustry
dc.titleBusiness Diagnostic methodology for supply chain analysis
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitation36th International Conference on Computers and Industrial Engineering, ICC and IE 2006. (2006), p.2302-2311
Appears in Collections:Scopus 1983-2021

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