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Performance analysis of agile supply chain

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dc.contributor.author Routroy, Srikanta
dc.date.accessioned 2023-08-21T05:33:30Z
dc.date.available 2023-08-21T05:33:30Z
dc.date.issued 2015-05
dc.identifier.uri https://www.inderscienceonline.com/doi/abs/10.1504/IJMTM.2015.069255
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11535
dc.description.abstract Agile supply chain (ASC) is considered to be the best alternative to serve difficult markets having uncertain demand, immature and innovative products, ever changing and increasing customer expectations, etc. Continuous performance evaluation is therefore necessary to ensure competitive advantage and business sustainability. Time pressures and difficulty in application to real time situations remain the major reasons for the limited usage of the many available models for measuring agility of ASC. Also, these approaches are not necessary if supply chain managers are only interested to know the agile performance enhancement along certain specified time horizons. Therefore, a methodology is proposed by combining fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to analyse ASC performance along specified time horizons. This proposed approach is applied to an apparel supply chain considering three time horizons and it was observed that there was significant improvement of ASC performance after two years. en_US
dc.language.iso en en_US
dc.publisher Inder Science en_US
dc.subject Mechanical Engineering en_US
dc.subject Agile supply chains en_US
dc.subject ASCs en_US
dc.subject Fuzzy AHP en_US
dc.subject Supply Chain Management en_US
dc.subject SCM en_US
dc.subject Apparel supply chains en_US
dc.title Performance analysis of agile supply chain en_US
dc.type Article en_US


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