Performance analysis of agile supply chain

dc.contributor.authorRoutroy, Srikanta
dc.date.accessioned2023-08-21T05:33:30Z
dc.date.available2023-08-21T05:33:30Z
dc.date.issued2015-05
dc.description.abstractAgile 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.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJMTM.2015.069255
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11535
dc.language.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectMechanical Engineeringen_US
dc.subjectAgile supply chainsen_US
dc.subjectASCsen_US
dc.subjectFuzzy AHPen_US
dc.subjectSupply Chain Managementen_US
dc.subjectSCMen_US
dc.subjectApparel supply chainsen_US
dc.titlePerformance analysis of agile supply chainen_US
dc.typeArticleen_US

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