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dc.contributor.authorRamanathan, Usha
dc.date.accessioned2020-05-12T10:15:09Z
dc.date.available2020-05-12T10:15:09Z
dc.date.issued2013-07-16
dc.identifier.citationRamanathan U (2014) 'Performance of supply chain collaboration - a simulation study', Expert Systems with Applications, 41 (1), pp.210-220.en_US
dc.identifier.issn0957-4174
dc.identifier.doi10.1016/j.eswa.2013.07.022
dc.identifier.urihttp://hdl.handle.net/10547/623961
dc.description.abstractIn the past few decades several supply chain management initiatives such as Vendor Managed Inventory, Continuous Replenishment and Collaborative Planning Forecasting and Replenishment (CPFR) have been proposed in literature to improve the performance of supply chains. But, identifying the benefits of collaboration is still a big challenge for many supply chains. Confusion around the optimum number of partners, investment in collaboration and duration of partnership are some of the barriers of healthy collaborative arrangements. To evolve competitive supply chain collaboration (SCC), all SC processes need to be assessed from time to time for evaluating the performance. In a growing field, performance measurement is highly indispensable in order to make continuous improvement; in a new field, it is equally important to check the performance to test conduciveness of SCC. In this research, collaborative performance measurement will act as a testing tool to identify conducive environment to collaborate, by the way of pinpointing areas requiring improvements before initializing collaboration. We use actual industrial data and simulation to help managerial decision-making on the number of collaborating partners, the level of investments and the involvement in supply chain processes. This approach will help the supply chains to obtain maximum benefit of collaborative relationships. The use of simulation for understanding the performance of SCC is relatively a new approach and this can be used by companies that are interested in collaboration without having to invest a huge sum of money in establishing the actual collaboration. © 2013 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0957417413004995en_US
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF
dc.subjectCPFRen_US
dc.subjectperformance measurementen_US
dc.subjectsimulationen_US
dc.subjectsupply chain collaborationen_US
dc.titlePerformance of supply chain collaboration - a simulation studyen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.identifier.journalExpert Systems with Applicationsen_US
dc.date.updated2020-05-12T08:09:16Z
dc.description.notepre 2016 so no file required
refterms.dateFOA2020-05-12T10:18:50Z


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