Performance Metric Optimization Advocates CPFR in Supply Chains: A System Dynamics Model Based Study

Balaji Janamanchi, James Burns

Research output: Contribution to journalArticle

Abstract

Abstract Background: Supply Chain partners often find themselves in rather helpless positions, unable to improve their firm’s performance and profitability because their partners although willing to share production information do not fully collaborate in tackling customer order variations as they don’t seem to appreciate the benefits of such collaboration. Methods: We use a two-player (supplier-manufacturer) System Dynamics model to study the dynamics to assess the impact and usefulness of supply chain partner collaboration on the supply chain performance measures. Results: Simulation results of supply chain metrics under varied customer order patterns viz., basecase, random normal, random uniform, random upwardtrend, and random downwardtrend under (a) basecase, (b) independent optimization by manufacturer, and (c) collaborative optimization by manufacturer and supplier, are obtained to contrast them to develop useful insights. Conclusions: Focus on obtaining improved inventory turns
Original languageEnglish
Pages (from-to)20
JournalCogent Business and Management
DOIs
StatePublished - Feb 2 2016

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