publication . Article . 2016

Performance metric optimization advocates CPFR in supply chains: A system dynamics model based study

Balaji Janamanchi; James R. Burns;
Open Access English
  • Published: 01 Dec 2016 Journal: issn: 2331-1975, Copyright policy
  • Publisher: Abingdon: Taylor & Francis
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, r...
Subjects
free text keywords: simulation modeling, HF5001-6182, Business, optimization, systems dynamics, Social Sciences, CPFR, H, supply chain performance metrics, ddc:650
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publication . Article . 2016

Performance metric optimization advocates CPFR in supply chains: A system dynamics model based study

Balaji Janamanchi; James R. Burns;