Simulation of Order Fulfillment in Divergent Assembly Supply Chains

Troy J Strader (), Fu-ren Lin () and Michael J Shaw ()
Additional contact information
Troy J Strader: http://www.cbpa.drake.edu/strader/
Fu-ren Lin: http://mx.nthu.edu.tw/~frlin

Journal of Artificial Societies and Social Simulation, 1998, vol. 1, issue 2, 5

Abstract: Management of supply chains is a difficult task involving coordination and decision-making across organizational boundaries. Computational modeling using multi-agent simulation is a tool that can provide decision support for supply chain managers. We identify the components of a supply chain model and implement it in the Swarm multi-agent simulation platform. The model is used to study the impact of information sharing on order fulfillment in divergent assembly supply chains (commonly associated with the computer and electronics industries). We find that efficient information sharing enables inventory costs to be reduced while maintaining acceptable order fulfillment cycle times. This is true because information, which provides the basis for enhanced coordination and reduced uncertainty, can substitute for inventory.

Keywords: Supply Chain Management; Multi-Agent Simulation; Swarm; Decision Support Systems; Electronic Commerce; Computer Industry; Electronics Industry (search for similar items in EconPapers)
Date: 1998-03-31
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:1998-3-1

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