Simulation of Order Fulfillment in Divergent Assembly Supply Chains

Troy J Strader, Fu-Ren Lin, Michael J Shaw

Research output: Contribution to journalArticle

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. Adapted from the source document
Original languageEnglish (US)
Pages (from-to)1-5
JournalJournal of Artificial Societies and Social Simulation
Volume1
Issue number2
StatePublished - 1998

Keywords

  • Decision making
  • Electronics
  • High Technology Industries
  • Information Sources
  • Models
  • SWARM
  • Supply
  • Supply and Demand
  • Uncertainties
  • coordination
  • decision-making
  • information
  • management
  • model
  • modeling
  • multi-agent simulation
  • order
  • simulation
  • time
  • uncertainty

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