A network-based decision tool to model uncertainty in supply chain operations

J. Blackhurst, Teresa Wu, P. O'Grady

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

Typical supply chains can be characterised by their complexity and by the inherent uncertainty in their operations. Modelling such supply chains would allow for analysis of the system; however, this is a difficult task both in practice and research. This paper proposes a generalisable network based methodology to model supply chain operations and the uncertainty of system attributes such as lead time and cost. The methodology represents the operation of a supply chain as a high-level network and allows for the inclusion of stochastic variables so that uncertainty in the operation of a supply chain can be modelled and analysed in order to implement changes to improve overall system performance. The use of the methodology is illustrated on an industry application.

Original languageEnglish (US)
Pages (from-to)526-535
Number of pages10
JournalProduction Planning and Control
Volume18
Issue number6
DOIs
StatePublished - Sep 1 2007

Keywords

  • Industry application
  • Network model
  • Supply chain management
  • Uncertainty

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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