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 Citations (Scopus)

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 2007

Fingerprint

Supply chains
Uncertainty
Model uncertainty
Supply chain
Methodology
Costs
Industry

Keywords

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

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Cite this

A network-based decision tool to model uncertainty in supply chain operations. / Blackhurst, J.; Wu, Teresa; O'Grady, P.

In: Production Planning and Control, Vol. 18, No. 6, 09.2007, p. 526-535.

Research output: Contribution to journalArticle

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