A network-based decision tool to model uncertainty in supply chain operations
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.
Keywords: Industry application; Network model; Supply chain management; Uncertainty
Document Type: Research Article
Affiliations: 1: Logistics, Operations and MIS Department, College of Business, Iowa State University, Ames, Iowa 50011-1350 2: Department of Industrial Engineering, Arizona State University, Tempe, Arizona 85287-5906 3: Department of Mechanical and Industrial Engineering, Seamans Center, University of Iowa, Iowa City, Iowa 52242
Publication date: 01 September 2007
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