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 language | English (US) |
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Pages (from-to) | 526-535 |
Number of pages | 10 |
Journal | Production Planning and Control |
Volume | 18 |
Issue number | 6 |
DOIs | |
State | Published - Sep 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