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.