Article ID: | iaor2005939 |
Country: | United Kingdom |
Volume: | 55 |
Issue: | 8 |
Start Page Number: | 801 |
End Page Number: | 813 |
Publication Date: | Aug 2004 |
Journal: | Journal of the Operational Research Society |
Authors: | Shah N., Hung W.Y., Kucherenko S., Samsatli N.J. |
Keywords: | supply chain |
In this paper, we present a new modelling approach for realistic supply chain simulation. The model provides an experimental environment for information comparison between different supply chain policies. A basic simulation model for a generic node, from which a supply chain network can be built, has been developed using an object-oriented approach. This generic model allows the incorporation of the information and physical systems and decision-making policies used by each node. The object-oriented approach gives the flexibility in specifying the supply chain configuration and operation decisions, and policies. Stochastic simulations are achieved by applying Latin Supercube Sampling to the uncertain variables in descending order of importance, which reduces the number of simulations required. We also present a case study to show that the model is applicable to a real-life situation for dynamic stochastic studies.