Tackling the Simple Supply Chain Model

In the future a need will exist, If it does not already, to automate supply chains as trading electronically becomes increasingly important. Using the simple supply chain model (SSCM) allows a supply chain situation to be captured for experimentation. This paper describes efforts to evolve strategies for tackling SSCM specified problems through the use of a strategy framework (SSF) and market simulation system (SMSS). While the SSF provides a basic strategy representation system, the SMSS evolves strategies over multiple supply chain simulations using population based incremental learning with guided mutation. The paper further discuss some of the techniques being used to analyse the resultant data.