Decision Making Simulator for Supply Allocation Under Uncertainty

This work presents a simulation-based testbed for evaluation of supply distribution strategies in a single product multi-period two-stage social welfare supply chain with a divergent network configuration of n supply points and m demand points. Further, the supply and demand per period are assumed to be uncertain, which necessitates the use of simulation. The testbed is demonstrated through a test scenario, which in turn is based on an existing supply network. In the demonstration, specific identified strategies were used to allocate the available supply among the demand points. Each of these strategies was individually used and simulated over a year and performance measures indicate how one strategy cannot be used for a prolonged period. Future work would consist of an automation element in the testbed for decision making in supply allocation.