Simulating inventory systems with forecast based policy updating

Authors:
Manuel Rossetti;Vijith Varghese;Mehmet Miman;Edward Pohl
Affiliations:
University of Arkansas, Fayetteville, AR;University of Arkansas, Fayetteville, AR;University of Arkansas, Fayetteville, AR;University of Arkansas, Fayetteville, AR
Venue:
Proceedings of the 40th Conference on Winter Simulation
Year:
2008

Citing 3
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Abstract

This paper presents an object oriented framework that facilitates modeling inventory systems whose policy updating is driven by forecast estimates. In an inventory system, the forecast estimates and the forecast error measures are used to set the inventory policy. A simulation approach can address questions regarding the choice of the forecasting technique and the frequency of updating the policy, especially in non-stationary demand scenarios. This paper discusses how the framework can be used to develop simulation models through which these questions can be addressed. In addition, two examples illustrate how to use the framework and how to analyze supply chains with forecast based policy updating.