Fuzzy Wagner Whitin Algorithm and an Application of Class I Supplies

The purpose of this study is to avoid unnecessary stocking of Class I supply materials via proper lot- sizing methods; to determine the level of stocks in food accountancy warehouses and to make appropriate stocking policies. The data that was used in this study was obtained from a unit of Turkish Armed Forces. All the data were determined and applied to the nine lot sizing methods and best order policies were obtained from Wagner Whitin algorithm. Because the future values of the parameters must be used in WW model, the data used at the beginning may change by the time. Related to the future changed data, the optimal order policy may differ and real total cost will be higher than the model. The fuzzy concept was utilized in Wagner Whitin algorithm to manage uncertain demands and costs. Fuzzy WW algorithm was proposed and shown for one of the items.