Abstract
The growth in the packaged food industry has created pressure on the packaged food warehouse to enhance the order-picking efficiency. The decision support system (DSS) for stock keeping units (SKUs) allocation thus has to make quality decisions for shortening the order-picking time. In order to improve the decision making ability of the DSS, the determinant factors of the major input variable - the storage time of SKUs, have to be identified. Given the imprecise nature of the potential determinant factors, a fuzzy association rule mining (FARM) framework is proposed in this study. It applies the FARM technique to identify and evaluate the factors and patterns concerning the storage time of SKUs in packaged food warehouses. The framework was tested through a case study, and the results showed that the framework is able to identify the most relevant input variables in regard to the storage time and can describe the relationships between them specifically.
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