연관 규칙 마이닝을 이용한 제품 저장 위치 할당 방식에 관한 연구
Location assignment using association rule mining in a warehouse
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Abstract
Order picking costs account for a significant portion of the logistics system of the warehouse. To increase the efficiency of warehouse operation, order picking operations in the warehouse should be carefully designed. In this work, we study the location assignment problem to study the applicability of the data mining approach in determining the storage locations. Specifically, we present an association rule-based storage assignment algorithm denoted by the Apriori algorithm and the Affinity algorithm. The objective of this work is to minimize the order picker’s travel distance by allocating the storage locations using the association rule-based approach. We observe the details for analyzing the efficiency of the proposed approach with the actual online transaction data. The results from the experiments show that the proposed methods outperform the turnover-based assignments.
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