| 제목 | 다품종 온라인 패션 상품 풀필먼트센터의 VAF를 적용한 피킹 동선 개선 사례연구 |
|---|---|
| Title | Improving Picking Routes in Multi-Item Online Fashion Fulfillment Centers Using VAF |
| 저자 |
문보영 (인하대학교 물류전문대학원) 김용진* (인하대학교 물류전문대학원) |
| Author |
Bo-Young Moon (Graduate School of Logistics, Inha University) Yong Jin Kim (Graduate School of Logistics, Inha University) |
| Bibliography | Journal of Logistics Science & Technology, 5(3),1~18, 2024, |
| DOI | 10.23178/jlst.5.3.202409.001 |
| Key Words | Fulfillment Center Efficiency, Inventory Relocation, Online Warehouse Efficiency, Association Analysis |
| Abstract | In light of the unprecedented challenges posed by the COVID-19 pandemic, this paper addresses several critical issues within fulfillment centers, including an increased workload due to a backlog of unprocessed orders and order cancellations resulting from delayed shipments in daily shipment operations. The significant increase in the volume of orders requiring processing emphasizes the need to optimize operational efficiency within fulfillment centers to enhance the shipping process. This paper employs Volume, Frequency, and Association Rules(VFA) analysis techniques to demonstrate the positive impact of enhancing worker operations. VFA is a data analysis technique specifically tailored to bolster operational efficiency within fulfillment centers. It operates by examining data characteristics related to volume, frequency, and association rules. A key aspect of the VFA technique involves segregating products with high online order volumes and frequencies and strategically restocking them near the warehouse location. This strategic placement yields reduced picking times by minimizing the distance required for item retrieval. Consequently, by arranging ordered items in closer proximity within the warehouse, operational efficiency is heightened, leading to a decrease in work time. Furthermore, the study advocates the use of Association Rules, a machine learning analysis method, when handling orders consisting of multiple packages. |
| PDF download | JM_5[3]-P1~18.pdf |