| 제목 | 배송 차량 이동시간을 고려한 도심형 물류센터 최적 입지 선정 |
|---|---|
| Title | An Optimal Urban Microfulfillment Center Location Model Utilizing Mobility Bigdata for Delivery Vehicles |
| 저자 |
강명구 (인하대학교 물류전문대학원) 이숭봉 (한국교통연구원 AI·빅데이터플랫폼연구팀) 남대식* (인하대학교 아태물류학부) |
| Author |
Myeong Gu Kang (Graduate School of Logistics, Inha University) Soong Bong Lee (Department of Transport Big Data, Korea Tranport Institute) Daisik Nam＊ (Department of Logistics, Inha University) |
| Bibliography | Journal of Logistics Science & Technology, 5(1),76-98, 2024, |
| DOI | 10.23178/jlst.5.1.202403.005 |
| Key Words | Logistics, Transportation, Spatial Analysis, Location Model, Microfulfillment Center |
| Abstract | Growth in the E-Commerce market has led to a surge in-demand for novel delivery services such as same-day and dawn deliveries. The foundational Hub and Spoke logistics system, which requires goods to pass through a central hub, face limitations in meeting the current demand for rapid delivery to end consumers. Amidst this backdrop, distributors and corporations with their own delivery systems are striving to minimize the distance and time of the last-mile delivery, leading to an increasing need for urban Microfulfillment Centers. In this study, we aim to determine optimal locations for these centers using vehicle navigation data, specifically real-time driving speeds on roads, provided by the Korea Transport Institute. This decision-making challenge was defined as a simple linear programming problem, considering available site candidates and the actual travel time to anticipated demand sites. Future research in this domain can potentially expand to consider factors like product category-based demand, population distribution in demand areas, and clustering of anticipated demand sites to analyze inventory distribution across MFCs and the feasibility of inter-center connections. |
| PDF download | JM_5[1]-P76-98.pdf |