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Designing a Distribution Network for Faster Delivery of Online Retailing : A Case Study in Bangkok, Thailand KCI 등재
pp.25-35
Purpose – The purpose of this paper is to partition a last-mile delivery network into zones and to determine locations of last mile delivery centers (LMDCs) in Bangkok, Thailand. Research design, data, and methodology – As online shopping has become popular, parcel companies need to improve their delivery services as fast as possible. A network partition has been applied to evaluate suitable service areas by using METIS algorithm to solve this scenario and a facility location problem is used to address LMDC in a partitioned area.
Research design, data, and methodology – Clustering and mixed integer programming algorithms are applied to partition the network and to locate facilities in the network.
Results – Network partition improves last mile delivery service. METIS algorithm divided the area into 25 partitions by minimizing the inter-network links. To serve short-haul deliveries, this paper located 96 LMDCs in compact partitioning to satisfy customer demands.
Conclusions –The computational results from the case study showed that the proposed two-phase algorithm with network partitioning and facility location can efficiently design a last-mile delivery network. It improves parcel delivery services when sending parcels to customers and reduces the overall delivery time. It is expected that the proposed two-phase approach can help parcel delivery companies minimize investment while providing faster delivery services.
1. Introduction
2. Literature Review
2.1. Last-mile Delivery Services
2.2. Network Partitioning
2.3. Facility Location and Parcel Delivery NetworkDesign
3. Research Methodology
3.1. Network Partitioning Formulation
3.2. METIS algorithm for Contiguous Network Partitioning
3.3. Facility Location Formulation
4. Case Study in Bangkok, Thailand
5. Conclusions and Discussions
References
