Multiobjective Transshipment Point Assignment in China Express Delivery Network

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)31A_Invited conference paper (refereed items)

View graph of relations

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages28-31
Publication statusPublished - May 2017

Conference

Title50th IEEE International Symposium on Circuits and Systems (ISCAS 2017)
PlaceUnited States
CityBaltimore
Period28 - 31 May 2017

Abstract

The rapid development in logistics industry urges for an effective express delivery network, to deliver goods to customers in a prompt and cost effective way. Such a network is usually operated in a typical hub-and-spoke manner. Therefore, it is important to assign the hubs (known as transshipment points (TP)) in the network so as to maximize its performance. In this paper, the TP assignment problem is formulated as a multiobjective problem and solved by a multiobjective genetic algorithm (MOGA). The practical usage of the design is demonstrated with a China express delivery network and its effectiveness is confirmed by comparing with a weighted exhaustive heuristic algorithm. As shown by the simulation results, our approach is very effective and a widely spread non-dominated solution set can be obtained.

Bibliographic Note

Information for this record is provided by the author(s) concerned.

Citation Format(s)

Multiobjective Transshipment Point Assignment in China Express Delivery Network. / Fan, Zhongyan; Bi, Xiaowen; Li, Doujie; Tang, Wallace K.S.

2017. 28-31 50th IEEE International Symposium on Circuits and Systems (ISCAS 2017), Baltimore, United States.

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)31A_Invited conference paper (refereed items)