Earticle

초록

영어

Hub and spoke network has been widely used in air transport, road freight, shipping network and urban distribution areas as part of the strategic decisions, which may have a profound effect on the future of enterprises. In view of the existing network structure, as time goes on, the number of spokes and the flow change because of different sources of uncertainty. Hence, the incremental optimization of the capacitated single-allocation hub and spoke network problem is considered in this paper, and the decisions to be made to cope with change comprise (i) whether new hubs need to be setup and their selection, (ii) whether the capacity levels of original hubs need to be adjusted, and their new capacity levels, (iii) whether the original hubs need to be closed, (iv) the new allocation of the spoke nodes to the hubs, (v) the flow distribution through the sub network defined by all the hubs. The objective is to minimize the total cost, which includes the setup costs for the new hubs, the closure costs and the adjustment costs for the original hubs as well as the flow routing costs. Two mixed-integer linear programming formulations are proposed and analyzed for this problem. A set of computational tests are performed, and we analyze the changes in the solutions driven by the number of spokes and the flow. The tests also allow an analysis to consider the effect of variation in parameters on the network.

목차

Abstract
 1. Introduction
 2. Formulations and Properties
  2.1 The Initial Optimization Model
  2.2 The Incremental Optimization Model
 3. Computational Experience
  3.1 The Initial Optimization Analysis and Conclusion
  3.2 The Incremental Optimization Analysis and Conclusion
 4. Conclusion
 References

키워드

저자

• Yanfeng Wang [ Logistics Research Center, Shanghai Maritime University, China, School of Economics and Management, Shanghai Maritime University, China ]
• Youfang Huang [ Logistics Research Center, Shanghai Maritime University, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605