Multi-Objective Optimization Model of Hub Location-Allocation in Intermodal Logistics Networks

Hub location-allocation problem is a key issue to affect the time and cost of intermodal logistics, and directly affects the interests of the carriers and customers. In the case of hub location-allocation problem in intermodal logistics networks, this paper uses graph theory to describe intermodal logistics networks based on different modes of transport and develops a multi-objective optimization model which encompasses the logistics cost, service time and transportation risks. This model can be transformed through the main target method and uses LINGO software to test and verify.

• Record URL:
  • https://doi.org/10.1061/9780784412602.0018
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412602
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Zhu, Rongrong
  • Hu, Dawei
• Conference:
  • Inernational Conference of Logistics Engineering and Management 2012
  • Location: Chengdu , China
  • Date: 2012-10-8 to 2012-10-10
• Publication Date: 2012-11

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 110-116
• Monograph Title: ICLEM 2012: Logistics for Sustained Economic Development—Technology and Management for Efficiency

Subject/Index Terms

• TRT Terms: Costs; Graph theory; Hubs; Intermodal transportation; Location; Logistics; Risk; Service time
• Identifier Terms: LINGO (Programming language)
• Uncontrolled Terms: Multiobjective optimization
• Subject Areas: Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01521787
• Record Type: Publication
• ISBN: 9780784412602
• Files: TRIS, ASCE
• Created Date: Apr 8 2014 12:20PM