A Hybrid Genetic Algorithm for the Stochastic Dynamic Location-Routing-Inventory Problem in Closed-Loop Logistics System for Reusing End-of-Use Products

The reuse of end-of-use products is always an important issue in closed-loop logistics system. To optimize closed-loop logistics system for reusing end-of-use products, an integrated optimization model for stochastic dynamic location-routing-inventory problem is presented in this paper. And a hybrid genetic algorithm is also proposed to solve the model. Finally, the validity of the model and algorithm is demonstrated by an example.

• Record URL:
  https://doi.org/10.1061/41039(345)668
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Jiang, Sai
  • Ma, Zujun
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 4055-4060
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Feedback control; Genetic algorithms; Inventory; Location; Logistics; Optimization; Routing; Stochastic processes
• Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01535567
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Aug 27 2014 10:50AM