Optimization of facility location problem in reverse logistics network using Artificial Bee Colony algorithm

S. Z. Zhang, Ka Man Lee

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The management of used products attracts an increasing attention, which brings out the concept of Reverse Logistics. Reverse logistics is the reverse flow of surplus material back to the firm for reuse, repair, remanufacturing, recycling, and disposal of used products. In this research, we use the Artificial Bee Colony (ABC) algorithm to solve the location and allocation problems of collection centers with the goal of minimizing total logistics costs. The performance of ABC algorithm is illustrated in our numerical experiments, which prove it is effective and efficient to handle the design of reverse logistics network. Our research provides useful insights of adopting of ABC algorithm for the optimization problems with multiple constrains.
Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1348-1352
Number of pages5
ISBN (Electronic)9781479909865
DOIs
Publication statusPublished - 1 Jan 2014
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: 10 Dec 201313 Dec 2013

Conference

Conference2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
Country/TerritoryThailand
CityBangkok
Period10/12/1313/12/13

Keywords

  • Artificial bee colony algorithm
  • Collection center
  • Facility location problem
  • Reverse logistics

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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