Building of reverse logistics model in reusable recovery and optimization considering transportation, inventory, and backorder costs

Jeong Eun Lee*, Hee Hyol Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with the building of the reusable reverse logistics model considering the decision of the backorder or the next arrival of goods. The optimization method to minimize the transportation cost and to minimize the volume of the backorder or the next arrival of goods occurred by the Just in Time delivery of the final delivery stage between the manufacturer and the processing center is proposed. Through the optimization algorithms using the priority-based genetic algorithm and the hybrid genetic algorithm, the sub-optimal delivery routes are determined. Based on the case study of a distilling and sale company in Busan, Korea, the new reverse logistics model in reusable recovery of empty bottles is built and the effectiveness of the proposed method is verified.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages511-514
Number of pages4
Publication statusPublished - 2011 Dec 1
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan
Duration: 2011 Jan 272011 Jan 29

Publication series

NameProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference16th International Symposium on Artificial Life and Robotics, AROB '11
Country/TerritoryJapan
CityBeppu, Oita
Period11/1/2711/1/29

Keywords

  • Backorder or next arrival of goods
  • Reusable recovery
  • Reverse logistics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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