Multiobjective hybrid genetic algorithm for reverse logistics network design of inventory systems with backordering

Jeong Eun Lee, Kyong Gu Rhee, Hee Hyol Lee

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The reverse logistics is the process flow of used-products that are collected to be reproduced so that they can be sold again to customers after some processing. Within this perspective, we formulated a mathematical model of the reuse system as a reverse logistics with two objectives functions: one is minimizing cost of reverse logistics network problem, (i.e. transportation cost, disposal cost, purchase cost and inventory holding cost) another is just-in-time delivery, and minimizes the costs of backorders and inventories in manufacturer in all periods. This paper proposes a new multiobjective hybrid genetic algorithm approach, and shows how the performance of multiobjective genetic algorithm can be improved by hybridization with Fuzzy Logic Control (FLC). In the experimental results comparing CPLEX, pri-awGA (priority-based adaptive weight Genetic Algorithm) and mo-hGA (multiobjective Hybrid Genetic Algorithm), we demonstrated the effectiveness of mo-hGA such as shortness of computational time and better solutions.

本文言語English
ホスト出版物のタイトルIEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management
ページ2318-2322
ページ数5
DOI
出版ステータスPublished - 2010 12 1
イベントIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010 - Macao, China
継続期間: 2010 12 72010 12 10

出版物シリーズ

名前IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management

Other

OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2010
国/地域China
CityMacao
Period10/12/710/12/10

ASJC Scopus subject areas

  • 産業および生産工学

フィンガープリント

「Multiobjective hybrid genetic algorithm for reverse logistics network design of inventory systems with backordering」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル