DocumentCode
479706
Title
Study on reclaiming agent selection models and approaches
Author
Wang, Ruijiang ; Ru, Yihong ; Zhu, Xiaoxia
Author_Institution
Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
Volume
1
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1262
Lastpage
1267
Abstract
Facing environmental pollution and non-renewable resources day after day depletion, the traditional mode of operation of enterprises subject to challenge. Reverse logistics system has aroused attention, During the process of implementing reverse supply chains management, manufacturers must select optimum reclaiming agent in order to take the task of manufacturer´s outspread duties. In this paper, on the basis of discussing the importance of selecting optimum reclaiming agent, firstly constructed process frame and evaluating index system of selecting reclaiming agent, then constructed reclaiming agent selection models. The model can be used to making decision of selecting optimum reclaiming agent. This model proposed efficient foundation for decision-maker to make scientific choice. Finally, this paper gives a case to verify the feasibility and maneuverability of this model.
Keywords
decision making; genetic algorithms; pollution; reverse logistics; rough set theory; supply chain management; agent selection models; decision-maker; environmental pollution; genetic algorithm; non-renewable resources; reverse logistics system; reverse supply chains management; rough set; Environmental economics; Manufacturing processes; Power generation economics; Production; Protection; Recycling; Supply chain management; Supply chains; Sustainable development; Testing; Comprehensive Evaluation; Fuzzy Assignment Problem; Genetic Algorith; Multiple Attribute Decision Making; Reclaiming Agent Selection; Rough Set;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2012-4
Electronic_ISBN
978-1-4244-2013-1
Type
conf
DOI
10.1109/SOLI.2008.4686593
Filename
4686593
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