DocumentCode
2568782
Title
Research on Green Suppliers´ Evaluation Based on AHP & Genetic Algorithm
Author
Yan, Ge
Author_Institution
Sch. of Bus. Adm., Shandong Univ. of Finance, Ji´´nan, China
fYear
2009
fDate
15-17 May 2009
Firstpage
615
Lastpage
619
Abstract
With the green supply chain growing up, the evaluation optical selection of green suppliers increasingly becomes the key points of the recycling economy and green environmental protection industry. Analytical Hierarchy Process (AHP), a commonly used quantitative research method, is the widely used evaluation indicator solution. The genetic algorithm which is one of the major technologies of intelligent calculation, with adaptively dynamic adjustment and global optimization capability, has been widely used in combinatorial optimization, machine learning, signal processing, adaptive control and artificial life. Based on the characteristics of the two methods, the paper designs a program making real-time feedback of information according to AHP, adopting genetic algorithm combined with AHP dynamic adjusting green supplier evaluation index weights, to further enhance the objectivity and efficiency of the system evaluation of green suppliers and reduce the asymmetric information on the green supply chain for the promotion of information technology for green industry.
Keywords
environmental economics; genetic algorithms; procurement; recycling; statistical analysis; supply chains; sustainable development; AHP; analytical hierarchy process; genetic algorithm; global optimization capability; green environmental protection industry; green procurement; green suppliers evaluation; green supply chain; program making real-time feedback; recycling economy; sustainable development; Artificial intelligence; Genetic algorithms; Learning systems; Machine learning; Optical feedback; Optical signal processing; Protection; Recycling; Signal processing algorithms; Supply chains; AHP; genetic algorithm; green suppliers; green supply chain;
fLanguage
English
Publisher
ieee
Conference_Titel
2009 International Conference on Signal Processing Systems
Conference_Location
Singapore
Print_ISBN
978-0-7695-3654-5
Type
conf
DOI
10.1109/ICSPS.2009.92
Filename
5166860
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