Author_Institution :
Sch. of Bus. Adm., Shandong Univ. of Finance, Ji´´nan, China
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;