DocumentCode
2650697
Title
Decision-Making Research of Green Purchasing Based on Set-pair Analysis
Author
Qing-kui, CAO ; Li-jie, LI ; Bing, YU
Author_Institution
Hebei Univ. of Eng., Tianjin
fYear
2007
fDate
20-22 Aug. 2007
Firstpage
555
Lastpage
560
Abstract
With the increasing pressure of the environment and the request of building a resource-conservation and friendly society, environmental management has become an important issue which should not be ignored. Governments also put the question of resources and environment on the agenda. Chinese government proposed and formulated a workable green purchasing system in 2005. The foreign study on environmental management has changed from the internal green management and green marketing to green purchasing. Green purchasing is the key factor to breakthrough green technical barriers and to deal with the wave of green consumption. The theory and practice of green purchasing has been concerned gradually. This paper integrates traditional set-pair analysis with markov, and then establishes the dynamic model of set-pair analysis based on Markov chain. From the point of view improving customer satisfaction, the model is applied into green purchasing and shows better results.
Keywords
Markov processes; customer satisfaction; decision making; environmental management; purchasing; set theory; supply chain management; Chinese government; Markov chain; customer satisfaction; decision making research; environmental management; friendly society; green purchasing system; green supply chain management; resource conservation; set-pair analysis; Biodegradable materials; Biological materials; Conference management; Customer satisfaction; Decision making; Engineering management; Environmental economics; Environmental management; Government; Resource management; Markov chain; customer satisfaction; green purchasing; set-pair Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-7-88358-080-5
Electronic_ISBN
978-7-88358-080-5
Type
conf
DOI
10.1109/ICMSE.2007.4421905
Filename
4421905
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