• 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