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GSSOA Using Linguistic Z-Numbers and AQM

In: Green Supplier Evaluation and Selection: Models, Methods and Applications

Author

Listed:
  • Hu-Chen Liu

    (Tongji University)

  • Xiao-Yue You

    (Tongji University)

Abstract

With the increased awareness of environmental issues worldwide, green production and development have become very important for various industries. To select appropriate supply partners and reasonable allocate order quantity, this chapter develops an integrated GSSOA model through the combination of linguistic Z-numbers, alternative queuing method (AQM) and multi-objective line programming (MOLP) model. The linguistic Z-numbers are adopted to express the decision makers’ performance evaluations of alternative suppliers. A step-wise weight assessment ratio analysis (SWARA) technique is used to calculate the weights of evaluation criteria. An extended AQM is proposed for the ranking of green suppliers. A MOLP model is established to determine the optimal order quantity for the qualified green suppliers according to their priority values. Finally, an empirical example is presented to illustrate the rationality and efficiency of the developed GSSOA model.

Suggested Citation

  • Hu-Chen Liu & Xiao-Yue You, 2021. "GSSOA Using Linguistic Z-Numbers and AQM," Springer Books, in: Green Supplier Evaluation and Selection: Models, Methods and Applications, chapter 0, pages 297-320, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-0382-2_13
    DOI: 10.1007/978-981-16-0382-2_13
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