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A New Dynamic Multicriteria Decision-Making Approach for Green Supplier Selection in Construction Projects under Time Sequence

Author

Listed:
  • Shi Yin
  • Baizhou Li
  • Hengmin Dong
  • Zeyu Xing

Abstract

Nowadays, due to the lack of natural resources and environment problems which have been appearing increasingly, green building is more and more involved in the construction industry. The evaluation and selection of green supplier are a significant part of the development of green building. In this paper, we propose a new dynamic multicriteria decision-making approach in construction projects under time sequence to deal with these problems. First, the paper establishes 4 main criteria and 17 subcriteria for green supplier selection in construction projects. Then, a method considering interaction between criteria and the influence of constructors subjective preference and objective criteria information is proposed. It uses the interval-valued intuitionistic fuzzy geometric weighted Heronian means (IVIFGWHM) operator and multitarget nonlinear programming model to calculate the comprehensive evaluation results of potential green suppliers. The proposed method is much easier for constructors to select green supplier and make the localization of green supplier more practical and accurate in construction projects. Finally, a case study about a green building project is given to verify practicality and effectiveness of the proposed approach.

Suggested Citation

  • Shi Yin & Baizhou Li & Hengmin Dong & Zeyu Xing, 2017. "A New Dynamic Multicriteria Decision-Making Approach for Green Supplier Selection in Construction Projects under Time Sequence," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-13, December.
  • Handle: RePEc:hin:jnlmpe:7954784
    DOI: 10.1155/2017/7954784
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    Cited by:

    1. Seyed Hossein Razavi Hajiagha & Jalil Heidary-Dahooie & Ieva MeidutÄ—-KavaliauskienÄ— & Kannan Govindan, 2022. "A new dynamic multi-attribute decision making method based on Markov chain and linear assignment," Annals of Operations Research, Springer, vol. 315(1), pages 159-191, August.

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