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Sustainable material selection for construction industry – A hybrid multi criteria decision making approach

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  • Govindan, Kannan
  • Madan Shankar, K.
  • Kannan, Devika

Abstract

Urbanization and globalization has led to a rapid development in the construction industry. Many strategies have been proposed to improve cost effectiveness in this sector. Over the last decade, cost concerns have been balanced with a growing debate on the necessity for sustainable construction practices. Because of depleting resources and environmental concerns, researchers and practitioners have begun to explore sustainable construction strategies. Among these strategies is the selection of sustainable materials which play a vital role in a building׳s environmental footprint. In the UAE in particular, there is an ongoing demand to select the best sustainable construction materials because the industry is growing so rapidly in this nation. Thus, the main intent of this paper is to propose a model to evaluate the best sustainable construction material based on sustainable indicators through a hybrid multi criteria decision making (MCDM) methodology with a specific examination of the UAE. The indicators collected from existing literatures were used in evaluation of sustainable construction materials with the assistance of construction sector-based respondents. The proposed framework was validated with a case study company, and the results were compared to the existing literatures and to feedback from the respondents. Finally, the study concludes with an assessment of its own limitations along with the identification of some useful managerial implications; it sheds some light on future possible enhancements in the theme of sustainable construction in the context of UAE.

Suggested Citation

  • Govindan, Kannan & Madan Shankar, K. & Kannan, Devika, 2016. "Sustainable material selection for construction industry – A hybrid multi criteria decision making approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1274-1288.
    • Handle: RePEc:eee:rensus:v:55:y:2016:i:c:p:1274-1288
    DOI: 10.1016/j.rser.2015.07.100
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    Cited by:

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    2. Tsai, Sang-Bing & Yu, Jian & Ma, Li & Luo, Feng & Zhou, Jie & Chen, Quan & Xu, Lei, 2018. "A study on solving the production process problems of the photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3546-3553.
    3. Büyüközkan, Gülçin & Güleryüz, Sezin, 2016. "An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey," International Journal of Production Economics, Elsevier, vol. 182(C), pages 435-448.
    4. Razika Malek & Qing Yang, 2023. "Analyzing Interrelationships and Prioritizing Performance Indicators in Global Product Development: Application in the Chinese Renewable Energy Sector," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    5. Tian, Guangdong & Zhang, Honghao & Feng, Yixiong & Wang, Danqi & Peng, Yong & Jia, Hongfei, 2018. "Green decoration materials selection under interior environment characteristics: A grey-correlation based hybrid MCDM method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 682-692.
    6. Luthra, Sunil & Govindan, Kannan & Kharb, Ravinder K. & Mangla, Sachin Kumar, 2016. "Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 379-397.
    7. Tsai, Sang-Bing, 2018. "Using the DEMATEL model to explore the job satisfaction of research and development professionals in china's photovoltaic cell industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 62-68.
    8. Weththasinghe, K.K. & Stephan, A. & Francis, V. & Tiwari, P., 2022. "Improving material selection in shopping centres through a parametric life cycle embodied flow and material cost analysis model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    9. Govindan, Kannan, 2023. "Pathways to low carbon energy transition through multi criteria assessment of offshore wind energy barriers," Technological Forecasting and Social Change, Elsevier, vol. 187(C).

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