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Decision Support System (DSS) for selecting sustainable insulation material using Pareto Search and Novel fuzzy modified TOPSIS approach

  • Author / Creator
    Kim, Sungyi
  • This research developed a Decision Support System (DSS) to aid decision-makers in selecting the most sustainable insulation materials and their thickness among commercially available alternatives. The developed DSS ranks available alternatives according to individual project cases by incorporating project information, material information, and the decision makers’ preferences. The methodology developed in this study utilizes the TOPSIS technique with Pareto search technique for multi-objective optimization. By limiting the alternatives to the ‘Pareto front’ for Life Cycle Assessment (LCA) and Life Cycle Cost (LCC), the study attempted to reduce subjectivity in the Multi-Criteria Decision-Making (MCDM) process. The suggested method is demonstrated in Excel and programmed with Python to implement a user interface for data input and output results. In addition, this study uses a product-specific Environmental Product Declaration (EPD) of material to calculate embodied energy in the Life Cycle Assessment (LCA). Also, the research provides understanding of the decision-making criteria for the sustainable selection of insulation materials, based on literature review and structured interviews with industry experts. The developed DSS has been validated by industry experts and tested with different inputs.

  • Subjects / Keywords
  • Graduation date
    Fall 2021
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/r3-w6x6-c376
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.