BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components

Abdulwahed Fazeli, Farzad Jalaei, Mostafa Khanzadi, Saeed Banihashemi

Research output: Contribution to journalArticle

Abstract

Existence of diverse sustainable materials with distinctive features causes more difficult decision makings for project teams especially when it is intended to use ideal materials from diverse types of sustainable products. Few research studies have been conducted so far on applying Building Information Modeling (BIM) to act as Decision Support System (DSS) using of math works functions and tools in combination with Multiple Criteria Decision-Making (MCDM) techniques. The main purpose of this study is to propose a methodology that integrates BIM with decision-making and problem-solving approaches including Fuzzy and TOPSIS in order to efficiently optimize the selection of sustainable building components at the conceptual design stage of building projects. To select the optimum building components, each item is assessed against three major attributes of decision criteria as Design, Economic and Quality factors, which are applied in Multiple Attribute Decision Support System (MADSS) methodology to indicate the various performance of buildings sustainability. This BIM-integrated process is linked to the engine of Matlab software to apply Fuzzy functions on the users’ priority in order to automatically suggest the ideal solutions. The design alternatives suggested by Matlab is validated by Life Cycle Cost (LCC) method to analyze the operational cost of an actual building project. Using this innovative method will make the decision-making procedure more convenient as well as proposing more realistic and reliable final and sustainable optimized choice.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalInternational Journal of Construction Management
DOIs
Publication statusE-pub ahead of print - 14 Nov 2019

Fingerprint

Decision making
Decision support systems
Conceptual design
Costs
Sustainable development
Life cycle
Engines
Economics
Fuzzy TOPSIS
Integrated
Information modeling

Cite this

@article{6cf797d3e1b841e6848de6f76adf57e1,
title = "BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components",
abstract = "Existence of diverse sustainable materials with distinctive features causes more difficult decision makings for project teams especially when it is intended to use ideal materials from diverse types of sustainable products. Few research studies have been conducted so far on applying Building Information Modeling (BIM) to act as Decision Support System (DSS) using of math works functions and tools in combination with Multiple Criteria Decision-Making (MCDM) techniques. The main purpose of this study is to propose a methodology that integrates BIM with decision-making and problem-solving approaches including Fuzzy and TOPSIS in order to efficiently optimize the selection of sustainable building components at the conceptual design stage of building projects. To select the optimum building components, each item is assessed against three major attributes of decision criteria as Design, Economic and Quality factors, which are applied in Multiple Attribute Decision Support System (MADSS) methodology to indicate the various performance of buildings sustainability. This BIM-integrated process is linked to the engine of Matlab software to apply Fuzzy functions on the users’ priority in order to automatically suggest the ideal solutions. The design alternatives suggested by Matlab is validated by Life Cycle Cost (LCC) method to analyze the operational cost of an actual building project. Using this innovative method will make the decision-making procedure more convenient as well as proposing more realistic and reliable final and sustainable optimized choice.",
keywords = "Building Information Modeling (BIM), Fuzzy-TOPSIS, Multiple Attribute Decision Support System (MADSS), sustainable building components",
author = "Abdulwahed Fazeli and Farzad Jalaei and Mostafa Khanzadi and Saeed Banihashemi",
year = "2019",
month = "11",
day = "14",
doi = "10.1080/15623599.2019.1686836",
language = "English",
pages = "1--20",
journal = "International Journal of Construction Management",
issn = "1562-3599",
publisher = "Taylor and Francis Ltd.",

}

BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components. / Fazeli, Abdulwahed; Jalaei, Farzad; Khanzadi, Mostafa; Banihashemi, Saeed.

In: International Journal of Construction Management, 14.11.2019, p. 1-20.

Research output: Contribution to journalArticle

TY - JOUR

T1 - BIM-integrated TOPSIS-Fuzzy framework to optimize selection of sustainable building components

AU - Fazeli, Abdulwahed

AU - Jalaei, Farzad

AU - Khanzadi, Mostafa

AU - Banihashemi, Saeed

PY - 2019/11/14

Y1 - 2019/11/14

N2 - Existence of diverse sustainable materials with distinctive features causes more difficult decision makings for project teams especially when it is intended to use ideal materials from diverse types of sustainable products. Few research studies have been conducted so far on applying Building Information Modeling (BIM) to act as Decision Support System (DSS) using of math works functions and tools in combination with Multiple Criteria Decision-Making (MCDM) techniques. The main purpose of this study is to propose a methodology that integrates BIM with decision-making and problem-solving approaches including Fuzzy and TOPSIS in order to efficiently optimize the selection of sustainable building components at the conceptual design stage of building projects. To select the optimum building components, each item is assessed against three major attributes of decision criteria as Design, Economic and Quality factors, which are applied in Multiple Attribute Decision Support System (MADSS) methodology to indicate the various performance of buildings sustainability. This BIM-integrated process is linked to the engine of Matlab software to apply Fuzzy functions on the users’ priority in order to automatically suggest the ideal solutions. The design alternatives suggested by Matlab is validated by Life Cycle Cost (LCC) method to analyze the operational cost of an actual building project. Using this innovative method will make the decision-making procedure more convenient as well as proposing more realistic and reliable final and sustainable optimized choice.

AB - Existence of diverse sustainable materials with distinctive features causes more difficult decision makings for project teams especially when it is intended to use ideal materials from diverse types of sustainable products. Few research studies have been conducted so far on applying Building Information Modeling (BIM) to act as Decision Support System (DSS) using of math works functions and tools in combination with Multiple Criteria Decision-Making (MCDM) techniques. The main purpose of this study is to propose a methodology that integrates BIM with decision-making and problem-solving approaches including Fuzzy and TOPSIS in order to efficiently optimize the selection of sustainable building components at the conceptual design stage of building projects. To select the optimum building components, each item is assessed against three major attributes of decision criteria as Design, Economic and Quality factors, which are applied in Multiple Attribute Decision Support System (MADSS) methodology to indicate the various performance of buildings sustainability. This BIM-integrated process is linked to the engine of Matlab software to apply Fuzzy functions on the users’ priority in order to automatically suggest the ideal solutions. The design alternatives suggested by Matlab is validated by Life Cycle Cost (LCC) method to analyze the operational cost of an actual building project. Using this innovative method will make the decision-making procedure more convenient as well as proposing more realistic and reliable final and sustainable optimized choice.

KW - Building Information Modeling (BIM)

KW - Fuzzy-TOPSIS

KW - Multiple Attribute Decision Support System (MADSS)

KW - sustainable building components

UR - http://www.scopus.com/inward/record.url?scp=85075385625&partnerID=8YFLogxK

UR - https://doi.org/10.1080/15623599.2019.1686836

UR - http://www.mendeley.com/research/bimintegrated-topsisfuzzy-framework-optimize-selection-sustainable-building-components

U2 - 10.1080/15623599.2019.1686836

DO - 10.1080/15623599.2019.1686836

M3 - Article

SP - 1

EP - 20

JO - International Journal of Construction Management

JF - International Journal of Construction Management

SN - 1562-3599

ER -