TY - JOUR
T1 - A Value-Based Decision-Making Model for Selecting Sustainable Materials for Buildings
AU - Ruslan, Amirul Afiq Bin
AU - Al-Atesh, Ezzaddin Abdullah
AU - Rahmawati, Yani
AU - Utomo, Christiono
AU - Zawawi, Noor Amila Wan Abdullah
AU - Jahja, Mohamad
AU - Raflis,
AU - Elmansoury, Ali
N1 - Publisher Copyright:
© 2021. All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - Nowadays, the earth faces problems and challenges from different circumstances due to the dramatic rise of urban modernization. The construction industry is the most contributor to climate change. Achieving sustainability in construction is complicated, but one of the most optimal strategies is selecting building materials with a lower carbon footprint. Therefore, this research aims to investigate the criteria for sustainable materials selection, rank and prioritize sustainable criteria, and developing value-based decision making. A mixed method was used to satisfy the objectives through an extensive literature review, surveys, and interviews with experts. The statistical descriptive was based on a scatter plot of mean and standard deviation, AHP judgment and Value-based decision-making using function over cost. There are two alternatives obtained in this study: Aluminum Composite Panel (ACP) and Stainless Steel. As a result, the suitable alternative for sustainable façade material is ACP based on value-based calculation. The tendency of choosing sustainable material depends on the stakeholders, owner of the building, designers, and others. The research is to show the way in selecting sustainable material by using value-based analysis. This study could expect to give feasibility and useful knowledge in solving problems and increase the use of sustainable materials in building construction. Future research may be conducted with different requirements for sustainable materials. AHP and Value-based analysis are structured technique that solves a complex problem easily using mathematics and psychology approach.
AB - Nowadays, the earth faces problems and challenges from different circumstances due to the dramatic rise of urban modernization. The construction industry is the most contributor to climate change. Achieving sustainability in construction is complicated, but one of the most optimal strategies is selecting building materials with a lower carbon footprint. Therefore, this research aims to investigate the criteria for sustainable materials selection, rank and prioritize sustainable criteria, and developing value-based decision making. A mixed method was used to satisfy the objectives through an extensive literature review, surveys, and interviews with experts. The statistical descriptive was based on a scatter plot of mean and standard deviation, AHP judgment and Value-based decision-making using function over cost. There are two alternatives obtained in this study: Aluminum Composite Panel (ACP) and Stainless Steel. As a result, the suitable alternative for sustainable façade material is ACP based on value-based calculation. The tendency of choosing sustainable material depends on the stakeholders, owner of the building, designers, and others. The research is to show the way in selecting sustainable material by using value-based analysis. This study could expect to give feasibility and useful knowledge in solving problems and increase the use of sustainable materials in building construction. Future research may be conducted with different requirements for sustainable materials. AHP and Value-based analysis are structured technique that solves a complex problem easily using mathematics and psychology approach.
KW - Sustainable façade material
KW - building industry
KW - decision making
KW - materials selection
UR - http://www.scopus.com/inward/record.url?scp=85122598213&partnerID=8YFLogxK
U2 - 10.18517/ijaseit.11.6.14411
DO - 10.18517/ijaseit.11.6.14411
M3 - Article
AN - SCOPUS:85122598213
SN - 2088-5334
VL - 11
SP - 2279
EP - 2286
JO - International Journal on Advanced Science, Engineering and Information Technology
JF - International Journal on Advanced Science, Engineering and Information Technology
IS - 6
ER -