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Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM)
被引:17
作者:
Amiri, Maghsoud
[1
]
Hashemi-Tabatabaei, Mohammad
[1
]
Ghahremanloo, Mohammad
[2
]
Keshavarz-Ghorabaee, Mehdi
[3
]
Zavadskas, Edmundas Kazimieras
[4
]
Kaklauskas, Arturas
[5
]
机构:
[1] Allameh Tabatabai Univ, Fac Management & Accounting, Dept Ind Management, Tehran 1434863111, Iran
[2] Shahrood Univ Technol, Fac Ind Engn & Management, Dept Management, Shahrood 3619995161, Iran
[3] Gonbad Kavous Univ, Fac Humanities, Dept Management, Azadshahr Branch, Gonbad Kavous 4971799151, Iran
[4] Vilnius Gediminas Tech Univ, Civil Engn Fac, Inst Sustainable Construct, Sauletekio Al 11, LT-10223 Vilnius, Lithuania
[5] Vilnius Gediminas Tech Univ, Dept Construct Management & Real Estate, Sauletekio Al 11, LT-10223 Vilnius, Lithuania
关键词:
life cycle of buildings;
multi-criteria decision-making (MCDM);
best-worst method (BWM);
simplified BWM;
quantitative-qualitative method (QQM);
pairwise comparisons;
DECISION-MAKING METHOD;
PERFORMANCE EVALUATION;
SUPPLIER SELECTION;
MODEL;
BWM;
SYSTEMS;
NUMBER;
MCDM;
D O I:
10.3390/su13084487
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Evaluating the life cycle of buildings is a valuable tool for assessing sustainability and analyzing environmental consequences throughout the construction operations of buildings. In this study, in order to determine the importance of building life cycle evaluation indicators, a new combination method was used based on a quantitative-qualitative method (QQM) and a simplified best-worst method (SBWM). The SBWM method was used because it simplifies BWM calculations and does not require solving complex mathematical models. Reducing the time required to perform calculations and eliminating the need for complicated computer software are among the advantages of the proposed method. The QQM method has also been used due to its ability to evaluate quantitative and qualitative criteria simultaneously. The feasibility and applicability of the SBWM were examined using three numerical examples and a case study, and the results were evaluated. The results of the case study showed that the criteria of the estimated cost, comfort level, and basic floor area were, in order, the most important criteria among the others. The results of the numerical examples and the case study showed that the proposed method had a lower total deviation (TD) compared to the basic BWM. Sensitivity analysis results also confirmed that the proposed approach has a high degree of robustness for ranking and weighting criteria.
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页数:28
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