Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology

During last decade, design for deconstruction (DfD) has attracted the attention of researchers and project managers as an environmentally friendly alternative to the conventional demolition of buildings. Yet, the intensity of raw materials consumption, waste generation and greenhouse gas (GhG) emiss...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 40(2022), 4 vom: 25. Apr., Seite 410-419
1. Verfasser: Zoghi, Milad (VerfasserIn)
Weitere Verfasser: Rostami, Ghodsiyeh, Khoshand, Afshin, Motalleb, Fatemeh
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Schlagworte:Journal Article AHP Fuzzy-TOPSIS Kano model Material selection design for deconstruction (DfD) hybrid MCDM
LEADER 01000naa a22002652 4500
001 NLM324820038
003 DE-627
005 20231225191127.0
007 cr uuu---uuuuu
008 231225s2022 xx |||||o 00| ||eng c
024 7 |a 10.1177/0734242X211013904  |2 doi 
028 5 2 |a pubmed24n1082.xml 
035 |a (DE-627)NLM324820038 
035 |a (NLM)33928814 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Zoghi, Milad  |e verfasserin  |4 aut 
245 1 0 |a Material selection in design for deconstruction using Kano model, fuzzy-AHP and TOPSIS methodology 
264 1 |c 2022 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 11.03.2022 
500 |a Date Revised 31.05.2022 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a During last decade, design for deconstruction (DfD) has attracted the attention of researchers and project managers as an environmentally friendly alternative to the conventional demolition of buildings. Yet, the intensity of raw materials consumption, waste generation and greenhouse gas (GhG) emission in the construction industry proves that current methods of selecting building components have failed to make the deconstruction effectively feasible. Specifically, in the material selection process, most research studies concentrate on assessing environmental and economic aspects while in selecting material for DfD various factors must be considered. To overcome this gap, this study aims to propose a DfD-based material selection model which enables designers to choose materials that make the recyclability and reusability of building components feasible. To this end, the Kano model is first applied to categorize selection criteria identified via a questionnaire. After extracting the weights of criteria by using Fuzzy-Analytical Hierarchy Process, a Technique for Order Preference by Similarity to the Ideal Solution-based multi-criteria decision-making framework is proposed for choosing the best possible alternatives. Based on the research results, the framework enables designers to find decent materials in terms of DfD requirements. A numerical example is also provided to examine the proposed framework for selecting the most appropriate materials for walls 
650 4 |a Journal Article 
650 4 |a AHP 
650 4 |a Fuzzy-TOPSIS 
650 4 |a Kano model 
650 4 |a Material selection 
650 4 |a design for deconstruction (DfD) 
650 4 |a hybrid MCDM 
700 1 |a Rostami, Ghodsiyeh  |e verfasserin  |4 aut 
700 1 |a Khoshand, Afshin  |e verfasserin  |4 aut 
700 1 |a Motalleb, Fatemeh  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA  |d 1991  |g 40(2022), 4 vom: 25. Apr., Seite 410-419  |w (DE-627)NLM098164791  |x 1096-3669  |7 nnns 
773 1 8 |g volume:40  |g year:2022  |g number:4  |g day:25  |g month:04  |g pages:410-419 
856 4 0 |u http://dx.doi.org/10.1177/0734242X211013904  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 40  |j 2022  |e 4  |b 25  |c 04  |h 410-419