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...

Full description

Saved in:
Bibliographic Details
Published in:Waste management & research 2022-04, Vol.40 (4), p.410-419
Main Authors: Zoghi, Milad, Rostami, Ghodsiyeh, Khoshand, Afshin, Motalleb, Fatemeh
Format: Article
Language:English
Subjects:
Analytic hierarchy process
Building components
Construction Industry
Construction Materials
Decision making
Deconstruction
Design
Designers
Greenhouse gases
Materials selection
Multiple criterion
Nigeria
Raw materials
Recyclability
Surveys and Questionnaires
Waste Management
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0734-242X
1096-3669
DOI:10.1177/0734242X211013904