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Prioritizing the effective strategies for construction and demolition waste management using fuzzy IDOCRIW and WASPAS methods

Maryam Eghbali-Zarch (School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran)
Reza Tavakkoli-Moghaddam (School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran)
Kazem Dehghan-Sanej (Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Amin Kaboli (School of Engineering, Institute of Mechanical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 13 April 2021

Issue publication date: 24 March 2022

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Abstract

Purpose

The construction industry is a key driver of economic growth. However, the adverse impacts of construction and demolition waste (CDW) resulted from the active construction projects on the economy, environment, public health and social life necessitates an appropriate control and management of this waste stream. Developing and promoting the construction and demolition waste management (CDWM) hierarchy program at the strategic level is essential.

Design/methodology/approach

This study aims to propose a hybrid decision model that hybridizes the Integrated Determination of Objective Criteria Weights (IDOCRIW) and weighted aggregated sum product assessment (WASPAS) under a fuzzy environment.

Findings

The proposed method ranks the potential strategic alternatives by the sustainable development criteria to improve the performance of CDWM. As indicated in the results, the fuzzy approach in the decision-making process enables the transformation of linguistic variables into fuzzy numbers that show uncertainty and ambiguity in real-world systems. Moreover, the close correlation between the final ranking of the proposed methodology and the average priority order of the strategic alternatives obtained by five different multi-criteria decision-making (MCDM) methods implies the validity of the model performance.

Practical implications

This proposed model is an appropriate tool to effectively decide on the development of CDWM from a strategic point of view. It aims to establish an MCDM framework for the evaluation of effective strategies for CDWM according to the indices of sustainable development. Implementing proper operational plans and conducting research in CDWM has the highest priority, and enacting new and more stringent laws, rules and regulations against the production of CDW has secondary priority. This study contributes to the field by optimizing the CDWM by applying the top-priority strategies resulted from the proposed fuzzy hybrid MCDM methodology by the decision-makers or policy-makers to reach the best managerial strategic plan.

Originality/value

In the proposed methodology, the IDOCRIW technique is utilized and updated with the triangular fuzzy numbers for the first time in the literature to derive the weights of sustainable development criteria. The fuzzy WASPAS method is utilized for evaluation and providing a final ranking of the strategic alternatives.

Keywords

Citation

Eghbali-Zarch, M., Tavakkoli-Moghaddam, R., Dehghan-Sanej, K. and Kaboli, A. (2022), "Prioritizing the effective strategies for construction and demolition waste management using fuzzy IDOCRIW and WASPAS methods", Engineering, Construction and Architectural Management, Vol. 29 No. 3, pp. 1109-1138. https://doi.org/10.1108/ECAM-08-2020-0617

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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