On the use of multi-criteria decision making methods for minimizing environmental emissions in construction projects

This study presents a methodology that integrates multi-objective optimization and multi-criteria decision making (MCDM) in order to enable construction decision-makers to select the most sustainable construction alternatives. | On the use of multi-criteria decision making methods for minimizing environmental emissions in construction projects Decision Science Letters 8 2019 373 392 Contents lists available at GrowingScience Decision Science Letters homepage dsl On the use of multi-criteria decision making methods for minimizing environmental emissions in construction projects Mohamed Marzouka and Eslam Mohammed Abdelakderb aProfessor of construction Engineering and Management Structural Engineering Department Faculty of Engineering Cairo University Egypt . Candiate Department of Building Civil and Environmental Engineering Concordia University Montreal QC Canada CHRONICLE ABSTRACT Article history There are huge amounts of emissions associated with construction industry during its different Received June 1 2019 stages from cradle till building demolition. This study presents a methodology that integrates Received in revised format multi-objective optimization and multi-criteria decision making MCDM in order to enable June 2 2019 construction decision-makers to select the most sustainable construction alternatives. Four Accepted June 30 2019 Available online objectives functions are investigated which are construction time lifecycle cost environmental June 30 2019 impact and primary energy in order to construct the Pareto front. A novel hybrid MCDM is Keywords designed based on seven multi-criteria decision making techniques to select the best solution Environmental pollution among the set of the Pareto optimal solutions. Sensitivity analysis is performed in order to Construction industry determine the most sensitive attribute and construction stages that influence environmental Multi-objective optimization emissions. The analysis illustrates that WSM COPRAS and TOPSIS provided the best rankings Multi-criteria decision making of the alternatives primary energy is the most sensitive attribute for different MCDM methods. Pareto front Moreover PROMETHEE II is the

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