Considering Appropriate Decision Support Models for Construction and Demolition Waste Management Optimization: Possibilities and Limitations

International Journal of Economics and Management Studies

© 2015 by SSRG - IJEMS Journal

Volume 2 Issue 10

Year of Publication : 2015

Authors : Abioye A. Oyenuga, Rao Bhamidiarri

10.14445/23939125/IJEMS-V2I5P103

How to Cite?

Abioye A. Oyenuga, Rao Bhamidiarri, "Considering Appropriate Decision Support Models for Construction and Demolition Waste Management Optimization: Possibilities and Limitations," SSRG International Journal of Economics and Management Studies, vol. 2,  no. 10, pp. 1-5, 2015. Crossref, https://doi.org/10.14445/23939125/IJEMS-V2I5P103

Abstract:

 Significant number of modelling tools and methods that can be used for decision-support on C&D waste management at various levels have been developed. Examples of available management tools include Cost Benefit Analysis (CBA), Life Cycle Assessment (LCA), Risk Assessment (RA), Material Flow Analysis (MFA), Multi-Criteria Decision Analysis (MCDA), Decision Support Systems (DSS), System Dynamics (SD) and other types of optimizing models etc. Diverse range of different waste management methods that are available may be unclear or rather too complex to use. There is a growing concern and an urgent need to consider the appropriateness and attributes of using different waste management tools in different scenarios are required. Thus, the attributes considered in this paper focused solely on impacts categories and the entity under study. This paper focused on providing practical guidelines for selecting appropriate models for C&D waste management optimization and also finds a broader understanding of the opportunities and limitations with available modelling tools in order to achieve a realistic and a more sustainable decision-support approach to C&D waste management.

Keywords:

construction and demolition (C&D) waste, decision support system, cost benefit analysis, life-cycle assessment, multi-criteria decision analysis, waste management.

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