Article ID: | iaor201110357 |
Volume: | 31 |
Issue: | 12 |
Start Page Number: | 2497 |
End Page Number: | 2502 |
Publication Date: | Dec 2011 |
Journal: | Waste Management |
Authors: | Banias G, Achillas Ch, Vlachokostas Ch, Moussiopoulos N, Papaioannou I |
Keywords: | artificial intelligence: decision support, programming: mathematical, internet |
Wastes from construction activities constitute nowadays the largest by quantity fraction of solid wastes in urban areas. In addition, it is widely accepted that the particular waste stream contains hazardous materials, such as insulating materials, plastic frames of doors, windows, etc. Their uncontrolled disposal result to long‐term pollution costs, resource overuse and wasted energy. Within the framework of the DEWAM project, a web‐based Decision Support System (DSS) application – namely DeconRCM – has been developed, aiming towards the identification of the optimal construction and demolition waste (CDW) management strategy that minimises end‐of‐life costs and maximises the recovery of salvaged building materials. This paper addresses both technical and functional structure of the developed web‐based application. The web‐based DSS provides an accurate estimation of the generated CDW quantities of twenty‐one different waste streams (e.g. concrete, bricks, glass, etc.) for four different types of buildings (residential, office, commercial and industrial). With the use of mathematical programming, the DeconRCM provides also the user with the optimal end‐of‐life management alternative, taking into consideration both economic and environmental criteria. The DSS’s capabilities are illustrated through a real world case study of a typical five floor apartment building in Thessaloniki, Greece.