Title: A planning optimisation framework for construction and demolition waste management

Authors: Anastasios Xanthopoulos; Dimitrios Aidonis; Dimitrios Vlachos; Eleftherios Iakovou

Addresses: Industrial Management Division, Department of Mechanical Engineering, Aristotle University of Thessaloniki, P.O. Box 461, Thessaloniki 54124, Greece ' Industrial Management Division, Department of Mechanical Engineering, Aristotle University of Thessaloniki, P.O. Box 461, Thessaloniki 54124, Greece ' Industrial Management Division, Department of Mechanical Engineering, Aristotle University of Thessaloniki, P.O. Box 461, Thessaloniki 54124, Greece ' Industrial Management Division, Department of Mechanical Engineering, Aristotle University of Thessaloniki, P.O. Box 461, Thessaloniki 54124, Greece

Abstract: The goal of this paper is to present a new planning optimisation framework for the disassembly processes of an end-of-life (EOL) building, by explicitly taking into account, as an input, its bill of materials. When disassembling an EOL building, there is the option either to selectively deconstruct specific components and materials for reuse and recycling, respectively, while demolishing the remainder of the building, or to further continue the deconstruction process and postpone the demolition of the building for a later stage. In this context, we present a novel, integrated, decision-making model for the entire construction and demolition supply chain, starting from the optimisation of the on-site deconstruction and demolition decisions till the delivery of the collected components and materials to potential recyclers/customers and landfills. An application of the developed methodology is demonstrated via a specific case study, while the relative obtained managerial insights, regarding the behaviour of the optimal solution, are presented.

Keywords: reverse logistics; end-of-life buildings; EOL buildings; deconstruction and demolition planning; reuse; recycling; binary programming; bill of materials; BOM; construction waste; demolition waste; waste management; disassembly; decision making; modelling.

DOI: 10.1504/IJISE.2012.045675

International Journal of Industrial and Systems Engineering, 2012 Vol.10 No.3, pp.257 - 276

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 15 Feb 2012 *

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