| Abstrakt: |
The management of building end-of-life is a significant environmental concern in the construction industry. It is a complex topic due to the diverse decision alternatives for on-site work and waste management, which have varying effects on economic, work duration, and environmental performance. Generalizing practices is complicated by their dependence on the specific case. This paper proposes a many-objective optimization model to support companies responsible for demolition, deconstruction, or renovation. The model takes into account six objectives: cost, delay, landfill rate, resource damage, ecosystem quality, and human health. The last three objectives are based on Life Cycle Assessment (LCA). The model incorporates several constraints to guarantee operational solutions. To enable quick and easy instantiation of the model for any new demolition project, it considers three types of data: decision variables for optimization, professional data valid across various study cases, and study case parameters specific to the project at hand. The optimization process uses the DBEA genetic algorithm. The model was tested on a real study case and generated a set of Pareto-optimal solutions. To assess the relevance of these solutions, an expert examined and verified their usefulness and feasibility. The range of solutions provided by the model is beneficial for experts as it provides new perspectives and opportunities to explore innovative strategies. [ABSTRACT FROM AUTHOR] |
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