According to some existed studies, one of the economic sectors to achieve sustainability, is the household appliance sector. However, given the different issues (e.g. energy and water consumption, reliability, initial cost, design, noise, illuminance, etc.) to be considered, together with the existence of several brands and models from the market, brings some difficulties to a consumer, who wants to reach a good compromise between them, given its concerns, regarding each dimension of sustainability, namely; economic, social and environmental. By using multi-attribute value theory, combined with Evolutionary Algorithms (EA), it’s possible to achieve sustainable solutions from the market. In this work, it’s presented an approach to support a consumer, by achieving a set of sustainable household appliances from the market, based on its preferences and needs. A case study shall be used, to give an example of a global solution, where several benefits are achieved, including environment and economic ones.
Decision support systems Consumer preferences Sustainability Multi-objective optimization Multi-Attribute Value Theory (MAVT) Evolutionary Algorithms Life Cycle Cost Analysis (LCCA)
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This work was partially supported by the Fundação para a Ciência e Tecnologia, UIDB/00066/2020 (CTS – Center of Technology and Systems).
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