A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market

Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others)...

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Published in:	Applied sciences Vol. 10; no. 9; p. 3206
Main Authors:	Santos, Ricardo, Abreu, António, Soares, José, Mendes, Fernanda, Calado, João M.F.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2020
Subjects:	Appliance industry Appliances Computational intelligence Consumers Cost control Customer relations cyberphysical system Decision making decision support systems Ecolabeling Energy consumption Energy efficiency Energy use Environmental impact Game theory Genetic algorithms Green buildings Green market Households Investments Labeling lifecycle cost analysis (LCCA) Literature reviews Marketing Methods multi-attribute value theory (MAVT) Optimization techniques sustainability Sustainable development Technology application Portugal Europe
ISSN:	2076-3417, 2076-3417
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Abstract	Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer’s decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance’s industry.
AbstractList	Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer’s decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance’s industry. Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer's decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of C[O.sub.2] emissions) during the lifecycle of each appliance, chosen from the appliance's industry. Keywords: sustainability; energy efficiency; cyberphysical system; decision support systems; lifecycle cost analysis (LCCA); multi-attribute value theory (MAVT); multi-objective optimization; soft computing; evolutionary algorithm
Audience	Academic
Author	Santos, Ricardo Mendes, Fernanda Soares, José Abreu, António Calado, João M.F.
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SubjectTerms	Appliance industry Appliances Computational intelligence Consumers Cost control Customer relations cyberphysical system Decision making decision support systems Ecolabeling Energy consumption Energy efficiency Energy use Environmental impact Game theory Genetic algorithms Green buildings Green market Households Investments Labeling lifecycle cost analysis (LCCA) Literature reviews Marketing Methods multi-attribute value theory (MAVT) Optimization techniques sustainability Sustainable development Technology application
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Title	A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market
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