TY - GEN
T1 - A Decision-Making Tool to Provide Sustainable Solutions to a Consumer
AU - Santos, Ricardo
AU - Matias, João C. O.
AU - Abreu, Antonio
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Consumer preferences
KW - Decision support systems
KW - Evolutionary Algorithms
KW - Life Cycle Cost Analysis (LCCA)
KW - Multi-Attribute Value Theory (MAVT)
KW - Multi-objective optimization
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85084830716&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45124-0_6
DO - 10.1007/978-3-030-45124-0_6
M3 - Conference contribution
AN - SCOPUS:85084830716
SN - 978-3-030-45123-3
T3 - IFIP Advances in Information and Communication Technology
SP - 63
EP - 78
BT - Technological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Farhadi, Nastaran
A2 - Lopes, Fábio
A2 - Pereira, Helena
PB - Springer
CY - Cham
T2 - 11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020
Y2 - 1 July 2020 through 3 July 2020
ER -