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A Decision-Making Tool to Provide Sustainable Solutions to a Consumer

  • Ricardo SantosEmail author
  • J. C. O. Matias
  • Antonio Abreu
Conference paper
  • 64 Downloads
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 577)

Abstract

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.

Keywords

Decision support systems Consumer preferences Sustainability Multi-objective optimization Multi-Attribute Value Theory (MAVT) Evolutionary Algorithms Life Cycle Cost Analysis (LCCA) 

Notes

Acknowledgments

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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Copyright information

© IFIP International Federation for Information Processing 2020

Authors and Affiliations

  • Ricardo Santos
    • 1
    • 2
    Email author
  • J. C. O. Matias
    • 2
    • 3
    • 4
  • Antonio Abreu
    • 5
  1. 1.University of AveiroAveiroPortugal
  2. 2.GOVCOPPUniversity of AveiroAveiroPortugal
  3. 3.Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT)University of AveiroAveiroPortugal
  4. 4.C-MASTUniversity of Beira InteriorCovilhãPortugal
  5. 5.ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa CTS Uninova, Faculdade de Ciências e TecnologiaUniversidade Nova de LisboaLisbonPortugal

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