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Sustainability Considerations in the Product Design Using System Dynamics and Fuzzy Cognitive Maps

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Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) (SoCPaR 2020)

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Abstract

Globally, sustainable product design is an issue that has been receiving more academic attention around the world. Understanding the sustainability-related design decisions seems to be important to ensuring sustainable design. Based on a stance, this study attempted to quantify sustainability factors in the product design through a hybrid method which combines the fuzzy cognitive mapping (FCM) and the system dynamics (SD) approaches. Designer behavior with regard to sustainability criteria was simulated in Vensim and sourced through sessions of two groups who deal with sustainable design. The results provide an easy-to-understand model of sustainable design to help designers analyze the dynamics of the cause-and-effect relationships between factors of sustainable design and long term scenarios, therefore, different scenarios at the inter and intra-cluster levels were built to determine the impacts of variable changes on the model developed.

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References

  1. Abramova, N.: The cognitive approach to the problem of identification validity in cognitive mapping. IFAC-PapersOnLine 49(12), 586–591 (2016)

    Article  Google Scholar 

  2. Azadeh, A., Ziaei, B., Moghaddam, M.: A hybrid fuzzy regression-fuzzy cognitive map algorithm for forecasting and optimization of housing market fluctuations. Expert Syst. Appl. 39(1), 298–315 (2012). https://doi.org/10.1016/j.eswa.2011.07.020

    Article  Google Scholar 

  3. Brundland, G.: World Commission on Environment and Development. Our Common Future Oxford, University Press, Oxford (1987)

    Google Scholar 

  4. Ferreira, F, Ferreira, J, Fernandes, C, Meidutė-Kavaliauskienė, I., Jalali, M.: Enhancing knowledge and strategic planning of bank customer loyalty using fuzzy cognitive maps. Technol. Econ. Dev. Econ. 23(6), 860–876 (2017). https://doi.org/10.3846/20294913.2016.1213200

  5. Forrester, J.: Principles of Systems. Wright allen press, Cambridge (1968)

    Google Scholar 

  6. Forrester, J.: Industrial Dynamics. The MIT Press, Massachusetts (1961)

    Google Scholar 

  7. Hoffenson, S., Dagman, A., Söderberg, R.: Visual quality and sustainability considerations in tolerance optimization: a market-based approach. Int. J. Prod. Econ. 168, 167–180 (2015)

    Article  Google Scholar 

  8. Kok, K.: The potential of fuzzy cognitive maps for semiquantitative scenario development, with an example from Brazil. Global Environ. Change. 19(1), 122–133 (2019). https://doi.org/10.1016/j.gloenvcha.2008.08.003

  9. Kosko, B.: Fuzzy cognitive maps. Int. J. Man. Mach. Stud. 24(1), 65–75 (1986). https://doi.org/10.1016/S0020-7373(86)80040-2

    Article  MATH  Google Scholar 

  10. Limnios, E.A.M., et al.: Giving the consumer the choice: a methodology for Product ecological footprint calculation. Ecol. Econ. 68(10), 2525–2534 (2009)

    Article  Google Scholar 

  11. Marques, F.C., Ferreira, F.A., Zopounidis, C., Banaitis, A.: A system dynamics-based approach to factors of family business growth. Ann. Oper. Res. 1–21 (2020)

    Google Scholar 

  12. Santos, F., Ferreira, F., Meidutė-Kavaliauskienė, I.: Perceived key factors of payment instrument usage: a fuzzy cognitive mapping-based approach. Technol. Econ. Dev. Econ. 24(3), 950–968 (2018). https://doi.org/10.3846/20294913.2016.1261374

  13. Salmeron, J., Mansouri, T., Reza, M., Moghadam, S., Mardani, A.: Learning fuzzy cognitive maps with modified a sexual reproduction optimization algorithm. Knowl. Based Syst. 163, 723–735 (2019). https://doi.org/10.1016/j.knosys.2018.09.034

  14. Sahebjamnia, N., Goodarzian, F., Hajiaghaei-Keshteli, M.: Optimization of multi-period three-echelon citrus supply chain problem. J. Optim. Ind. Eng. 13(1), 39–53 (2020)

    Google Scholar 

  15. Goodarzian, F., Hosseini-Nasab, H.: Applying a fuzzy multi-objective model for a production–distribution network design problem by using a novel self-adoptive evolutionary algorithm. Int. J. Syst. Sci. Oper. Logistics, 1–22 (2019)

    Google Scholar 

  16. Fakhrzad, M.B., Goodarzian, F.: A fuzzy multi-objective programming approach to develop a green closed-loop supply chain network design problem under uncertainty: modifications of imperialist competitive algorithm. RAIRO-Oper. Res. 53(3), 963–990 (2019)

    Article  MathSciNet  Google Scholar 

  17. Fakhrzad, M.B., Talebzadeh, P., Goodarzian, F.: Mathematical formulation and solving of green closed-loop supply chain planning problem with production, distribution and transportation reliability. Int. J. Eng. 31(12), 2059–2067 (2018)

    Google Scholar 

  18. Goodarzian, F., Hosseini-Nasab, H., Muñuzuri, J., Fakhrzad, M.B.: A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: a comparison of meta-heuristics. Appl. Soft Comput. 92 106331 (2020)

    Google Scholar 

  19. Fakhrzad, M.B., Goodarzian, F., Golmohammadi, A.M.: Addressing a fixed charge transportation problem with multi-route and different capacities by novel hybrid meta-heuristics. J. Ind. Syst. Eng. 12(1), 167–184 (2019)

    Google Scholar 

  20. Goodarzian, F., Hosseini-Nasab, H., Fakhrzad, M.B.: A multi-objective sustainable medicine supply chain network design using a novel hybrid multi-objective metaheuristic algorithm. Int. J. Eng. 33(10), 1986–1995 (2020)

    Google Scholar 

  21. Fakhrzad, M.B., Goodarzian, F.: A new multi-objective mathematical model for a Citrus supply chain network design: Metaheuristic algorithms. J. Optim. Ind. Eng. (2020). https://doi.org/10.22094/JOIE.2020.570636.1571

  22. Fathollahi-Fard, A.M., Ahmadi, A., Goodarzian, F., Cheikhrouhou, N.: A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment. Appl. Soft Comput. 93, 106385 (2020)

    Google Scholar 

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Correspondence to Hasan Hosseini-Nasab .

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Mohagheghian, E., Hosseini-Nasab, H., Abraham, A., Fakhrzad, MB. (2021). Sustainability Considerations in the Product Design Using System Dynamics and Fuzzy Cognitive Maps. In: Abraham, A., et al. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). SoCPaR 2020. Advances in Intelligent Systems and Computing, vol 1383. Springer, Cham. https://doi.org/10.1007/978-3-030-73689-7_37

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