International Journal of Advanced Engineering Application

ISSN: 3048-6807

Fuzzy Logic-Based Assessment of Circular Economy Maturity in Manufacturing Companies

Author(s):Ravi K. Mehta1, Priya R. Sharma2, Neelam S. Patil3, Rahul D. Joshi4

Affiliation: 1,2,3,4,Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

Page No: 19-26

Volume issue & Publishing Year: Volume 1 Issue 8,Dec-2024

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

Download PDF

Abstract:
The shift from linear to circular value creation is driving a fundamental transformation across all sectors of manufacturing organizations. While maturity models are commonly used to assess and support this transition, they often lack comprehensiveness and the capacity to handle uncertainty. To overcome these limitations, this paper proposes a holistic Fuzzy Logic-based approach for assessing Circular Economy maturity. Circular Economy maturity indicators are processed through a multi-stage fuzzy system, enabling the identification of potential areas for change within the organization. This approach provides actionable insights to enhance the organization�s circularity.

Keywords: Circular Economy, Maturity Assessment, Fuzzy Logic, Manufacturing

Reference:

  • [1] J. Kirchherr, D. Reike, and M. Hekkert, “Conceptualizing the circular economy: An analysis of 114 definitions,” Resources, Conservation and Recycling, vol. 127, pp. 221–232, 2017.
  • [2] N. M. P. Bocken, E. Bakker, and I. D. Pauw, “Product design and business model strategies for a circular economy,” J. Ind. Prod. Eng., vol. 33, no. 5, pp. 308–320, 2016.
  • [3] Ellen MacArthur Foundation, Towards the Circular Economy: Economic and Business Rationale for an Accelerated Transition, 2013.
  • [4] M. Geissdoerfer, P. Savaget, N. M. P. Bocken, and E. J. Hultink, “The circular economy – A new sustainability paradigm?,” J. Cleaner Prod., vol. 143, pp. 757–768, 2017.
  • [5] T. C. Kuo and Y. S. Yang, “Circular economy models for sustainability,” Resources, vol. 9, no. 6, p. 50, 2020.
  • [6] S. Bernerstätter and L. Jording, “Maturity models in the context of sustainability and circular economy: A systematic review,” Sustainability, vol. 11, no. 12, p. 3395, 2019.
  • [7] S. Cao and X. Yan, “Fuzzy logic-based decision-making for evaluating sustainability in the circular economy,” Sustainability, vol. 11, no. 3, p. 535, 2019.
  • [8] Y. Zhang and X. Chen, “Fuzzy logic approach to evaluate circular economy maturity,” J. Cleaner Prod., vol. 258, p. 120585, 2020.
  • [9] J. Liu and W. J. Phillis, “A systems approach to sustainable development: Fuzzy logic modelling,” Ecol. Econ., vol. 120, pp. 1–9, 2015.
  • [10] Y. Cao and H. Yu, “A fuzzy logic-based evaluation method for circular economy maturity of enterprises,” Int. J. Environ. Res. Public Health, vol. 18, no. 9, p. 4716, 2021.
  • [11] P. Bitter and V. Kouloumpis, “Fuzzy logic systems in sustainability assessment,” Sustainability Sci., vol. 11, no. 3, pp. 457–472, 2016.
  • [12] A. Kreutzer and S. Mihaylov, “Evaluating circular economy maturity in manufacturing industries,” Int. J. Prod. Econ., vol. 204, pp. 129–139, 2018.
  • [13] V. Kouloumpis and K. Vlachou, “Multi-dimensional decision-making with fuzzy logic for sustainability,” Fuzzy Optim. Decis. Making, vol. 14, no. 3, pp. 265–285, 2015.
  • [14] W. Liu and W. J. Phillis, “Multi-criteria decision-making for sustainable systems with fuzzy logic,” Energy Policy, vol. 75, pp. 72–80, 2015.
  • [15] S. Y. Lee and K. S. Rha, “Maturity models for circular economy adoption: A systematic review and future directions,” Sustainable Dev., vol. 28, no. 6, pp. 1544–1563, 2020.
  • [16] R. G. G. Caiado and F. Figueiredo, “Assessment of circular economy maturity of manufacturing companies,” Resources, Conservation and Recycling, vol. 127, pp. 25–35, 2017.
  • [17] E. MacArthur, Towards the Circular Economy: A New Business Model, Ellen MacArthur Foundation, 2013.
  • [18] V. Kouikoglou and A. Syntetos, “Maturity assessment frameworks for sustainable and circular manufacturing,” Sustainability, vol. 11, no. 5, p. 1339, 2019.
  • [19] H. Tohidi and M. Jabbari, “Fuzzy logic in circular economy and sustainability,” Sustainability, vol. 11, no. 14, p. 3847, 2019.
  • [20] L. Zhang and Q. Li, “An integrated fuzzy logic model for evaluating circular economy in manufacturing industries,” Int. J. Environ. Res. Public Health, vol. 17, no. 18, p. 6611, 2020.
  • [21] V. Rizos and A. Behrens, “The circular economy: A new sustainable growth path?,” Resources, Conservation and Recycling, vol. 128, pp. 122–131, 2017.
  • [22] J. Korhonen and A. Honkasalo, “Circular economy: The concept and its applications,” J. Cleaner Prod., vol. 174, pp. 1–10, 2018.
  • [23] S. Prendeville and L. Hartley, “Circular economy maturity models: A comparison of evaluation methods,” Bus. Strategy Environ., vol. 27, no. 7, pp. 835–850, 2018.
  • [24] M. Lieder and A. Rashid, “Towards circular economy implementation in manufacturing industries,” Sustainability, vol. 8, no. 1, p. 76, 2016.
  • [25] D. Reike and W. J. V. Vermeulen, “Maturity models for the circular economy: A critical review,” J. Cleaner Prod., vol. 276, p. 124178, 2020.
  • [26] H. Kim and K. Lee, “Fuzzy evaluation of circular economy maturity: A hybrid approach,” Expert Syst. Appl., vol. 147, p. 113210, 2020.
  • [27] R. Kharabsheh, “Using fuzzy logic to assess circular economy maturity: A systematic review,” Circular Economy and Sustainability, vol. 2, no. 1, pp. 72–83, 2021.
  • [28] S. Chabbi and S. Roudier, “Modelling sustainability in the context of circular economy: Fuzzy logic approach,” Sustainable Dev., vol. 25, no. 6, pp. 568–578, 2017.
  • [29] S. Zeng and C. Zhang, “Developing circular economy maturity models in manufacturing companies,” Sustainability, vol. 12, no. 5, p. 1499, 2020.
  • [30] J. F. De Medeiros and F. M. da Silva, “Circular economy maturity models: A systematic literature review,” Sustainability, vol. 13, no. 10, p. 5433, 2021.
  • [31] R. Rachman and R. Maulana, “Fuzzy logic methods in circular economy sustainability assessment,” Environ. Manage. Sustainable Dev., vol. 9, no. 2, pp. 123–138, 2020.
  • [32] Y. Geng and B. Doberstein, “Circular economy in China: A critical review,” Resources, Conservation and Recycling, vol. 100, pp. 292–305, 2020.
  • [33] M. Yildiz and M. Çelik, “Fuzzy logic-based sustainability assessment in manufacturing industries,” Fuzzy Sets Syst., vol. 394, pp. 1–22, 2020.
  • [34] K. Beck and V. Blok, “A comprehensive model for circular economy maturity,” J. Ind. Ecol., vol. 24, no. 5, pp. 925–936, 2020.
  • [35] P. D. Lopes and N. Bocken, “Circular economy maturity models: A conceptual framework,” Bus. Strategy Environ., vol. 30, no. 4, pp. 1870–1885, 2021.
  • [36] M. Ahmadi and M. Llopis, “A fuzzy system approach for sustainable circular economy in manufacturing,” Sustainability, vol. 10, no. 12, p. 4480, 2018.
  • [37] D. C. A. Pigosso and T. C. McAloone, “Circular economy maturity assessment framework,” J. Cleaner Prod., vol. 195, pp. 323–335, 2018.
  • [38] Y. Tan and C. J. C. Jabbour, “Assessing circular economy practices in manufacturing industries,” Sustainability, vol. 11, no. 22, p. 6392, 2019.