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Smart Sustainable Disassembly Systems for Circular Economy

Author

Listed:
  • Marina Crnjac Žižić

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boskovica 32, 21000 Split, Croatia)

  • Amanda Aljinović Meštrović

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boskovica 32, 21000 Split, Croatia)

  • Marko Mladineo

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boskovica 32, 21000 Split, Croatia)

  • Nikola Gjeldum

    (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, R. Boskovica 32, 21000 Split, Croatia)

Abstract

Today’s economic systems are characterized by overproduction, rapid changes in consumer preferences and the intensive exploitation of natural resources. For this reason, the idea of the circular economy has emerged in recent years as a key strategy for tackling environmental, social and resource problems. At the same time, manufacturers are increasingly trying to fulfill customer requirements, so that products are becoming ever more personalized. This increasing focus on individuality is leading to greater variability in design, while at the same time the complexity of product structures and components is increasing, which poses major challenges for production and assembly processes. Understanding this complexity helps in finding the most effective ways for the disassembly process to enable reuse, repair and high-quality recycling, which are among the key principles of the circular economy. This not only supports environmental and resource sustainability, but also contributes to long-term competitiveness and climate neutrality in manufacturing. This paper outlines how complexity is defined and how this parameter can be used to obtain an optimal solution for minimizing product complexity and maximizing the number of disassembled parts. This problem was modeled using linear programming, where the optimal disassembly sequence was defined taking into account variables and constraints such as the time available within a working day and the complexity of the sub-assemblies. The results showed that the process can be significantly optimized if clear variables and targets are defined.

Suggested Citation

  • Marina Crnjac Žižić & Amanda Aljinović Meštrović & Marko Mladineo & Nikola Gjeldum, 2025. "Smart Sustainable Disassembly Systems for Circular Economy," Sustainability, MDPI, vol. 17(18), pages 1-18, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8289-:d:1750001
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    References listed on IDEAS

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    1. Vladimir Modrak & Zuzana Soltysova, 2017. "Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators," Complexity, Hindawi, vol. 2017, pages 1-15, June.
    2. Park, Kijung & Okudan Kremer, Gül E., 2015. "Assessment of static complexity in design and manufacturing of a product family and its impact on manufacturing performance," International Journal of Production Economics, Elsevier, vol. 169(C), pages 215-232.
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