IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i1p245-d1558163.html
   My bibliography  Save this article

A Cost–Benefit Model for Sustainable Product Reuse and Repurposing in Circular Remanufacturing

Author

Listed:
  • Foivos Psarommatis

    (SIRIUS Labs, Department of Informatics, Oslo University of Oslo, 0313 Oslo, Norway
    Zerofect GmbH, Allenwiden, 6319 Baar, Switzerland)

  • Gokan May

    (Department of Mechanical Engineering, University of North Florida, Jacksonville, FL 32224-7634, USA)

Abstract

This study developed and validated cost–benefit models to evaluate the economic feasibility of reuse and repurposing strategies in remanufacturing, utilizing activity-based costing to assess key financial factors and implications. The models provide a structured approach to compare reuse, repurposing, and recycling, focusing on identifying conditions that maximize cost savings and reduce environmental impact. Reuse strategies emphasize scenarios requiring minimal maintenance to extend product life, while repurposing explores transformations for new applications when direct reuse is not feasible. By quantifying reuse and repurposing costs, the models help manufacturers identify sustainable lifecycle extensions that support circular economy principles. The results demonstrate that reuse and repurposing are particularly advantageous when products retain significant remaining useful life. These models serve as practical tools for industries aiming to implement resource-efficient practices that enhance both economic resilience and environmental sustainability. Furthermore, these models can be adapted for specific industrial applications and enhanced with real-world validation, providing companies with actionable insights to further refine cost-saving and environmental impact predictions. This study addresses gaps in the current literature by presenting tailored cost assessment tools for circular remanufacturing, promoting informed decision making for sustainable manufacturing.

Suggested Citation

  • Foivos Psarommatis & Gokan May, 2025. "A Cost–Benefit Model for Sustainable Product Reuse and Repurposing in Circular Remanufacturing," Sustainability, MDPI, vol. 17(1), pages 1-16, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:1:p:245-:d:1558163
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/1/245/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/1/245/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Foivos Psarommatis & Gökan May & Paul-Arthur Dreyfus & Dimitris Kiritsis, 2020. "Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mochammad Tutuk, 2023. "Mental Workload Analysis of Workers Using the Swedish Occupational Fatigue Index (SOFI) Method at A Job Shop, Sheet Metal, And Pipe Metal Manufacturing Company in Surabaya," Technium, Technium Science, vol. 16(1), pages 411-416.
    2. Metzker Soares, Paula & Thevenin, Simon & Adulyasak, Yossiri & Dolgui, Alexandre, 2024. "Adaptive robust optimization for lot-sizing under yield uncertainty," European Journal of Operational Research, Elsevier, vol. 313(2), pages 513-526.
    3. Rosmaini Ahmad & Rabiatul Fakhira Mohd Amin & Shaliza Azreen Mustafa, 2022. "Value stream mapping with lean thinking model for effective non-value added identification, evaluation and solution processes," Operations Management Research, Springer, vol. 15(3), pages 1490-1509, December.
    4. Gokan May & Foivos Psarommatis, 2023. "Maximizing Energy Efficiency in Additive Manufacturing: A Review and Framework for Future Research," Energies, MDPI, vol. 16(10), pages 1-28, May.
    5. Chang-Ho Lee & Dong-Hee Lee & Young-Mok Bae & Seung-Hyun Choi & Ki-Hun Kim & Kwang-Jae Kim, 2022. "Approach to derive golden paths based on machine sequence patterns in multistage manufacturing process," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 167-183, January.
    6. Yaoyao Ping & Yongkui Liu & Lin Zhang & Lihui Wang & Xun Xu, 2024. "Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3889-3916, December.
    7. Laurentiu Rece & Sorin Vlase & Daniel Ciuiu & Giorgian Neculoiu & Stefan Mocanu & Arina Modrea, 2022. "Queueing Theory-Based Mathematical Models Applied to Enterprise Organization and Industrial Production Optimization," Mathematics, MDPI, vol. 10(14), pages 1-32, July.
    8. Daria Kovalevskaya & Ann-Charlott Pedersen & Elsebeth Holmen & Aristidis Kaloudis & Geir Ringen, 2024. "Triads in Lean Management: Analyzing Buyer–Supplier-Supplier and Buyer–Supplier-Supplier’s Supplier Relationships for Zero-Defect Manufacturing," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 616-660, March.
    9. Eirini Katsidoniotaki & Foivos Psarommatis & Malin Göteman, 2022. "Digital Twin for the Prediction of Extreme Loads on a Wave Energy Conversion System," Energies, MDPI, vol. 15(15), pages 1-24, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:1:p:245-:d:1558163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.