IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i14p3041-d1189871.html
   My bibliography  Save this article

Optimal Circular Economy and Process Maintenance Strategies for an Imperfect Production–Inventory Model with Scrap Returns

Author

Listed:
  • Rung-Hung Su

    (Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan)

  • Ming-Wei Weng

    (Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung 413310, Taiwan)

  • Chih-Te Yang

    (Department of Business Administration, Tamkang University, New Taipei City 251301, Taiwan)

  • Chia-Hsuan Hsu

    (Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 242062, Taiwan)

Abstract

To protect our environment, current firms are committed to the circular economy and process maintenance strategies to reduce the waste of resources. In this way, they can also save costs and create an enterprise image and value. Therefore, this study explores an imperfect production system with a circular economy and process maintenance activities, wherein the defective products can be converted into scrap returns (i.e., secondary raw materials) and products can be manufactured using mixed materials containing scrap returns. The proposed system considers multiple products with varying feed rates of scrap returns. According to the scenario of the aforementioned production system, this paper develops a production–inventory model aimed at cost minimization, in which the production run time, purchased quantity of material, number of maintenance times, and recovery rate are decision variables. Furthermore, we also develop a computational algorithm to obtain these optimal solutions efficiently. Finally, the numerical and sensitivity analyses based on a practical case are presented to illustrate the applicability of our method and some managerial implications. For example, both strategies efficiently reduce the total cost per unit time in the proposed numerical example. The sensitivity results can be used to determine the optimal combination of two strategies and the execution moment under various changes in cost parameters.

Suggested Citation

  • Rung-Hung Su & Ming-Wei Weng & Chih-Te Yang & Chia-Hsuan Hsu, 2023. "Optimal Circular Economy and Process Maintenance Strategies for an Imperfect Production–Inventory Model with Scrap Returns," Mathematics, MDPI, vol. 11(14), pages 1-16, July.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:14:p:3041-:d:1189871
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/14/3041/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/14/3041/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Darwish, M.A. & Ben-Daya, M., 2007. "Effect of inspection errors and preventive maintenance on a two-stage production inventory system," International Journal of Production Economics, Elsevier, vol. 107(1), pages 301-313, May.
    2. Bikash Koli Dey & Sarla Pareek & Muhammad Tayyab & Biswajit Sarkar, 2021. "Autonomation policy to control work-in-process inventory in a smart production system," International Journal of Production Research, Taylor & Francis Journals, vol. 59(4), pages 1258-1280, February.
    3. Hongfu Huang & Yong He & Dong Li, 2018. "Coordination of pricing, inventory, and production reliability decisions in deteriorating product supply chains," International Journal of Production Research, Taylor & Francis Journals, vol. 56(18), pages 6201-6224, September.
    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. Bikash Koli Dey & Hyesung Seok, 2024. "Intelligent inventory management with autonomation and service strategy," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 307-330, January.
    2. Johannes Freiesleben & Nicolas Gu'erin, 2015. "Homogenization and Clustering as a Non-Statistical Methodology to Assess Multi-Parametrical Chain Problems," Papers 1505.03874, arXiv.org, revised Dec 2017.
    3. Raunaq Srivastav & Pritee Ray, 2020. "Contracts Choice in Retailer-led Supply Chain," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(1), pages 77-90, June.
    4. W. Pearn & R. Su & M. Weng & C. Hsu, 2011. "Optimal production run time for two-stage production system with imperfect processes and allowable shortages," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 533-545, December.
    5. Sarkar, Biswajit & Saren, Sharmila, 2016. "Product inspection policy for an imperfect production system with inspection errors and warranty cost," European Journal of Operational Research, Elsevier, vol. 248(1), pages 263-271.
    6. Arab Momeni, Mojtaba & Bagheri, Mehdi, 2022. "Shared warehouse as an inter-supply chain cooperation strategy to reduce the time-dependent deterioration costs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    7. Ying Ye & Kwok Hung Lau, 2022. "Competitive Green Supply Chain Transformation with Dynamic Capabilities—An Exploratory Case Study of Chinese Electronics Industry," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    8. Da Wen & Pan Ershun & Wang Ying & Liao Wenzhu, 2016. "An economic production quantity model for a deteriorating system integrated with predictive maintenance strategy," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1323-1333, December.
    9. Rini & Priyamvada & Chandra K. Jaggi, 2021. "Sustainable and flexible production system for a deteriorating item with quality consideration," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(5), pages 951-960, October.
    10. Gábor Szabó-Szentgróti & Bence Végvári & József Varga, 2021. "Impact of Industry 4.0 and Digitization on Labor Market for 2030-Verification of Keynes’ Prediction," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    11. Sun, Xiaojie & Tang, Wansheng & Chen, Jing & Zhang, Jianxiong, 2020. "Optimal investment strategy of a free-floating sharing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    12. Rung-Hung Su & Ming-Wei Weng & Yung-Fu Huang, 2020. "Innovative maintenance problem in a two-stage production-inventory system with imperfect processes," Annals of Operations Research, Springer, vol. 287(1), pages 379-401, April.
    13. Ahmet Erkoyuncu, John & Khan, Samir & Hussain, Syed Mohammed Fazal & Roy, Rajkumar, 2016. "A framework to estimate the cost of No-Fault Found events," International Journal of Production Economics, Elsevier, vol. 173(C), pages 207-222.
    14. Bikash Koli Dey & Hyesung Seok & Kwanghun Chung, 2024. "Optimal Decisions on Greenness, Carbon Emission Reductions, and Flexibility for Imperfect Production with Partial Outsourcing," Mathematics, MDPI, vol. 12(5), pages 1-29, February.
    15. Md. Tariqul Islam & Abdullahil Azeem & Masum Jabir & Ananna Paul & Sanjoy Kumar Paul, 2022. "An inventory model for a three-stage supply chain with random capacities considering disruptions and supplier reliability," Annals of Operations Research, Springer, vol. 315(2), pages 1703-1728, August.
    16. Darwish, M.A., 2008. "EPQ models with varying setup cost," International Journal of Production Economics, Elsevier, vol. 113(1), pages 297-306, May.
    17. Valentín Pando & Luis A. San-José & Joaquín Sicilia, 2021. "An Inventory Model with Stock-Dependent Demand Rate and Maximization of the Return on Investment," Mathematics, MDPI, vol. 9(8), pages 1-18, April.
    18. Chauhan, Ruchi & Majumder, Arunava & Kumar, Varun, 2023. "The impact of adopting customization policy and sustainability for improving consumer service in a dual-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).

    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:jmathe:v:11:y:2023:i:14:p:3041-:d:1189871. 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.