IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i8p4028-d1922994.html

Uncovering Hidden Costs and Lean Improvement in Large-Scale Beef Cattle Farming: An Integrated MFCA-VSM Approach

Author

Listed:
  • Ying Wang

    (College of Engineering, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China)

  • Ding Wang

    (College of Engineering, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China)

  • Xu-Jing Liu

    (College of Engineering, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China)

  • Zi-Qian Yue

    (College of Engineering, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China)

Abstract

Addressing the persistent challenges of low resource utilization efficiency and the difficulty in quantifying hidden costs within the beef cattle sector, this study proposes an integrated diagnostic methodology that couples Material Flow Cost Accounting (MFCA) with Value Stream Mapping (VSM). Using a cohort of 1623 beef cattle finished in 2024 at the case study farm in Heilongjiang Province, China, the full life-cycle accounting reveals that hidden costs constitute 6.43% of total inputs. Attribution analysis further pinpoints two critical nodes: feed loss and bedding consumption, which account for 33.14% and 35.77% of negative product costs, respectively. Based on these diagnostics, two optimization strategies were devised: refined feed supply chain management and a recycled bedding system centered on the aerobic fermentation of cattle manure. Empirical estimates indicate that upgrading hardware facilities could reduce the feed loss rate to under 2%, yielding annual savings of ¥485,200. Furthermore, the bedding recycling system not only achieves zero waste discharge but also generates an average annual displacement income of ¥3.504 million, with an investment payback period of just 0.54 years. These findings demonstrate the efficacy of the coupled MFCA-VSM model in identifying environmental costs and unlocking economic potential, thereby providing an actionable pathway for the livestock industry’s transition toward more intensive and circular practices.

Suggested Citation

  • Ying Wang & Ding Wang & Xu-Jing Liu & Zi-Qian Yue, 2026. "Uncovering Hidden Costs and Lean Improvement in Large-Scale Beef Cattle Farming: An Integrated MFCA-VSM Approach," Sustainability, MDPI, vol. 18(8), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:8:p:4028-:d:1922994
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/8/4028/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/8/4028/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2026:i:8:p:4028-:d:1922994. 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.

    We have no bibliographic references for this item. You can help adding them by using 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.