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Measuring Supply Chain Performance for Khanh Hoa Sanest Soft Drink Joint Stock Company: An Application of the Supply Chain Operations Reference (SCOR) Model

Author

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  • Tram Anh Thi Nguyen

    (Faculty of Economics, Nha Trang University, Nha Trang 57109, Khanh Hoa Province, Vietnam)

  • Thuy Lan Nguyen

    (Khanh Hoa Salanganes Nest Company, Nha Trang 57118, Khanh Hoa Province, Vietnam)

  • Quynh Trang Thi Nguyen

    (Faculty of Economics, Nha Trang University, Nha Trang 57109, Khanh Hoa Province, Vietnam)

  • Kim Anh Thi Nguyen

    (Faculty of Economics, Nha Trang University, Nha Trang 57109, Khanh Hoa Province, Vietnam)

  • Curtis M. Jolly

    (Department of Agricultural Economics, Auburn University, Auburn, AL 36849-5406, USA)

Abstract

As Khanh Hoa Sanest Soft Drink Joint Stock Company attempts to satisfy consumer requirements and maintain market share in the salangane nest industry, it is important to monitor the efficiency of its supply chain (SC). This paper identified metrics to evaluate the firm’s SC performance, using secondary data from firm records, primary data from a survey of 200 sales agents, and the Supply Chain Operations Reference (SCOR) model. Production records revealed a manufacturing lead time of 11 days and a production time of 24 h plus 7 days for refrigeration and observation. Order fulfillment delivery times ranged from 13 to 16 days. About 86.0 percent of customers rated the product as good or very good, and 60.5 percent claimed benefits from consuming the product. SC management costs of goods sold were 75.27% of total costs, while production cost was 41.99% of total costs. Total assets increased 16.6% from 2019 to 2021, but profits declined by 32.9% for the same period, while return on assets fell 42.4%. To maintain a competitive advantage, the company should apply information technology to improve SC performance. The results showed that the SCOR model is appropriate for evaluating the performance of this firm and similar business enterprises.

Suggested Citation

  • Tram Anh Thi Nguyen & Thuy Lan Nguyen & Quynh Trang Thi Nguyen & Kim Anh Thi Nguyen & Curtis M. Jolly, 2023. "Measuring Supply Chain Performance for Khanh Hoa Sanest Soft Drink Joint Stock Company: An Application of the Supply Chain Operations Reference (SCOR) Model," Sustainability, MDPI, vol. 15(22), pages 1-24, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16057-:d:1282460
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    References listed on IDEAS

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    1. Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2019. "Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks," International Journal of Production Economics, Elsevier, vol. 212(C), pages 19-38.
    2. Meixell, Mary J. & Gargeya, Vidyaranya B., 2005. "Global supply chain design: A literature review and critique," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(6), pages 531-550, November.
    3. Nicholas Tze Ping Pang & Gracyvinea Nold Imon & Elisa Johoniki & Mohd Amiruddin Mohd Kassim & Azizan Omar & Syed Sharizman Syed Abdul Rahim & Firdaus Hayati & Mohammad Saffree Jeffree & Jun Rong Ng, 2021. "Fear of COVID-19 and COVID-19 Stress and Association with Sociodemographic and Psychological Process Factors in Cases under Surveillance in a Frontline Worker Population in Borneo," IJERPH, MDPI, vol. 18(13), pages 1-18, July.
    4. Otto, Andreas & Kotzab, Herbert, 2003. "Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain," European Journal of Operational Research, Elsevier, vol. 144(2), pages 306-320, January.
    5. Ching-Chow Yang & King-Jang Yang & Tsu-Ming Yeh & Fan-Yun Pai, 2009. "Methods for determining areas for improvement based on the design of customer surveys," The Service Industries Journal, Taylor & Francis Journals, vol. 29(2), pages 143-154, February.
    6. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
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