IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p16057-d1282460.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/16057/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/22/16057/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    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. Chang, Sheng-Lin & Wang, Reay-Chen & Wang, Shih-Yuan, 2007. "Applying a direct multi-granularity linguistic and strategy-oriented aggregation approach on the assessment of supply performance," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1013-1025, March.
    2. Wang, Shih-Yuan & Chang, Sheng-Lin & Wang, Reay-Chen, 2009. "Assessment of supplier performance based on product-development strategy by applying multi-granularity linguistic term sets," Omega, Elsevier, vol. 37(1), pages 215-226, February.
    3. Rajesh K. Singh & Hari Om Sharma & Suresh K. Garg, 2016. "Study on Supply Chain Issues in an Auto Component Manufacturing Organization: Case Study," Global Business Review, International Management Institute, vol. 17(5), pages 1196-1210, October.
    4. Danese, Pamela & Romano, Pietro & Formentini, Marco, 2013. "The impact of supply chain integration on responsiveness: The moderating effect of using an international supplier network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 125-140.
    5. Kottala Sri Yogi, 2015. "Performance evaluation of reverse logistics: A case of LPG agency," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1063229-106, December.
    6. Ilkka Sillanpaa & Pekka Kess, 2011. "Supply Chain Performance Measurement Framework for Manufacturing Industries – A Theoretical Approach," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.
    7. Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
    8. Danese, Pamela, 2013. "Supplier integration and company performance: A configurational view," Omega, Elsevier, vol. 41(6), pages 1029-1041.
    9. Gunasekaran, Angappa & Irani, Zahir & Choy, King-Lun & Filippi, Lionel & Papadopoulos, Thanos, 2015. "Performance measures and metrics in outsourcing decisions: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 161(C), pages 153-166.
    10. Nurfarahin Musa & Nicholas Tze Ping Pang & Assis Kamu & Chong Mun Ho & Cerith Waters & Jennifer Berrett & Nima Moghaddam & Walton Wider, 2022. "The Development and Validation of the Comprehensive Assessment of Acceptance and Commitment Therapy Processes (CompACT)—Malay Version," IJERPH, MDPI, vol. 19(15), pages 1-10, August.
    11. Siti Aisyah Ya?kob & Mohd Uzairi Ahmad Hajazi & Nor Afiza Abu Bakar & Sharizal Hashim, 2019. "The Influence of Information Sharing Linkages on Business Performance: Evidence from Micro and Small Enterprises in Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 18-26, January.
    12. Schneider, Christian O. & Bremen, Philipp & Schönsleben, Paul & Alard, Robert, 2013. "Transaction cost economics in global sourcing: Assessing regional differences and implications for performance," International Journal of Production Economics, Elsevier, vol. 141(1), pages 243-254.
    13. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    14. Hammami, Ramzi & Frein, Yannick & Hadj-Alouane, Atidel B., 2009. "A strategic-tactical model for the supply chain design in the delocalization context: Mathematical formulation and a case study," International Journal of Production Economics, Elsevier, vol. 122(1), pages 351-365, November.
    15. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    16. Kroes, James R. & Manikas, Andrew S. & Gattiker, Thomas F., 2018. "Operational leanness and retail firm performance since 1980," International Journal of Production Economics, Elsevier, vol. 197(C), pages 262-274.
    17. De Simone, Lisa & Klassen, Kenneth J. & Seidman, Jeri K., 2022. "The effect of income-shifting aggressiveness on corporate investment," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    18. Hasani, Aliakbar & Khosrojerdi, Amirhossein, 2016. "Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 20-52.
    19. Ghadah Lafi Alharbi & Monira Essa Aloud, 2024. "The effects of knowledge management processes on service sector performance: evidence from Saudi Arabia," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-19, December.
    20. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.

    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:15:y:2023:i:22:p:16057-:d:1282460. 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.