Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness

Year : 2025 | Volume : 15 | Issue : 01 | Page : 1-6
    By

    Vinay Kumar Agrahari,

  • Sachin Jain,

  1. Student, Department of Mechanical Engineering, Bansal Institute of Science and Technology, Bhopal, Madhya Pradesh, India
  2. Assistant Professor, Department of Mechanical Engineering, Bansal Institute of Science and Technology, Bhopal, Madhya Pradesh, India

Abstract

Supply chain management (SCM) is a critical component of modern business operations, directly influencing operational efficiency and global competitiveness. This paper explores strategies, innovations, and sustainable practices aimed at optimizing SCM. It examines the integration of digital technologies, such as artificial intelligence and digital twins, to enhance supply chain performance and adaptability. Additionally, the study delves into sustainable supply chain management (SSCM) practices, including sustainable sourcing, green packaging, and waste reduction, to minimize environmental impact and promote corporate social responsibility. By analyzing the interplay between technological advancements and sustainable practices, the paper provides a comprehensive framework for businesses seeking to improve operational efficiency and maintain a competitive edge in the global market. This study explores the optimization of supply chain management (SCM) through the integration of innovative strategies, advanced technologies, and sustainable practices aimed at improving operational efficiency and ensuring long-term competitiveness in a global market. It examines key aspects such as supply chain design, risk management, inventory control, and the role of digital transformation, including automation and data analytics, in enhancing decision-making and performance. Additionally, the research highlights the growing importance of sustainability, emphasizing eco-friendly practices, ethical sourcing, and circular economy principles, and how these factors contribute to both environmental preservation and cost-effective operations. The findings aim to provide actionable insights for businesses seeking to streamline their supply chains while remaining adaptable to changing market demands and global challenges.

Keywords: Supply chain management, artificial intelligence, blockchain, RFID

[This article belongs to Journal of Production Research & Management ]

How to cite this article:
Vinay Kumar Agrahari, Sachin Jain. Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness. Journal of Production Research & Management. 2025; 15(01):1-6.
How to cite this URL:
Vinay Kumar Agrahari, Sachin Jain. Optimizing Supply Chain Management: Strategies, Innovations, and Sustainable Practices for Enhanced Operational Efficiency and Global Competitiveness. Journal of Production Research & Management. 2025; 15(01):1-6. Available from: https://journals.stmjournals.com/joprm/article=2025/view=204890


References

  1. Christopher, M. (2016). Logistics & Supply Chain Management. Pearson UK.
  2. Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Transportation Research Part E: Logistics and Transportation Review, 136, 101922.
  3. Seuring, S., & Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16(15), 1699–1710.
  4. Tang, C. S. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics Research and Applications, 9(1), 33–45. Christopher, M. (2016). Logistics & supply chain management. Pearson UK.
  5. Geissdoerfer, M., Savaget, P., Bocken, N. M., & Hultink, E. J. (2017). The circular economy–A new sustainability paradigm? Journal of Cleaner Production, 143, 757–768. https://doi.org/10.1016/j.jclepro.2016.12.048
  6. Ivanov, D., Dolgui, A., Sokolov, B., & Ivanova, M. (2021). Digital supply chain twins: Managing the ripple effect, resilience, and disruption risks by data-driven optimization, simulation, and visibility. Transportation Research Part E: Logistics and Transportation Review, 146, 102170. https://doi.org/10.1016/j.tre.2020.102170
  7. Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021). COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 148, 102271. https://doi.org/10.1016/j.tre.2021.102271
  8. Choi, T. Y., Wallace, S. W., & Wang, Y. (2020). Managing the Global Supply Chain: Strategies, Innovations, and Practices. Journal of Supply Chain Management, 56(4), 1–16.
  9. Sarkis, J. (2021). Sustainable Supply Chain Management: An Introduction. Journal of Cleaner Production, 276, 123–135.
  10. Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
  11. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE Publications.
  12. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
  13. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
  14. Bryman, A. (2016). Social research methods (5th ed.). Oxford University Press.
  15. Denzin, N. K. (2012). Triangulation 2.0. Journal of Mixed Methods Research, 6(2), 80–88.
  16. Flick, U. (2018). An introduction to qualitative research (6th ed.). Sage Publications.
  17. Krueger, R. A., & Casey, M. A. (2015). Focus groups: A practical guide for applied research (5th ed.). Sage Publications.
  18. Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13.
  19. Patton, M. Q. (2002). Qualitative research & evaluation methods (3rd ed.). Sage Publications.
  20. Gunasekaran, A., Subramanian, N., & Rahman, S. M. (2019). Sustainability and supply chain management: A review of literature. International Journal of Production Economics, 221, 109–124.
  21. Hald, K. S., & Stentoft, J. (2018). IT integration in supply chains: Opportunities and challenges. Journal of Supply Chain Management, 54(4), 67–81.
  22. Jain, R., & Kumar, A. (2021). Artificial intelligence in supply chain management: Applications and challenges. Journal of Business Research, 128, 440–452.
  23. Kochan, M. A., & Zhan, J. (2020). Impact of IT systems on supply chain performance. Operations Management Review, 45(2), 55–69.
  24. Liu, S., Zhang, Y., & Lin, Z. (2020). Cost efficiency through IT integration in supply chains. Journal of Business Logistics, 41(1), 88–104.
Regular Issue Subscription Original Research
Volume 15
Issue 01
Received 21/12/2024
Accepted 24/02/2025
Published 01/03/2025
Publication Time 70 Days
Total Visits: 40


My IP

PlumX Metrics