Evolution and Future Trends in Supply Chain Management

Authors

  • Avantika Negi Student, Department of Mechanical Engineering Anna Saheb Dange College of Engineering and Technology, Ashta.

Keywords:

Supply Chain Management (SCM), Digital Twins, Circular Economy, Resilience and Risk Management, Advanced Analytics, Customer-Centric Supply Chains, Sustainability, Lean and Agile Methodologies, Internet of Things (IoT), Blockchain Technology

Abstract

Supply Chain Management (SCM) is a pivotal element in the operations of contemporary businesses, encompassing the entire flow of goods, information, and finances from raw materials to final consumer products. This review traces the historical evolution of SCM, from its early focus on logistics to its current comprehensive role in global business strategy. It highlights the shift towards integrated systems and collaborative practices that enhance coordination among all supply chain stakeholders. Key current practices such as lean and agile methodologies, sustainability initiatives, and the integration of advanced technologies like the Internetof Things (IoT), Artificial Intelligence (AI), and blockchain are examined. Furthermore, the review explores emerging trends that are shaping the future of SCM, including digital twins, the circular economy, resilience and risk management strategies, advanced analytics, and customer-centric supply chains. By understanding these developments, businesses can better prepare for and adapt to the evolving landscape of supply chain management, ensuring efficiency, sustainability, and resilience in their operations.

References

Christopher M. Logistics and supply chain management: strategies for reducing costs and improving services.Journal of theOperational Research Society. 1994;45(11):1341.

Choprar S, Meindl P. Supply Chain Management Strategy, Planning, and Operation. ed: Upper Saddle River, NJ: Prentice Hall. 2001.

Ivanov D, Dolgui A. A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control. 2021 Jul 4;32(9):775-88.

Mont O, Plepys A. Sustainable consumption progress: should we be proud or alarmed?. Journal of cleaner production. 2008 Mar 1;16(4):531-7.

Tukker A. Product services for a resource-efficient and circular economy–a review. Journal of cleaner production. 2015 Jun 15;97:76-91.

Ketchen Jr DJ, Craighead CW. Research at the intersection of entrepreneurship, supply chain management, and strategic management: Opportunities highlighted by COVID-19. Journal of Management. 2020 Nov;46(8):1330-41.

Schoenherr T, Speier-Pero C. Data science, predictive analytics, and big data in supply chain management: Current state and future potential. Journal of Business Logistics. 2015 Mar;36(1):120-32.

Choi TM, Wallace SW, Wang Y. Big data analytics in operations management. Production and Operations Management. 2018 Oct;27(10):1868-83.

Brandon-Jones E, Squire B, Autry CW, Petersen KJ. A contingent resource-based perspective of supply chain resilience and robustness. Journal of Supply Chain Management. 2014 Jul;50(3):55-73.

Kumar K, Zindani D, Davim JP, editors. Digital manufacturing and assembly systems in industry 4.0. CRC Press; 2019 Jul 3.

Seuring S, Müller M. From a literature review to a conceptual framework for sustainable supply chain management. Journal of cleaner production. 2008 Oct 1;16(15):1699-710.

Pagell M, Shevchenko A. Why research in sustainable supply chain management should have no future. Journal of supply chain management. 2014 Jan;50(1):44-55.

Murphy R. An exploration of supply chain visibility in the life science industry (Doctoral dissertation, Dublin Business School).

Min H. Blockchain technology for enhancing supply chain resilience. Business Horizons. 2019 Jan 1;62(1):35-45.

Barratt M, Choi TY, Li M. Qualitative case studies in operations management: Trends, research outcomes, and future research implications. Journal of operations management. 2011 May 1;29(4):329-42.

Ivanov D, Sokolov B, Pavlov A. Dual problem formulation and its application to optimal redesign of an integrated production–distribution network with structure dynamics and ripple effect considerations. International Journal of Production Research. 2013

Sep 1;51(18):5386-403.

Published

2024-10-15