• Sanjeev Kumar

This research study examines the role of Supply Chain Management (SCM) in enhancing business efficiency through a comparative analysis of four key industries in India: manufacturing, retail, healthcare, and information technology (IT). The study aims to identify the effectiveness of SCM practices in improving operational performance, reducing costs, and increasing customer satisfaction. A quantitative approach was used, involving a survey of 100 firms across these sectors, focusing on key metrics such as inventory turnover, lead time, transportation costs, and customer satisfaction. The results showed that retail and IT industries outperformed manufacturing and healthcare in inventory management and customer satisfaction, reflecting the successful implementation of Just-In-Time (JIT) systems and technology-driven SCM practices. Healthcare, on the other hand, faced challenges in managing lead times and transportation costs due to regulatory constraints and the complexity of medical supplies. The study highlights the importance of tailoring SCM strategies to industry-specific needs and suggests that healthcare and manufacturing sectors can benefit from adopting more advanced technologies such as blockchain for improving traceability and reducing delays. Overall, the research contributes to the understanding of how SCM practices impact business efficiency across different sectors, providing actionable insights for optimizing supply chain performance in emerging markets like India.

Supply Chain Management, business efficiency, inventory turnover, lead time, healthcare logistics, Just-In-Time systems

"Reviewing the Role of Supply Chain Management in Enhancing Business Efficiency: A Comparative Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.p660-p670, May-2023, Available :http://www.jetir.org/papers/JETIR2305G87.pdf

"Reviewing the Role of Supply Chain Management in Enhancing Business Efficiency: A Comparative Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppp660-p670, May-2023, Available at : http://www.jetir.org/papers/JETIR2305G87.pdf