The Role of Big Data Analytics in Improving Pharmaceutical Supply Chain Efficiency

DOI: https://doi.org/10.63345/ijrmp.org.v8.i12.2

Aman Verma

Independent Researcher

Mumbai, India

Abstract

The pharmaceutical industry is continuously challenged by regulatory complexities, demand fluctuations, and quality control issues, making supply chain efficiency a critical area of focus. This manuscript examines the role of big data analytics in enhancing the performance of the pharmaceutical supply chain. It discusses how data-driven insights contribute to decision making, risk management, and operational excellence by integrating vast amounts of information from various sources. Through a comprehensive literature review up to 2018, statistical analysis, and detailed methodology, this paper explores the impact of big data analytics on inventory management, demand forecasting, and distribution processes. The results suggest that the implementation of big data technologies leads to significant improvements in supply chain responsiveness and cost efficiency. Finally, the study concludes with a discussion on the implications for practice and offers future research directions for continued innovation in this field.

Keywords

Big Data Analytics, Pharmaceutical Supply Chain, Efficiency, Data-Driven Decision Making, Inventory Management, Demand Forecasting

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