Downloads: 4
United States | Pharmaceutical Science | Volume 13 Issue 7, July 2024 | Pages: 1271 - 1278
Integrating Agile Methodologies, Automation, and Advanced Data Analytics in Pharmaceutical Supply Chain Management
Abstract: The intersection of pharmaceutical industry practices with emerging technologies such as agile methodologies, automation, and advanced data analytics has led to significant advancements in the efficiency and effectiveness of supply chain management. This journal article explores these advancements, focusing on the integration of digital supply chains, transformational leadership, and innovative technologies. The study synthesizes existing literature and empirical data to examine how these technologies are reshaping pharmaceutical supply chains, enhancing resilience, and improving overall performance. By adopting a multi - disciplinary approach, the article provides insights into the challenges and future directions of digital supply chains, the role of leadership in technological adoption, and the impact of big data analytics and cloud computing on healthcare delivery.
Keywords: Pharmaceutical supply chain, Agile methodologies, Automation, Digital supply chain, Transformational leadership, Big data analytics
How to Cite?: Prasanna Begamudra Rangavittal, "Integrating Agile Methodologies, Automation, and Advanced Data Analytics in Pharmaceutical Supply Chain Management", Volume 13 Issue 7, July 2024, International Journal of Science and Research (IJSR), Pages: 1271-1278, https://www.ijsr.net/getabstract.php?paperid=SR24721220558, DOI: https://dx.doi.org/10.21275/SR24721220558