Role of Advanced Technologies in Optimizing Supply Chain Management for Pharma Industry

This study examines the role of automation and advanced technologies in optimizing supply chain management within the pharmaceutical industry, focusing particularly on their impact on manpower, and management practices. With increasing digital transformation in pharma supply chains, technologies such as AI, automation, and data analytics are reshaping how processes are executed and managed. Using a quantitative approach, data were collected from 400 professionals across various departments including manufacturing, supply chain, quality control, and management. Regression analysis was conducted to assess the relationship between employees’ perceptions of automation-related changes—such as reduced need for manual labor, requirement for reskilling, and shifts in job responsibilities—and their years of experience in the industry. While the overall model had low explanatory power (R² = 0.006, F = 0.762), all three independent variables showed statistically significant relationships (p < 0.005). These findings suggest that more experienced employees are more aware of the impact of automation, validating the hypothesis that technology is significantly influencing workforce dynamics and organizational processes. The study emphasizes the need for strategic planning, employee development, and change management to align with ongoing technological advancements in the pharmaceutical supply chain.