Study on the Influencing Factors of Digital Transformation on the Resilience of Pharmaceutical Supply Chain

Abstract

Under the background of coping with changes and crises through digital transformation in various fields in China, and by using the questionnaire data collected from employees of pharmaceutical enterprises, this study conducts multivariate logistic regression analysis on the impact of digital transformation on the resilience of pharmaceutical supply chain. The results show that the automation level of sales management, the real-time tracking level of goods, the popularity of process robots and predictive maintenance are important factors affecting the resilience level of model pharmaceutical supply chain. It is suggested that the resilience of pharmaceutical supply chain can be improved through the following ways: establishing intelligent marketing system and communication platform, realizing logistics visualization and using IOT and sensing technology to monitor goods. In addition, a fault pre-warning system should be established in the production workshop, and a detailed and feasible maintenance and optimization plan should be customized. This paper aims to provide references for the direction and measures of digital transformation, which is conducive to building a more efficient, transparent, flexible and sustainable pharmaceutical supply chain, and also helps the pharmaceutical supply chain to better cope with external changes and risks.