Supply Chain Resilience Optimization for a Pharmaceutical Company When Considering Supply Disruptions
In the current volatile and uncertain international situation,the phar-maceutical supply chain faces many challenges.Pharmaceutical products are crucial for patient health and life,and any supply disruption will seriously affect the conti-nuity of medical services and threaten patient safety,especially during the epidemic outbreaks.Therefore,pharmaceutical companies urgently need to build a resilient supply chain with the ability to avoid risks and quickly recover.Based on this,this paper defines the definition and structure of the pharmaceutical supply chain,and provides the definition and measurement indicator of pharmaceutical supply chain re-silience.Then,this paper takes the single-product,multi-cycle pharmaceutical supply chain composed of the self-built factory/back-up supplier,pharmaceutical companies,and distributors as the research object.By introducing the back-up supplier as the resilient measure in the pharmaceutical supply chain,this paper constructs a phar-maceutical supply chain resilience model with the goal of maximizing profit under different disruption scenarios.The resilience level is characterized by the demand ful-fillment rate of the distributors,and the shortage penalty cost is reflected in the total profits.Subsequently,this paper uses the supply chain of Pharmaceutical Company A as an example,and applies the fast non-dominated genetic algorithm to solve and analyze the model.Numerical experiments show that the introduction of the back-up supplier can not only improve the resilience level of the pharmaceutical supply chain,but also stabilize the total profits of the supply chain,helping the Pharmaceutical Company A respond quickly and recover rapidly to the initial state or even a more ideal state.
NETL
NSTL
万方数据
