{"title":"Simulation of pharmaceutical supply chain resilience in Hebei Province: An impact factor-capability perspective","authors":"Yanxin Zhu , Zhe Yang , Qi He","doi":"10.1016/j.aej.2025.03.049","DOIUrl":null,"url":null,"abstract":"<div><div>The production and supply of pharmaceuticals are critical to safeguarding public health and national security. Enhancing the resilience of the pharmaceutical supply chain is essential for mitigating uncertain pharmaceutical risks and maintaining social stability. This study focuses on the pharmaceutical supply chain in Hebei Province and, based on an impact factor-capability-resilience framework, develops an evaluation system for the resilience factors of the pharmaceutical supply chain in terms of tolerance capacity, recovery capacity, and risk resistance capacity. The study utilizes the system dynamics (SD) method to perform simulation analysis. Sensitivity analysis reveals that the resilience of the pharmaceutical supply chain in Hebei Province is most influenced by risk tolerance capacity, followed by recovery capacity. Among the various influencing factors, supply chain risk tolerance capacity is predominantly affected by factors such as operating income, inventory, and social environment. Supply chain recovery capacity is primarily influenced by factors such as total profit and partner credibility, while supply chain risk resistance capacity is chiefly influenced by operating profit margin and logistics support level.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"122 ","pages":"Pages 436-452"},"PeriodicalIF":6.2000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016825003552","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The production and supply of pharmaceuticals are critical to safeguarding public health and national security. Enhancing the resilience of the pharmaceutical supply chain is essential for mitigating uncertain pharmaceutical risks and maintaining social stability. This study focuses on the pharmaceutical supply chain in Hebei Province and, based on an impact factor-capability-resilience framework, develops an evaluation system for the resilience factors of the pharmaceutical supply chain in terms of tolerance capacity, recovery capacity, and risk resistance capacity. The study utilizes the system dynamics (SD) method to perform simulation analysis. Sensitivity analysis reveals that the resilience of the pharmaceutical supply chain in Hebei Province is most influenced by risk tolerance capacity, followed by recovery capacity. Among the various influencing factors, supply chain risk tolerance capacity is predominantly affected by factors such as operating income, inventory, and social environment. Supply chain recovery capacity is primarily influenced by factors such as total profit and partner credibility, while supply chain risk resistance capacity is chiefly influenced by operating profit margin and logistics support level.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering