{"title":"探索人工智能技术在制药企业供应链数据优化和实施中的价值","authors":"Wu Guo","doi":"10.56397/ist.2023.05.01","DOIUrl":null,"url":null,"abstract":"The adoption of artificial intelligence (AI) in the pharmaceutical industry has the potential to revolutionize supply chain management, enabling pharmaceutical companies to optimize their logistics and production processes while improving product quality and overall patient safety. This paper explores the value of AI technology in optimizing and implementing supply chain data for pharmaceutical companies. It reviews case studies from leading pharmaceutical companies such as Pfizer, Amgen, GlaxoSmithKline, Merck, and Roche, and examines how they are leveraging AI-powered solutions to optimize their logistics, production, and quality control processes. The paper finds that AI-powered solutions provide several benefits, including enhancing the accuracy, speed, and efficiency of supply chain management, reducing costs, and ensuring compliance with regulatory requirements. The authors advocate for increased investment in AI technology to fully realize the potential of these solutions in the pharmaceutical industry. The paper concludes that the adoption of AI in pharmaceutical supply chain management is critical for improving patient outcomes and ultimately driving the success of pharmaceutical companies in a rapidly evolving healthcare landscape.","PeriodicalId":20688,"journal":{"name":"Proceedings of The 6th International Conference on Innovation in Science and Technology","volume":"58 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the Value of AI Technology in Optimizing and Implementing Supply Chain Data for Pharmaceutical Companies\",\"authors\":\"Wu Guo\",\"doi\":\"10.56397/ist.2023.05.01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adoption of artificial intelligence (AI) in the pharmaceutical industry has the potential to revolutionize supply chain management, enabling pharmaceutical companies to optimize their logistics and production processes while improving product quality and overall patient safety. This paper explores the value of AI technology in optimizing and implementing supply chain data for pharmaceutical companies. It reviews case studies from leading pharmaceutical companies such as Pfizer, Amgen, GlaxoSmithKline, Merck, and Roche, and examines how they are leveraging AI-powered solutions to optimize their logistics, production, and quality control processes. The paper finds that AI-powered solutions provide several benefits, including enhancing the accuracy, speed, and efficiency of supply chain management, reducing costs, and ensuring compliance with regulatory requirements. The authors advocate for increased investment in AI technology to fully realize the potential of these solutions in the pharmaceutical industry. The paper concludes that the adoption of AI in pharmaceutical supply chain management is critical for improving patient outcomes and ultimately driving the success of pharmaceutical companies in a rapidly evolving healthcare landscape.\",\"PeriodicalId\":20688,\"journal\":{\"name\":\"Proceedings of The 6th International Conference on Innovation in Science and Technology\",\"volume\":\"58 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 6th International Conference on Innovation in Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56397/ist.2023.05.01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 6th International Conference on Innovation in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56397/ist.2023.05.01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploring the Value of AI Technology in Optimizing and Implementing Supply Chain Data for Pharmaceutical Companies
The adoption of artificial intelligence (AI) in the pharmaceutical industry has the potential to revolutionize supply chain management, enabling pharmaceutical companies to optimize their logistics and production processes while improving product quality and overall patient safety. This paper explores the value of AI technology in optimizing and implementing supply chain data for pharmaceutical companies. It reviews case studies from leading pharmaceutical companies such as Pfizer, Amgen, GlaxoSmithKline, Merck, and Roche, and examines how they are leveraging AI-powered solutions to optimize their logistics, production, and quality control processes. The paper finds that AI-powered solutions provide several benefits, including enhancing the accuracy, speed, and efficiency of supply chain management, reducing costs, and ensuring compliance with regulatory requirements. The authors advocate for increased investment in AI technology to fully realize the potential of these solutions in the pharmaceutical industry. The paper concludes that the adoption of AI in pharmaceutical supply chain management is critical for improving patient outcomes and ultimately driving the success of pharmaceutical companies in a rapidly evolving healthcare landscape.