{"title":"基于行业视角的医疗器械供应链经济评估弹性","authors":"Yu Yang, Zecheng Yin","doi":"10.4018/ijdwm.320761","DOIUrl":null,"url":null,"abstract":"Health budget allocation choices are increasingly aided by medical technology's economic evaluation (EE). With thousands of new items launched each year, the medical device (MD) business is one of the most active domains of medical advancement among providers of innovation. Some of these considerations have to do with the specifics of how the gadget works. The paper examines the investment assessment of new medical devices from an industrial viewpoint. The strategy EE-MD presented should lead to more inventive and cost-effective surgical supplies for the medical industry. The study's purpose is to better the decision-making process for medical device development. Small and medium-sized firms are a crucial source of innovation for the future, and the research focuses mostly on them. Design economy and professional engineering literature are linked in the article. The proposed multi-attribute and team method to construct selection discusses the financial factor and provides a strong foundation for ongoing program management by identifying project-specific risks and strategic alliances.","PeriodicalId":54963,"journal":{"name":"International Journal of Data Warehousing and Mining","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilience of a Supply Chain-Based Economic Evaluation of Medical Devices From an Industry Perspective\",\"authors\":\"Yu Yang, Zecheng Yin\",\"doi\":\"10.4018/ijdwm.320761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Health budget allocation choices are increasingly aided by medical technology's economic evaluation (EE). With thousands of new items launched each year, the medical device (MD) business is one of the most active domains of medical advancement among providers of innovation. Some of these considerations have to do with the specifics of how the gadget works. The paper examines the investment assessment of new medical devices from an industrial viewpoint. The strategy EE-MD presented should lead to more inventive and cost-effective surgical supplies for the medical industry. The study's purpose is to better the decision-making process for medical device development. Small and medium-sized firms are a crucial source of innovation for the future, and the research focuses mostly on them. Design economy and professional engineering literature are linked in the article. The proposed multi-attribute and team method to construct selection discusses the financial factor and provides a strong foundation for ongoing program management by identifying project-specific risks and strategic alliances.\",\"PeriodicalId\":54963,\"journal\":{\"name\":\"International Journal of Data Warehousing and Mining\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Data Warehousing and Mining\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.4018/ijdwm.320761\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Warehousing and Mining","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4018/ijdwm.320761","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Resilience of a Supply Chain-Based Economic Evaluation of Medical Devices From an Industry Perspective
Health budget allocation choices are increasingly aided by medical technology's economic evaluation (EE). With thousands of new items launched each year, the medical device (MD) business is one of the most active domains of medical advancement among providers of innovation. Some of these considerations have to do with the specifics of how the gadget works. The paper examines the investment assessment of new medical devices from an industrial viewpoint. The strategy EE-MD presented should lead to more inventive and cost-effective surgical supplies for the medical industry. The study's purpose is to better the decision-making process for medical device development. Small and medium-sized firms are a crucial source of innovation for the future, and the research focuses mostly on them. Design economy and professional engineering literature are linked in the article. The proposed multi-attribute and team method to construct selection discusses the financial factor and provides a strong foundation for ongoing program management by identifying project-specific risks and strategic alliances.
期刊介绍:
The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving