Resilience of a Supply Chain-Based Economic Evaluation of Medical Devices From an Industry Perspective

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Yu Yang, Zecheng Yin
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引用次数: 0

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.
基于行业视角的医疗器械供应链经济评估弹性
医疗技术的经济评价(EE)越来越多地辅助医疗预算的分配选择。医疗器械(MD)业务每年推出数千种新产品,是创新提供者中医疗进步最活跃的领域之一。其中一些考虑与小工具如何工作的细节有关。本文从产业角度考察了新型医疗器械的投资评价。EE-MD提出的战略应该会为医疗行业带来更多创新和成本效益更高的手术用品。本研究的目的是为了改善医疗器械开发的决策过程。中小企业是未来创新的重要来源,研究主要集中在中小企业上。文章将设计经济学与专业工程文献联系起来。提出的多属性和团队方法来构建选择讨论了财务因素,并通过识别项目特定的风险和战略联盟为正在进行的计划管理提供了坚实的基础。
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来源期刊
International Journal of Data Warehousing and Mining
International Journal of Data Warehousing and Mining COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.40
自引率
0.00%
发文量
20
审稿时长
>12 weeks
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
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