抗击新冠肺炎的综合绿色精益六西格玛-工业4.0方法:从文献综述到框架开发

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Mahender Singh Kaswan, R. Rathi, J. Antony, Jennifer Cross, J. Garza‐Reyes, Mahipal Singh, Inder Preet Singh, M. Sony
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引用次数: 5

摘要

冠状病毒(COVID-19)大流行导致对卫生保健设施、药品、疫苗和其他卫生保健物品的需求激增。本研究的目的是研究在2019冠状病毒病背景下整合绿色精益六西格玛和工业4.0方法的不同方面,以改善医疗保健管理。整合绿色精益六西格玛(GLSS)和工业4.0 (I4.0)有可能满足医疗保健单位的现代需求,并通过更好的安全性、卫生性和实时诊断来提高住院治疗质量。已经进行了系统审查,以确定从COVID管理的角度在医疗机构内采用综合GLSS-I4.0方法的工具/技术、挑战、应用领域和潜在效益。此外,还提出了集成GLSS-I4.0的概念框架,以更好地管理COVID。设计/方法/方法为了进行文献综述,作者使用首选报告项目进行系统综述和荟萃分析,并涵盖了自COVID-19到来以来的相关论文。基于对综合GLSS-I4.0方法的不同方面的系统理解,并通过专家(学者和卫生保健人员)的见解,提出了一个概念性框架,以更好地检测、预防和治疗COVID-19。本文提出的系统综述提供了不同的途径来理解综合GLSS-I4.0方法在不同领域的COVID医疗保健管理中的不同方面。在本研究中,提出的框架表明,物联网、大数据和人工智能是工业4.0技术的主要组成部分,可以更好地管理COVID。此外,I4.0与GLSS的整合有助于在COVID管理的不同阶段,从诊断、物品制造到患者的住院和门诊护理。实践意义本研究通过了解更好地管理COVID的综合方法的不同工具和技术,为从业者提供了重要的知识库。此外,拟议的框架有助于从受影响的人那里获取日常信息,并确保通过更好地利用空间和在患者周围创造健康的环境来减少住院时间。拟议框架的包容性实施将加强医学领域的知识基础,并为应对其他医疗紧急情况提供不同的新前景。原创性/价值据作者所知,本研究首次从COVID医疗保健的角度回顾了综合GLSS-I4.0方法的不同方面,并提供了一个概念框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Green Lean Six Sigma-Industry 4.0 approach to combat COVID-19: from literature review to framework development
Purpose The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management. Design/methodology/approach To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure. Findings The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person. Practical implications This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies. Originality/value To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.
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来源期刊
International Journal of Lean Six Sigma
International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering
CiteScore
8.90
自引率
15.00%
发文量
46
期刊介绍: Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.
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