Integrated Green Lean Six Sigma-Industry 4.0 approach to combat COVID-19: from literature review to framework development
|Authors||Kaswan, M.S., Garza-Reyes, J.A., Rathi, R., Antony, J., Cross, J., Singh, M., Preet Singh, I. and Sony, M.|
Purpose: The Coronavirus (COVID-19) pandemic has led to a surge in demand for healthcare facilities, medicines, vaccines, and other healthcare items. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of healthcare 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 healthcare facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS- I4.0 has been proposed for better COVID management.
Methodology: To conduct literature, authors used Preferred reporting items for systematic reviews and meta-analysis (PRISMA) and covers relevant articles from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS- I 4.0 approach and through insights of experts (academicians, and healthcare 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 healthcare management. In this study, the proposed framework reveals that IOT (Internet of Things), Big Data, and Artificial Intelligence (AI) 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, inpatient and outpatient care of the affected person.
Implications: This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of 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-based in medical areas and provides different novel prospects to combat other medical urgencies.
|Keywords||Green Lean Six Sigma; Industry 4.0; COVID-19; framework; Lean Six Sigma; Machine learning|
|Journal||International Journal of Lean Six Sigma|
|Journal citation||pp. 1-30|
|Publisher||Emerald Group Publishing|
|Digital Object Identifier (DOI)||https://doi.org/10.1108/IJLSS-11-2022-0227|
|Web address (URL)||https://www.emerald.com/insight/content/doi/10.1108/IJLSS-11-2022-0227/full/html|
|Accepted author manuscript|
File Access Level
|Online||17 Jul 2023|
|Publication process dates|
|Accepted||24 Jun 2023|
|Deposited||25 Jul 2023|
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