Integrating Green Lean Six Sigma and industry 4.0: a conceptual framework

Kaswan, Mahender Singh; Rathi, Rajeev; Cross, Jennifer; Garza-Reyes, José Arturo; Antony, Jiju; Yadav, Vishwas

doi:10.1108/jmtm-03-2022-0115

Cited by 44 publications

(24 citation statements)

References 54 publications

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“…These findings align with prior literature (Tortorella et al ., 2023), suggesting a collaborative socio-technical system with adequate measurement can facilitate by the KM process. The study further suggests that using a green network can strengthen the KM process, improve employee knowledge and adjust KM strategies to enhance ecological performance in the manufacturing context (Abbas and Sağsan, 2019; Kaswan et al ., 2023). The outcome suggests that the KM process is the most crucial enabler having both indirect and direct effects on manufacturing.…”

Section: Resultsmentioning

confidence: 96%

The mechanism of knowledge management process toward minimizing technical risks under green implementation network: a direct and configurational approach

Alam

Zhang

Muhammad

et al. 2023

JMTM

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PurposeThe knowledge management (KM) sharing process plays an essential role in manufacturing under Green Implementation Network (GIN). This study aims to analyze the KM process of adopting a GIN to determine the relative importance of technical risk minimization. The proposed conceptual model was tested by considering two interrelated concepts (GIN and KM process).Design/methodology/approachPrimary data from manufacturing companies in Henan province, China, were collected through 276 questionnaires. PLS-SEM and fuzzy set qualitative comparative analysis (fsQCA) were applied to investigate the configurational path of minimizing the technical risk in the manufacturing process.FindingsThe findings showed that the GIN and KM processes minimize the technical risk. The fsQCA reported multiple configurational of GIN and KM processes validated toward technical risk reduction. The study's findings contribute to the existing body of knowledge on technical risk reduction in manufacturing concerns by investigating the complex intersection between GIN and KM process.Originality/valueThis research adds to current GIN and KM literature by focusing on the green process using a resource-based view (RBV) and socio-technical theories. The current study provides practical and theoretical justification for explaining the relationship between GIN and KM processes. Moreover, this study adds to the literature by providing evidence that KM is an essential manufacturing industry enabler in minimizing technical risk.

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Section: Resultsmentioning

confidence: 96%

The mechanism of knowledge management process toward minimizing technical risks under green implementation network: a direct and configurational approach

Alam

Zhang

Muhammad

et al. 2023

JMTM

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“…The preferred reporting items for systematic reviews and meta-analysis (PRISMA) (Figure 1) method has been used in this study to filter articles related to the topic of interest. The methodology describes how data from available studies need to be collected and analyzed by establishing explicit and reproducible methods that identify, choose and critically assess relevant research (Andreo-Martínez et al , 2022; Kaswan et al , 2022). In this study, the authors used databases of Science Direct, Web of Science, Emerald and SCOPUS so that all pertinent articles can be included in the study.…”

Section: Literature Search Methodologymentioning

confidence: 99%

“…To prevent a further surge of COVID-19, it is essential to provide affordable health-care facilities (vaccine, diagnosis and treatment). Integrated GLSS-I4.0 enhance the level of automation in the health-care system through the combination of wireless technologies, better data management and effective workplace sanitization (Kaswan et al, 2022). Integrated GLSS-I4.0 technologies are interconnected and provide better communication exchange among stakeholders to manufacture the vaccine, health-care equipment, case detection and determining essential activities with minimum human intervention (Narayanamurthy and Tortorella, 2021; Literature review to framework development Kumar et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Integrated Green Lean Six Sigma-Industry 4.0 approach to combat COVID-19: from literature review to framework development

Kaswan

Rathi

Antony

et al. 2023

IJLSS

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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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“…The relationship between LP and industry 4.0 technologies has been a popular subject of recent studies (Amrani et al , 2022; Kaswan et al , 2023; Marodin et al , 2022; Maware and Parsley, 2023; Pereira and Sachidananda, 2022; Rossini et al , 2022; Saabye and Powell, 2022). However, the relationship between the complete set of LP and sustainable organizational performance is yet to be identified.…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of lean production on sustainable organizational performance: the moderating effect of industry 4.0 technologies adoption

Ooi,

Teh,

Cheang

2023

MRR

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Purpose A paradigm shift of industry revolution 4.0 is made possible by technological advances that constitute a reversal of conventional lean production (LP) processes. In addition, there is increasing pressure on the manufacturing industry to manage operations responsibly towards the environmental and social impact, on top of the economic. These have motivated the manufacturing industry to identify approaches to implementing LP to achieve sustainable organizational performance. Hence, this study aims to examine the moderating role of industry 4.0 technologies adoption in the relationship between LP and sustainable organizational performance. Design/methodology/approach This study proposed a research framework on the relationship between LP and sustainable organizational performance supported by LP theory and triple bottom line theory, with industry 4.0 technologies adoption as a moderator. A quantitative survey method was used in this study for data collection. The respondents in this study were middle or top management in manufacturing companies, including directors, managers, supervisors and coordinators. To investigate the demographic variables of respondents, descriptive statistics were generated by using IBM Statistical Packages for the Social Sciences. For measurement and structural model evaluations, partial least square structural equation modelling was used. Findings Based on the proposed research framework in this study, supplier feedback, just-in-time delivery, supplier development, customer involvement, pull system, continuous flow, set-up time reduction (STR), statistical process control, total productive maintenance (TPM) and employee involvement are the dimensions for LP. This study revealed that industry 4.0 technologies adoption positively moderated the relationships of five LP dimensions towards a sustainable organizational performance, namely, supplier feedback, supplier development, continuous flow, STR and TPM. Originality/value This study provided insights that would enable practitioners to better strategize the co-existence of LP and industry 4.0 technologies adoption in mutually supporting sustainable organizational performance (environmental, social and economic).

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Integrating Green Lean Six Sigma and industry 4.0: a conceptual framework

Cited by 44 publications

References 54 publications

The mechanism of knowledge management process toward minimizing technical risks under green implementation network: a direct and configurational approach

The mechanism of knowledge management process toward minimizing technical risks under green implementation network: a direct and configurational approach

Integrated Green Lean Six Sigma-Industry 4.0 approach to combat COVID-19: from literature review to framework development

The impact of lean production on sustainable organizational performance: the moderating effect of industry 4.0 technologies adoption

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