Abstract:PurposeBecause of the COVID-19 pandemic and changing market demands, competition for manufacturing industries is increasing and they face numerous challenges. In such a case, it is necessary to use multiple strategies, technologies and practices to improve organizational performance and, as a result, to integrate them for ease of adoption. The purpose of this research is to identify advanced Industry 4.0 technologies, operational excellence (OPEX) strategies and reconfigurable manufacturing system (RMS) practi… Show more
“…The researchers may, however, use the same methodology in other areas of their research. The presented work also demonstrates the use of the SWARA-WASPAS method for calculating criteria weights and alternatives prioritization (Pansare et al. , 2022a).…”
Section: Discussionmentioning
confidence: 99%
“…Various researchers have used the SWARA technique for computing weights of selected criteria as it is simple to use and takes less time. The SWARA method, developed by the researcher Kersuliene in 2010, grades alternatives based on their relative importance, beginning with the most important and progressing to the least important (Pansare et al, 2022a). The SWARA method was used in this study because of its ability to compute the criteria weights and rank them.…”
Section: Multi-methods Analysismentioning
confidence: 99%
“…The WASPAS method, developed by Zavadskas in 2012, is a one-of-a-kind combination effect of the weighted sum model (WSM) and the weighted product model (WPM), with prioritization based on the optimality criteria of these two models (Pansare et al. , 2022a).…”
Section: Case Analysismentioning
confidence: 99%
“…3.3.2 Application of WASPAS approach. The WASPAS method, developed by Zavadskas in 2012, is a one-of-a-kind combination effect of the weighted sum model (WSM) and the weighted product model (WPM), with prioritization based on the optimality criteria of these two models (Pansare et al, 2022a). The WASPAS method was used in this study due to its high efficiency and effectiveness in decision-making.…”
PurposeThe United Nation's Sustainable Development Goals (SDGs), introduced in 2015, connect several manufacturing strategies and promote sustainable practices in an organization. Manufacturing companies are struggling to meet changing market demands while also addressing social and biological issues. The current study aims to develop a framework that can assist practitioners and managers contribute to the attainment of the SDGs through the adoption of reconfigurable manufacturing system (RMS) practices and Industry 4.0 technologies.Design/methodology/approachAn extensive literature review was carried out to identify RMS-Industry 4.0 practices and their interconnection, as well as their contribution to achieving the SDGs. The stepwise weight assessment ratio analysis (SWARA) method was then used to compute the weights of the selected RMS-Industry 4.0 practices, whereas the weighted aggregated sum product assessment (WASPAS) method was used to prioritize performance metrics. The developed framework's robustness was tested using a sensitivity analysis across five different organizations.FindingsThe findings show that advanced technologies practices have the most importance, followed by customization and rapid adjustment of capacity and functionality practices. The sensitivity analysis revealed the robustness of the developed framework as well as its adaptability among the chosen organizations.Practical implicationsThis research will assist in the adoption of RMS and includes recent technologies that can help in the attainment of industrial SDGs. Managers will also be able to evaluate RMS in the context of industrial SDGs. Researchers and practitioners can now address the various RMS-Industry 4.0 practices while keeping the social and environmental aspects in mind.Originality/valueNo previous research has investigated the SDGs through the nexus effect of Industry 4.0 and RMS practices.
“…The researchers may, however, use the same methodology in other areas of their research. The presented work also demonstrates the use of the SWARA-WASPAS method for calculating criteria weights and alternatives prioritization (Pansare et al. , 2022a).…”
Section: Discussionmentioning
confidence: 99%
“…Various researchers have used the SWARA technique for computing weights of selected criteria as it is simple to use and takes less time. The SWARA method, developed by the researcher Kersuliene in 2010, grades alternatives based on their relative importance, beginning with the most important and progressing to the least important (Pansare et al, 2022a). The SWARA method was used in this study because of its ability to compute the criteria weights and rank them.…”
Section: Multi-methods Analysismentioning
confidence: 99%
“…The WASPAS method, developed by Zavadskas in 2012, is a one-of-a-kind combination effect of the weighted sum model (WSM) and the weighted product model (WPM), with prioritization based on the optimality criteria of these two models (Pansare et al. , 2022a).…”
Section: Case Analysismentioning
confidence: 99%
“…3.3.2 Application of WASPAS approach. The WASPAS method, developed by Zavadskas in 2012, is a one-of-a-kind combination effect of the weighted sum model (WSM) and the weighted product model (WPM), with prioritization based on the optimality criteria of these two models (Pansare et al, 2022a). The WASPAS method was used in this study due to its high efficiency and effectiveness in decision-making.…”
PurposeThe United Nation's Sustainable Development Goals (SDGs), introduced in 2015, connect several manufacturing strategies and promote sustainable practices in an organization. Manufacturing companies are struggling to meet changing market demands while also addressing social and biological issues. The current study aims to develop a framework that can assist practitioners and managers contribute to the attainment of the SDGs through the adoption of reconfigurable manufacturing system (RMS) practices and Industry 4.0 technologies.Design/methodology/approachAn extensive literature review was carried out to identify RMS-Industry 4.0 practices and their interconnection, as well as their contribution to achieving the SDGs. The stepwise weight assessment ratio analysis (SWARA) method was then used to compute the weights of the selected RMS-Industry 4.0 practices, whereas the weighted aggregated sum product assessment (WASPAS) method was used to prioritize performance metrics. The developed framework's robustness was tested using a sensitivity analysis across five different organizations.FindingsThe findings show that advanced technologies practices have the most importance, followed by customization and rapid adjustment of capacity and functionality practices. The sensitivity analysis revealed the robustness of the developed framework as well as its adaptability among the chosen organizations.Practical implicationsThis research will assist in the adoption of RMS and includes recent technologies that can help in the attainment of industrial SDGs. Managers will also be able to evaluate RMS in the context of industrial SDGs. Researchers and practitioners can now address the various RMS-Industry 4.0 practices while keeping the social and environmental aspects in mind.Originality/valueNo previous research has investigated the SDGs through the nexus effect of Industry 4.0 and RMS practices.
“…The review is based on ‘Integrating operational excellence strategies with Industry 4.0 technologies through reconfigurable manufacturing system practices’ by Pansare et al (2022) and was published in The TQM Journal .…”
Purpose
This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.
Design/methodology/approach
This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
Findings
The research provides a framework for operational practices and Industry 4.0 technologies. They identify the relative importance of practices and performance metrics.
Originality/value
The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
The main aim of the current study is to investigate the relationship between governance characteristics, information technology governance, and continuity management during Covid-19 in an emerging economy. The study also examines the moderating role of information technology governance in the relationship between governance characteristics and business continuity management. The quantitative approach is used by utilising a survey questionnaire. A sample of 232 questionnaire surveys has been collected from the board of directors, top and middle management executives, external auditors, information technology experts, and some other respondents. The results were estimated using structural equation modelling. The results indicate that information technology governance has a statistically significant effect on business continuity. Board size, board independence, audit committee independence, audit committee diligence, and external audit have a statistically significant positive effect on information technology governance. Further, the results indicate that information technology governance significantly moderates the effect of board size, board independence, board diligence, audit committee independence, audit committee diligence, and external audit on business continuity. However, information technology governance does not moderate the relationship between board committees and business continuity, which indicates less board involvement in information technology governance. The current research provides insight into the role of information technology governance in business continuity management during crises. The present study provides a unique contribution as it investigates the relationship between corporate governance characteristics, information technology governance, and business continuity management during Covid-19, providing empirical evidence from an emerging country.
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