Browsing by Author "Wankhede, Vishal Ashok"

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Analysis of critical success factors of Quality 4.0 implementation in manufacturing SMEs using best–worst method
(The TQM Journal, 2024-12-19) Vinodh,Sekar; Wankhede, Vishal Ashok; Muruganantham, Ganesan
Purpose To attain a competitive edge, it is essential to realize the significant critical success factors (CSFs) that contribute to the adoption of Quality 4.0 (Q4.0) in manufacturing organizations. Therefore, the study aimed to analyze CSFs for Q4.0 implementation in manufacturing small and medium-sized enterprises (SMEs) using multi-criteria decision-making (MCDM) tool. Design/methodology/approach The present study begins with a systematic literature review of past studies about Q4.0 implementation in manufacturing, followed by the identification of CSFs. Further, a case study was conducted wherein 42 CSFs identified were grouped into five dimensions. Best–worst method is a MCDM tool applied as a solution methodology for the analysis of CSFs based on expert opinion and priority order of CSFs attained. Findings The priority order of CSFs is obtained. Based on the findings, significant CSFs are “Data prediction and Analytics,” “Organizational culture towards Quality 4.0” and “Machine to Machine communication.” Practical implications The shifting market dynamics incorporate Q4.0 inclusion for realizing zero defects and high traceability in automotive SMEs. The present study offers implications for industry managers and practitioners by delivering insights on how Q4.0 could be serving automotive systems and CSFs that industry authorities need to pay attention to effectively adopt Q4.0 in the current quality systems. The study will facilitate industry practitioners to meticulously examine CSFs for Q4.0 toward the improvement of SME performance. Originality/value The identification of CSFs for Q4.0 adoption in manufacturing SMEs, along with the prioritization of CFSs using the MCDM tool, is the original contribution by the authors.
Industry 4.0 for Manufacturing Systems Concepts, Technologies, and Applications
(CRC Press, 2025-04-24) Wankhede, Vishal Ashok; Pankaj Sahlot, , Vimal K.E.K.
Integrating Industry 4.0 for Manufacturing Systems Concepts, Technologies, and Applications
(CRC Press, 2025) Wankhede, Vishal Ashok; K.E.K., Vimal; Sahlot, Pankaj
Research issues in Industry 4.0
(Industry 4.0 for Manufacturing Systems: Concepts, Technologies, and Applications, CRC Press, 2025-03-05) Gaikwad, Priyanka B; Wankhede, Vishal Ashok
The book highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving toward the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0. Key features: Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems. Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing. Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0. Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems. Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0. This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering.
Unveiling the nexus of Industry 4.0 and Lean Six Sigma for sustainable development: insights from bibliometric and structural topic modeling analysis Available to Purchase
(Industry 4.0, Lean Six Sigma, Lean, Sustainability, Sustainable manufacturing, 2025-03-25) Wankhede, Vishal Ashok; Agrawal, Rohit
Purpose This study aims to investigate the alignment between Industry 4.0 and Lean Six Sigma (LSS) in the context of sustainable development, focusing on the reasons for the growing attention to this integration and its implications for sustainability. Design/methodology/approach This research is designed based on literature overview using a review of bibliometric analysis and structural topic modeling of existing literature to provide evidence on the relationship among Industry 4.0 technologies, LSS practices and sustainable organizational performance. Findings It is evident from the study that incorporating Industry 4.0 technology with LSS can lead to a great sustainable manufacturing. With the use of digital tools such as Internet of Things sensors, advanced analytics and artificial intelligence, organizations significantly improve real-time monitoring, improve resource allocation and apply predictive maintenance, thus minimizing waste and the environmental effect. This approach also propels innovation and agility and fosters a culture of continuous improvement while evolving around higher-level topics around quality control and strategic management. Findings reveal that these integrations ensure operational excellence and sustainable development. Research limitations/implications The study provides guidelines for researchers and practitioners working on integration of Industry 4.0 technologies and LSS for enhancing the environmental and resource performance in manufacturing. Originality/value The novelty of the research is the integration of the knowledge existing on Industry 4.0 and LSS and its contribution in sustainable development perspectives. Moreover, this study may also be useful for other researchers because it provides a general overview of the trends and theoretical contribution that are practically confirmed in the empirical level.