Faculty Publications
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Item Development of a framework for Poka-Yoke system performance assessment during the service design for attaining leanness(International Journal of Lean Six Sigma, 2025-12-02) James, Ajith Tom; Kumar, Girish; Goyal, Manasvi; Prakash, PrachiPurpose This paper aims to develop a framework for assessing the futuristic Poka-Yoke system performance of service businesses toward attaining leanness during their design phase considering various factors enhancing Poka-Yoke system performance. The paper also attempts to validate the framework by implementing it in the service business of pathology laboratories. Design/methodology/approach Various factors and subfactors that enhance Poka-Yoke system performance are identified through literature. A structural methodology based on graph theory and matrix approach is applied to developing the Poka-Yoke system performance index (PYSPI). The Poka-Yoke enhancing factors and their interrelations, with due consideration of their structure, are modeled through graph theory. The performance factor digraph is defined; the nodes of this represent the Poka-Yoke enhancing factors, while the edges represent their degrees of interrelationship. The equivalent matrix of the digraph forms a Poka-Yoke system performance function that will yield the evolution of the PYSPI.Item 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, RohitPurpose 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.