Purpose -The purpose of this paper is to investigate the dimensions of TQM, analyse interrelationships and their combined influence on results achieved in ISO certified engineering institutes in India. Design/methodology/approach -This study is based on the questionnaire survey of a sample of 216 faculty members serving in various ISO certified institutes of southern states of India. The data were obtained using a questionnaire that is in line with the self-assessment philosophy of European Foundation for Quality Management Excellence Model (EFQM). The dataset was subjected to exploratory factor analysis using SPSS17.0 program for Windows. The confirmatory and causal analyses were carried out using AMOS 16.0 software. Findings -The factor analysis confirmed the existence of ten important dimensions of TQM that guide ISO institutes in their quality journey. Structural equation modelling was used to validate the developed TQM model. Leadership of top management was the main driving force for establishing an effective quality management system (QMS) in engineering institutes.Research limitations/implications -The main limitation is related to the notion of causality. The study has considered perception data for the predictive analysis. Practical implications -The paper unfolds ten important TQM factors that need attention from education administrators to manage quality in engineering education. The six enablers of the proposed TQM model significantly influence result criteria. The results obtained in this study encourage academic leaders to implement TQM concepts in their institutes to achieve a higher level of stakeholder satisfaction. Originality/value -The paper is a new contribution to broad understanding of TQM concepts and their impact on performance measures in engineering education in India.

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Whether it is a plant- or animal-based bio-inspiration design, it has always been able to address one or more product/component optimisation issues. Today’s scientists or engineers look to nature for an optimal, economically viable, long-term solution. Similarly, a proposal is made in this current work to use seven different bio-inspired structures for automotive impact resistance. All seven of these structures are derived from plant and animal species and are intended to be tested for compressive loading to achieve load-bearing capacity. The work may even cater to optimisation techniques to solve the real-time problem using algorithm-based generative shape designs built using CATIA V6 in unit dimension. The samples were optimised with Rhino 7 software and then simulated with ANSYS workbench. To carry out the comparative study, an experimental work of bioprinting in fused deposition modelling (3D printing) was carried out. The goal is to compare the results across all formats and choose the best-performing concept. The results were obtained for compressive load, flexural load, and fatigue load conditions, particularly the number of life cycles, safety factor, damage tolerance, and bi-axiality indicator. When compared to previous research, the results are in good agreement. Because of their multifunctional properties combining soft and high stiffness and lightweight properties of novel materials, novel materials have many potential applications in the medical, aerospace, and automotive sectors.

Over the years, technological developments and innovation in the area of manufacturing have evolved which is known as industry 4.0(I4.0), and has increased the consideration of all the researchers, enterprises and countries. Manufacturing enterprises are facing manifold challenges arising due to their internal and external situations. Similarly, choices have to be made among various available disruptive technologies, like IoT (Internet of Things), CPS (Cyber-Physical Systems) and cloud-based production. Thus, the need of the hour for manufacturing enterprise is to understand Industry 4.0, subsequently, it is necessary to assist the manufacturing enterprises to assess their Industry 4.0 preparedness. German’s National Academy of Science and Engineering (acatech) has developed Industry 4.0 Maturity Assessment for establishing manufacturing enterprises Industry 4.0 maturity and identifying areas where actions are required to realize higher maturity stage in implementation of Industry 4.0. In this article, a review of literature is made to comprehend the concept of Industry 4.0, and with focus on maturity models. Furthermore, the articles discuss the challenges, research gaps between the current status of manufacturing and I4.0. The findings of this review article may be the basis for understanding the challenges and designing a maturity model considering various dimensions of I4.0.