National Institute of Technology Tiruchirappalli

Viscosity estimation from elastohydrodynamic response of a magnetic flagellated microswimmer

Reliable viscosity measurement at small length scales is essential for a wide range of applications, from microfluidics to biomedical systems. The magnetic flagellated microswimmers, whose dynamics arise from the coupled effects of elasticity, hydrodynamics, and magnetic actuatio...

Mapping the landscape of critical failure factors in Lean Six Sigma 4.0 implementation: an ISM–DEMATEL approach

Purpose Lean Six Sigma 4.0 (LSS 4.0) transforms business operations by integrating Lean Six Sigma (LSS) with Industry 4.0 (I4.0), thereby enhancing operational excellence, resilience, sustainability and human factors such as ergonomics and hedonomics. Both developed and developin...

Iron-induced demethoxylation of lignin as an important source for methanol and its oxidation products in the environment

Abstract Lignin, the largest reservoir of aromatic carbon in plants and soils, undergoes well-characterized biological demethylation by fungi and bacteria, and is industrially processed under harsh conditions to generate bio-based aromatics. However, the abiotic fate of lignin-de...

Fuzzy AHP–TOPSIS framework for identifying barriers and strategies for integrated Lean–BIM adoption in the Indian construction industry

Purpose Lean construction (LC) and building information modelling (BIM) are viewed as complementary approaches for improving operational efficiency and value delivery in construction projects. Nevertheless, their combined implementation within the Indian construction industry rem...

Digital Paradox Navigation: A Second‐Order Cybernetic Framework for Organisational Reflexivity in Digital Transformation

ABSTRACT This study develops and empirically examines the Digital Paradox Navigation (DPN) framework, which integrates second‐order cybernetics with digital transformation theory to explain how organisations manage paradoxical tensions through reflexive self‐observation. Using a...

Machine learning for mechanical property assessment and optimisation in hybrid natural fibre/epoxy composites

The development of sustainable engineering materials and rising environmental awareness has encouraged the development of research in high performance natural fibre reinforced polymer composites. This study aims to provide a comprehensive experimental and machine learning based s...

Structural modeling of Industry 4.0 challenges in SMEs: An integrated TISM–MICMAC approach

The manufacturing industry is undergoing a transition from conventional manufacturing processes to process automation, with particular emphasis on factors contributing to its sustainability. Understanding the complexities of Industry 4.0 is fundamental for devising strategies tha...