Alok Kumar Mukhopadhyay

TL;DR: This study is made to assist engineers to identify the critical and sensitive subsystems in the draglines for better maintenance planning which will lead to enhance equipment availability, reduce the maintenance cost and production loss.

TL;DR: In this paper, the authors developed an innovative agile model using the lean, smart, and green approach to improve operational performance within limited constraints in Industry 4.0 by reviewing research articles conducted over the past decades on process optimization approaches that include lean manufacturing, smart manufacturing, kaizen, and lean six sigma.

TL;DR: This paper addresses the obstacle faced while analysing the reliability of dumpers was the availability of a large number of data failures by using Common Beta Hypothesis test and Meta-analysis test and shows fuel supply subsystems show the highest reliability while the lowest value is seen for self-starting subsystems.

TL;DR: In this article, a curve fitting technique and graphical methods to adumbrate the bead parameters were used to predict the weld bead geometry in Gas metal arc welding (GMAW), and extensive experiments were carried out to derive the mathematical equations with different welding parameters.

TL;DR: The present study describes the approach in the reliability estimation of diesel engines and the components of industrial heavy load carrier equipment used in mines for transporting ore and finds that the grouping of an extremely small number of failure data is possible and could be very easily carried out.