Reliability Assessment of a Plywood Production Facility Utilizing Laplace Transform and Runge-Kutta Fourth-Order Differential Equations: Overview of Industrial Plant

Authors

  • Suresh Kumar Sahani Lincoln University College Malaysia
  • Sai Kiran Oruganti Lincoln University College Malaysia
  • K. Satish Kumar Lincoln University College Malaysia and PG and Research Department of Computer Science Erode Arts and Science College, Erode Tamilnadu, India
  • Santosh Kumar Karna Faculty of Management, R.J.U, Nepal

DOI:

https://doi.org/10.63278/1453

Keywords:

Reliability engineering, Plywood manufacturing, Laplace transform, Runge-Kutta method, Failure prediction

Abstract

This research offers a thorough reliability analysis of essential machinery in a plywood production facility, employing the Laplace Transform for analytical solutions and the fourth-order Runge-Kutta (RK4) technique for numerical analysis. The study formulates a mathematical model to forecast failure rates and system dependability over time, substantiated by comparing data displayed in tables and graphical representations. The integrated method offers both precise and computationally efficient solutions for reliability optimization in industrial environments i.e.

This study conducts a thorough reliability analysis of a plywood production facility utilizing Laplace Transform methods and the Runge-Kutta Fourth-Order Differential Equation approach. The research is to evaluate the operational dependability of essential subsystems within the manufacturing process, using a combined analytical and numerical solution framework. Essential reliability parameters, including Mean Time to Failure (MTTF), system availability, and downtime, are calculated and examined.

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Published

2025-04-16

How to Cite

Suresh Kumar Sahani, Sai Kiran Oruganti, K. Satish Kumar, and Santosh Kumar Karna. 2025. “Reliability Assessment of a Plywood Production Facility Utilizing Laplace Transform and Runge-Kutta Fourth-Order Differential Equations: Overview of Industrial Plant ”. Metallurgical and Materials Engineering 31 (4):417-23. https://doi.org/10.63278/1453.

Issue

Vol. 31 No. 4 (2025)

Section

Research

License

Copyright (c) 2025 Suresh Kumar Sahani, Sai Kiran Oruganti, K. Satish Kumar, Santosh Kumar Karna

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