Multistate System Performance Analysis Incorporating Human Error, Mathematical modeling and Reliability Approach

Authors

  • Amit Kumar Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU), Lavale, Pune, Maharashtra, India
  • Pardeep Kumar Lovely Professional University, Chaheru, Phagwara, Punjab, India
  • Majid Forghani-elahabad Federal University of ABC, Santo André, São Paulo, Brazil

DOI:

https://doi.org/10.25728/assa.2024.24.1.1420

Keywords:

Reliability measures, Unplanned outages, Sensitivity analysis, Sugar mill

Abstract

This paper proposes a novel framework for analyzing the performance of a Sugar mill (Wahid Sugar Mill, situated in Punjab, India) with human errors, mathematical modeling, and reliability approach. The proposed framework considers the complex interactions between the different components of the Sugar mill and the potential impact of human error on the same. The performance of the considered system is affected by the different components failures and unplanned outages. Considering these facts, a mathematical model is developed for the sugar mill to calculate different reliability measures such as availability, reliability, and MTTF. The mathematical modeling aspect of the framework utilizes Markov chains to model the stochastic behavior of the sugar mill. The authors also perform sensitivity analysis to identify the impact of different components' failure on the performance of the same. The results of the paper demonstrate the potential of the proposed framework in providing valuable insights into the performance of the Sugar Mill under different scenarios, including the impact of human error.

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Published

2024-04-02

How to Cite

Kumar, A., Kumar, P., & Forghani-elahabad, M. (2024). Multistate System Performance Analysis Incorporating Human Error, Mathematical modeling and Reliability Approach. Advances in Systems Science and Applications, 24(1), 114–128. https://doi.org/10.25728/assa.2024.24.1.1420