Author : Meenakshi Rao
Abstract : Stochastic processes play a critical role in modeling and analyzing engineering systems subjected to uncertainty. This paper delves into various applications of stochastic processes across different engineering domains, including queueing theory, reliability engineering, and signal processing. The study highlights key concepts such as Markov chains, Poisson processes, and Brownian motion, demonstrating their practical relevance through real-world engineering problems. Case studies are presented to illustrate how stochastic models can be applied to optimize system performance, predict system failures, and enhance decision-making under uncertainty. The paper also discusses the mathematical foundations of stochastic processes and their computational implementations, providing engineers with valuable insights into managing randomness in engineering systems.
Keywords : Stochastic Processes, Markov Chains, Queueing Theory, Reliability Engineering, Signal Processing
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