Citation :

Shashank Pasupuleti, 2023. "Modeling And Simulation In Robotic Process Automation: Exploring Potential For Speed And Efficiency In Critical Systems" ESP International Journal of Advancements in Science & Technology (ESP-IJAST)  Volume 1, Issue 2: 63-69.

Abstract :

This paper delves into the pivotal role of Modeling and Simulation (M&S) techniques in enhancing the speed, efficiency, and reliability of Robotic Process Automation (RPA) within critical systems. As automation continues to reshape industries such as healthcare, manufacturing, logistics, and beyond, the need for robust, pre-deployment testing has become increasingly apparent. M&S techniques, by creating virtual environments to simulate robotic workflows, enable the identification of inefficiencies, bottlenecks, and potential risks, allowing for the optimization of RPA systems before their full-scale implementation. These techniques ensure that the automated systems operate seamlessly, minimizing risks and maximizing operational effectiveness in high-stakes environments. Specifically, this paper explores key M&S methods such as Discrete Event Simulation (DES), process modeling, and system dynamics, and highlights their application through detailed case studies. Through these case studies, the paper demonstrates how M&S methods can significantly improve RPA performance, providing insight into the benefits and challenges faced by organizations in healthcare, manufacturing, and logistics. The integration of M&S helps refines robotic workflows, enhance decision-making capabilities, and ensure that RPA solutions can effectively address complex operational needs in dynamic and critical systems. Additionally, the paper discusses limitations and challenges in applying M&S to RPA, including model accuracy, computational resource demands, and the complexity of simulating human-like decision-making processes, all of which impact the overall effectiveness of M&S in RPA development.

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Keywords :

Robotic Process Automation, Modeling And Simulation, Efficiency, Speed, Critical Systems, Process Modeling, Discrete Event Simulation, System Dynamics, Automation Optimization, Simulation Techniques, Robotic Workflows, Process Optimization, Simulation Models, System Performance, Critical Systems, Efficiency Improvement, Workflow Automation, Industrial Automation, Healthcare Automation, Robotics In Manufacturing, , Simulation Tools, Robotic Systems, Process Simulation, Predictive Modeling, Workflow Modeling, Feedback Loops, Complex Systems Modeling, Automation Challenges.