Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance

Applied Sciences, Год журнала: 2025, Номер 15(2), С. 854 - 854

Опубликована: Янв. 16, 2025

This paper proposes a sustainable model for integrating robotic process automation (RPA) and machine learning (ML) in predictive maintenance to enhance operational efficiency failure prediction accuracy. The research identified key gap the literature, namely limited integration of RPA, ML, sustainability manufacturing, which led development this model. Using PICO methodology (Population, Intervention, Comparison, Outcome), study evaluated implementation these technologies Alpha Company, comparing results before after model’s adoption. intervention integrated RPA ML improve accuracy optimize operations. Results showed 100% increase mean time between failures (MTBF), 67% reduction repair (MTTR), 37.5% decrease costs, 71.4% unplanned downtime costs. Challenges such as initial costs need continuous training were also noted. Future could explore big data AI further demonstrates that leads improvements, cost reductions, environmental benefits, contributing industrial

Язык: Английский

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Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics

Sensors, Год журнала: 2025, Номер 25(3), С. 765 - 765

Опубликована: Янв. 27, 2025

This article focuses on the integration of Internet Things (IoT) and Robotic Things, representing a dynamic research area with significant potential for industrial applications. The (IoRT) integrates IoT technologies into robotic systems, enhancing their efficiency autonomy. provides an overview used in IoRT, including hardware components, communication technologies, cloud services. It also explores IoRT applications industries such as healthcare, agriculture, more. discusses challenges future directions, data security, energy efficiency, ethical issues. goal is to raise awareness importance demonstrate how this technology can bring benefits across various sectors.

Язык: Английский

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Workflow Automation Engines: Driving Innovation in Cloud-Native and AI-Enhanced Business Processes

International Journal of Scientific Research in Computer Science Engineering and Information Technology, Год журнала: 2025, Номер 11(1), С. 282 - 289

Опубликована: Янв. 3, 2025

This comprehensive article examines the evolution and impact of workflow automation engines in modern business environments, focusing on their integration with cloud-native technologies artificial intelligence. The explores how these serve as fundamental enablers digital transformation, offering organizations enhanced operational efficiency, process consistency, scalability. shows various industry applications across healthcare, financial services, e-commerce, manufacturing, public sectors, demonstrating versatile benefits automation. It analyzes emerging trends, including AI integration, low-code/no-code platforms, hyperautomation, optimization, while addressing strategic implementation considerations such cloud infrastructure decision point orchestration, scalability planning, cross-platform standardization. Through extensive analysis real-world implementations data, highlights have revolutionized processes, enabling to achieve excellence maintaining flexibility adaptability an increasingly landscape.

Язык: Английский

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Implementation of a Sustainable Framework for Process Optimization Through the Integration of Robotic Process Automation and Big Data in the Evolution of Industry 4.0

Processes, Год журнала: 2025, Номер 13(2), С. 536 - 536

Опубликована: Фев. 14, 2025

This study explores the integration of Robotic Process Automation (RPA) and Big Data within a sustainable framework for process optimization in context Industry 4.0. As industries strive to enhance operational efficiency while maintaining sustainability, need innovative solutions has become crucial. The research applies PICO methodology (Population, Intervention, Comparison, Outcome) assess impact combining these technologies on sustainability. Through real-world case study, demonstrates that RPA significantly reduces execution times, minimizes errors, promotes business practices. results show combined not only enhances but also contributes lower economic, environmental, social impacts. findings validate hypotheses, proving proposed fosters balance between technological advancement provides valuable insights into potential 4.0 drive both corporate responsibility, offering novel approach seeking embrace digital transformation achieving long-term growing body knowledge synergy RPA, Data, sustainability industrial contexts.

Язык: Английский

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Framework for Integrating Requirements Engineering and DevOps Practices in Robotic Process Automation with a Focus on Optimizing Human–Computer Interaction

Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3485 - 3485

Опубликована: Март 22, 2025

This study introduces FRIDA, a novel framework that integrates Requirements Engineering (RE) and DevOps practices into Robotic Process Automation (RPA), with focus on optimizing human–computer interaction (HCI). The was designed using the PICO (Population, Intervention, Comparison, Outcome) methodology evaluated through case in an automation-driven department. Key results include 83% reduction processing time, 81.25% decrease error rates, 80% manual tasks, alongside improved compliance scalability. integration of RE ensures structured approach to requirement management continuous delivery, while emphasis HCI enhances user-friendliness adoption. FRIDA represents significant advancement RPA development, offering robust, user-centric solution for automated processes. Future research should explore its application across diverse industries advanced technologies like AI machine learning further enhance capabilities.

Язык: Английский

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Environmental and public health risk management, remediation and rehabilitation options for impacts of radionuclide mining

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Март 26, 2025

Язык: Английский

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