Revolutionize Alarm Management: Streamlining Processes with RoRPAic Process Automation (RPA) for Dynamic Attribute Tables

Abstract Alarm management is a critical component in various industries, essential for the timely detection and response to system anomalies and failures. The cornerstone of effective alarm management is the comprehensive preparation and maintenance of variable tables that accurately map alarms to their associated attributes. Traditionally, this task relies heavily on manual data entry, which is not only time-consuming but also prone to human error and resource-intensive. To address these challenges, we are introducing an innovative approach that leverages Robotics Process Automation (RPA) to automate the preparation of these variable tables. The integration of RPA into this process offers several significant advantages: enhanced efficiency by drastically reducing the time required for preparation and maintenance, improved accuracy by minimizing human involvement and thereby reducing errors, and optimized resource utilization by freeing up personnel to focus on more strategic and value-added activities. Additionally, RPA provides a scalable solution capable of handling large volumes of data without compromising performance or accuracy. This novel approach not only streamlines the process of alarm management but also sets a new benchmark for how industries can harness advanced technologies to enhance operational efficiency and reliability. By adopting RPA, organizations can achieve higher levels of accuracy, optimize resource utilization, and scale their operations more effectively, ultimately leading to improved overall system performance and resilience. Furthermore, we are planning to replicate the success of RPA in the Control and Automation (C&A) discipline and extend its application to the preparation of other critical deliverables, such as the instrument index, load list, and line list. Our efforts also include making this innovative solution available in the cloud, enabling other engineering design consultants to fully benefit from the efficiencies and improvements RPA offers, facilitating broader access, collaboration, and scalability for enhanced project execution and seamless workflow integration.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222443-ms
Citations
1
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.53
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article

Revolutionize Alarm Management: Streamlining Processes with RoRPAic Process Automation (RPA) for Dynamic Attribute Tables

Ahmed Al Abri, F. Al Kalbani
1 citations
Business Process Modeling and Analysis
0.53
article

Revolutionize Alarm Management: Streamlining Processes with RoRPAic Process Automation (RPA) for Dynamic Attribute Tables

Ahmed Al Abri, F. Al Kalbani
article en
1 citations

Abstract

Abstract Alarm management is a critical component in various industries, essential for the timely detection and response to system anomalies and failures. The cornerstone of effective alarm management is the comprehensive preparation and maintenance of variable tables that accurately map alarms to their associated attributes. Traditionally, this task relies heavily on manual data entry, which is not only time-consuming but also prone to human error and resource-intensive. To address these challenges, we are introducing an innovative approach that leverages Robotics Process Automation (RPA) to automate the preparation of these variable tables. The integration of RPA into this process offers several significant advantages: enhanced efficiency by drastically reducing the time required for preparation and maintenance, improved accuracy by minimizing human involvement and thereby reducing errors, and optimized resource utilization by freeing up personnel to focus on more strategic and value-added activities. Additionally, RPA provides a scalable solution capable of handling large volumes of data without compromising performance or accuracy. This novel approach not only streamlines the process of alarm management but also sets a new benchmark for how industries can harness advanced technologies to enhance operational efficiency and reliability. By adopting RPA, organizations can achieve higher levels of accuracy, optimize resource utilization, and scale their operations more effectively, ultimately leading to improved overall system performance and resilience. Furthermore, we are planning to replicate the success of RPA in the Control and Automation (C&A) discipline and extend its application to the preparation of other critical deliverables, such as the instrument index, load list, and line list. Our efforts also include making this innovative solution available in the cloud, enabling other engineering design consultants to fully benefit from the efficiencies and improvements RPA offers, facilitating broader access, collaboration, and scalability for enhanced project execution and seamless workflow integration.

Muscat College (OM)
Openalex Percentile: Top 25%
Business Process Modeling and Analysis
0.53
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