RPA Execution Permission Management Across Platforms
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Solution Overview
Problem
Robotic process automation (RPA) systems face challenges in ensuring reliable execution of software robots due to unavailable resources and lack of effective tracking and evaluation of performance and cost savings.
Innovation Solution
Implementing a cross-platform execution management system using an automation management server that interacts with a status database to determine resource availability and administrative requirements, allowing for controlled execution of software robots and recording milestones for performance monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If software robots are executed without centralized permission management, then execution speed is improved, but execution reliability deteriorates due to resource unavailability
Solution Approach 1:
The system performs preliminary actions by checking resource availability and administrative requirements before software robot execution. The automation management server evaluates status data in the status database beforehand to determine execution permission, ensuring resources are available before the robot starts running. This prevents execution failures due to resource unavailability while maintaining efficient execution when permissions are granted.
2Reliability
If centralized execution management is implemented, then execution reliability is improved, but system complexity increases
Solution Approach 1:
The automation management server serves as an intermediary between software robots and the status database. It centralizes the management of execution permissions by receiving requests from software robots, querying the status database for resource availability and administrative requirements, and returning permission decisions. This intermediary approach consolidates complexity into a single component rather than distributing it across multiple systems, making the overall architecture more manageable while ensuring reliable execution control.
3Measurement precision
If performance tracking is implemented, then evaluation capability is improved, but data collection overhead increases
Solution Approach 1:
The system implements feedback by recording milestone data that reflects software robot execution performance. The milestone management server receives execution results and stores them in the status database, creating a feedback loop that provides performance information back to the system. This allows evaluation of software robot effectiveness and resource utilization without requiring continuous monitoring during execution, minimizing data collection overhead while maintaining precise evaluation capability through periodic milestone recording.
Data Source
AI summary
Robotic process automation (RPA) systems with improved execution management are disclosed. One aspect of certain embodiments can provide cross-platform execution management of software robots by operating an automation management server to receive and respond to a request for permission to execute a particular software robot. The automation management server can interact with a status database to obtain status data, administrative approvals and/or dependency data for the software robot to determine whether the software robot should be given permission to execute. Another aspect of certain embodiments can support milestone recordation after a software robot completes its execution. The milestone being recorded can denote that the corresponding software robot has executed and its execution status. The milestones can provide for greater performance and/or value monitoring.