Automated Batch Process Delay Detection System
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Solution Overview
Problem
In large enterprises, monitoring backend batch processes to identify delays and determine their causes is cumbersome and time-consuming, often requiring manual observation, which can lead to downstream operational issues and regulatory violations due to the high volume of batch processes that may not complete within predetermined time frames.
Innovation Solution
A system and method that monitor backend batch processes on a regular interval to identify which processes are delayed, determine the delay period, and generate reports or update a batch process status portal, allowing for real-time identification of causes and implementation of corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual observation methods are used to monitor backend batch processes, then operational simplicity is maintained, but monitoring efficiency and timeliness deteriorate due to the high volume of processes requiring surveillance
Solution Approach 1:
The patent introduces an intermediary monitoring system that acts as a mediator between the backend batch processes and human operators. This system automatically collects process status data, compares it against scheduled timelines, identifies delays, and presents consolidated information to operators, thereby eliminating the need for manual observation of numerous individual processes while maintaining operational simplicity
Solution Approach 2:
The monitoring system performs self-service by automatically executing the monitoring, data collection, analysis, and reporting functions without requiring human intervention. The system autonomously identifies delayed processes and generates notifications, freeing operators from manual monitoring tasks while improving monitoring efficiency across the entire batch process portfolio
2Loss of time
If manual monitoring of batch processes is performed, then system complexity remains low, but response time and detection capability worsen due to the time-consuming nature of manual observation
Solution Approach 1:
The system performs preliminary actions by continuously and proactively monitoring batch process status and comparing it against scheduled timelines before delays become critical. This advance detection capability allows the system to identify delayed processes real-time, enabling earlier intervention and remediation while maintaining relatively simple system architecture through automated rule-based comparison logic
3Reliability
If comprehensive monitoring of all backend batch processes is implemented, then monitoring coverage and reliability improve, but operational complexity and resource requirements worsen
Solution Approach 1:
The patent applies segmentation by dividing the comprehensive monitoring task into distinct functional modules: data collection from individual batch processes, centralized comparison against scheduled timelines, delay identification logic, and notification generation. This modular segmentation enables reliable monitoring of all processes while keeping each component operationally simple and易于 to maintain
Solution Approach 2:
The system merges individual process monitoring into a unified centralized monitoring framework that consolidates data from multiple batch processes. By combining monitoring efforts at the system level rather than requiring separate manual monitoring of each process, the system achieves comprehensive coverage and high reliability while simplifying operational management through a single integrated interface
Data Source
AI summary
Monitoring backend batch processes/agents to identify currently enabled batch processes that running/executing on schedule and those that are not running/executing on schedule. In the event that currently enabled backend batch processes are identified as delayed, a delay time is determined. Such determinations are made on a regular interval, (e.g., hourly or the like), such that, reports is generated and communicated and/or a batch process status portal is updated on the regular interval to reflect the current delayed status of batch process or, in some embodiments, the current status of all of the backend batch processes currently enabled within an enterprise. Identification of backend batch processes that are currently being delayed and the associated delay time provides a basis for determining the cause(s) for the delay and possible corrective action(s), which may be implemented in conjunction with the determinations.