Inventory Issue Tracking With Automated Ticket Consolidation
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Solution Overview
Problem
Inefficient and inaccurate identification of supply chain issues in long supply chains leads to significant management costs and downstream problems due to reliance on human operators, which can be challenging to maintain efficiency and accuracy.
Innovation Solution
A computer-implemented method for supply chain management that generates events, identifies and validates issues, and automatically generates computer tickets to report them, utilizing various databases to reduce human intervention and improve time efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If human operators are used to identify supply chain issues, then flexibility in handling complex situations is maintained, but efficiency and accuracy deteriorate due to manual processing limitations
Solution Approach 1:
The patent replaces manual human operator processing with an automated computer-implemented system that continuously monitors inventory data, generates events, identifies issues, validates them against rules, and generates computer tickets. This substitution of mechanical/manual operations with automated electronic processing directly resolves the contradiction by improving both efficiency (productivity) and accuracy (reliability) of supply chain issue identification.
Solution Approach 2:
The system performs self-service through automated event generation, issue identification, validation, and ticket creation without requiring continuous human intervention. The system monitors itself, detects anomalies, and generates appropriate responses autonomously, thereby maintaining high efficiency and accuracy while reducing dependency on human operators.
2Reliability
If continuous monitoring of inventory data is implemented, then early-stage issue identification is improved, but system complexity increases due to multiple databases and validation rules
Solution Approach 1:
The patent segments the supply chain monitoring system into distinct functional modules: data collection module, event generation module, issue identification module, validation module, and computer ticket generation module. Each module operates independently but connects through standardized interfaces, allowing continuous monitoring for early issue detection while managing complexity through modular architecture.
Solution Approach 2:
The system performs preliminary actions by pre-establishing validation rules, issue templates, and ticket templates in databases before actual issue occurrence. This allows the system to quickly identify and validate issues as they occur without complex real-time decision-making, thereby achieving early-stage identification while simplifying the operational complexity during execution.
3Quantity of substance
If automated ticket generation is implemented, then labor costs are reduced, but ticket flooding occurs when multiple issues are detected simultaneously
Solution Approach 1:
The patent merges multiple issue-related computer tickets into a single consolidated ticket when issues share common features such as the same inventory item, supply chain event, or root cause. This consolidation approach reduces the total number of tickets generated during automated monitoring, thereby preventing ticket flooding while maintaining comprehensive issue tracking and reducing labor costs through automation.
Solution Approach 2:
The system incorporates feedback mechanisms where generated computer tickets are tracked and monitored. When multiple issues are detected, the system uses feedback information about previously generated tickets and issue patterns to determine consolidation opportunities, preventing ticket flooding while maintaining accurate issue reporting and reducing automated ticket volume.
Data Source
AI summary
A computer-implemented method for supply chain management is provided. In one example, the method includes: validating a supply chain event involving an inventory item based on a pre-established rule; determining presence or absence of a supply chain issue regarding the inventory item based on the validation; determining an issue type of the supply chain issue based on model issue types from an issue database; validating the supply chain issue based on pre-established issue templates from the issue database; generating one or more solutions to solving the supply chain issue; generating a computer ticket reporting the supply chain issue based on a pre-established ticket template from a ticket database; and transmitting the computer ticket to a support service.