Automated Cargo Loss Reconciliation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for calculating cargo loss during transportation are inefficient due to incomplete and inconsistent loss reports, leading to difficulties in determining total voyage losses and implementing corrective measures, resulting in potential financial losses for companies.
Innovation Solution
A cargo management system that includes client computing devices and a cargo management system with components for data storage, parcel grouping, loss reconciliation, and validation, enabling accurate calculation and reporting of cargo losses through automated and manual processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection and calculation methods are used, then flexibility and adaptability are maintained, but productivity and accuracy of loss reconciliation deteriorate
Solution Approach 1:
The patent replaces manual inspection and calculation processes with an automated computer-based system that electronically receives, validates, and processes loss report data. This substitution of mechanical/manual operations with automated computational processes directly resolves the contradiction by dramatically improving productivity and accuracy while managing system complexity through modular software architecture.
Solution Approach 2:
The system performs self-validation of loss reports by automatically checking data consistency, completeness, and mathematical accuracy without requiring manual intervention. The computer system serves itself by identifying errors, requesting corrections, and recalculating losses autonomously, thereby improving productivity while keeping the system relatively simple through rule-based validation logic.
2Productivity
If automated processing is implemented, then productivity improves, but the system becomes more complex and difficult to operate
Solution Approach 1:
The system incorporates feedback mechanisms where the computer automatically validates loss reports and provides specific error messages when data is incomplete or inconsistent. The system requests corrections from users and confirms when corrections are made, creating a closed-loop process that guides users through the system and simplifies operation despite the automated processing complexity.
Solution Approach 2:
The patent introduces an intermediary validation layer between data input and final loss calculation. The computer system acts as a mediator that automatically checks data quality, communicates issues to users, and manages the correction process, thereby shielding users from the complexity of the automated processing while maintaining high productivity.
3Measurement precision
If comprehensive data collection is performed, then measurement precision improves, but loss of time increases due to data gathering and validation
Solution Approach 1:
The system performs preliminary validation of loss reports as they are received, checking for completeness and consistency before final processing. By validating data early in the process rather than after complete data collection, the system identifies and requests corrections promptly, thereby maintaining high measurement precision while minimizing time loss through early error detection and correction.
4Reliability
If multiple validation checks are performed, then reliability of loss reconciliation improves, but device complexity increases
Solution Approach 1:
The validation system is segmented into multiple independent modules, each responsible for a specific validation check (e.g., data completeness, mathematical consistency, logical validity). This segmentation allows the system to perform comprehensive validation with high reliability while managing complexity through modular design, where each module can be developed, tested, and maintained independently.
Data Source
AI summary
A cargo management system receives parcel data associated with cargo on a vessel. The parcel data may include bill of lading date, successor and predecessor data, cargo type data, and the like. The cargo management system identifies parcels that may be related, performs a parcel validation on the identified parcels, and receives or determines a relationship between the parcels. Then, the cargo management system performs voyage validation on the related parcels to create a voyage. The cargo management system then calculates a loss associated with each parcel, between parcels, and the entire voyage.