Delivery Route Analysis for Real-Time Anomaly Detection
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Solution Overview
Problem
Existing delivery route management systems rely on manual route understanding by carriers and supervisors, which is inefficient and prone to human error, and do not effectively capture real-time route conditions and anomalies.
Innovation Solution
A delivery route management system comprising a server, route database, and mobile computing devices that collect and analyze periodic location data to update baseline information, detect out-of-bounds travel, and provide notifications, while integrating geofence data and route condition information to optimize delivery routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual route understanding by carriers and supervisors is used, then operational flexibility is maintained, but efficiency is reduced and human error increases
Solution Approach 1:
The patent replaces manual mechanical route understanding with an automated electronic system that collects location data from mobile devices, processes it through servers, and generates optimized routes. This substitution eliminates human error in route management while maintaining operational flexibility through automated adjustments based on real-time data.
Solution Approach 2:
The system enables self-service by allowing the automated route management system to independently collect, analyze, and optimize delivery routes without requiring manual carrier or supervisor intervention. The system serves itself by automatically updating baseline information and generating optimized routes based on collected location data.
2Measurement precision
If automated location data collection is implemented, then measurement precision of route conditions is improved, but device complexity increases
Solution Approach 1:
The mobile computing devices serve multiple functions: they collect location data, store baseline information, provide notifications to carriers, and enable route optimization. This multi-functionality reduces the need for separate specialized devices, thereby limiting the increase in device complexity while maintaining high measurement precision.
Solution Approach 2:
The server acts as an intermediary that processes location data from multiple mobile devices, manages baseline information, and generates optimized routes. This centralization of complex processing functions in a single intermediary system reduces the complexity burden on individual mobile devices and carrier equipment.
3Manufacturing precision
If real-time location data is collected and analyzed, then route optimization accuracy is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary actions by collecting and storing baseline route information in advance during normal operations. When optimization is needed, the system compares real-time location data against this pre-stored baseline, significantly reducing processing time while maintaining high optimization accuracy through incremental updates rather than complete reanalysis.
Data Source
AI summary
Systems and methods for analyzing and improving delivery resource operation and efficiency. A delivery resource carries a mobile computing device which transmits delivery information to a server. The server combines the delivery information with stored route information for the route the delivery resource traverses to identify anomalies, to change routing, to dispatch additional resources, provide delivery predictions, and to improve overall performance.