Trailer Utilization via Dimensional Scanning and Network Optimization
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Solution Overview
Problem
Current methods for determining trailer utilization in the shipping industry are inefficient, relying on visual estimates that lack precision and accuracy, failing to optimize delivery networks effectively.
Innovation Solution
A system utilizing dimensional scanners to measure package dimensions and unique identification codes, combined with network entities to calculate and determine trailer utilization, providing precise and automated assessment of trailer volume and optimization opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to determine trailer utilization, then the process is simple and quick, but the measurement precision and accuracy are insufficient
Solution Approach 1:
The patent replaces manual visual inspection with automated optical scanning systems. Dimensional scanners and identification code scanners automatically capture package data, eliminating the need for human visual estimation. This substitution of mechanical/physical measurement with automated sensing technology directly resolves the contradiction by providing precise measurements without proportionally increasing system complexity.
Solution Approach 2:
The system enables self-service measurement where the scanning equipment automatically captures package dimensions and identification codes, and the network entity autonomously calculates utilization metrics. The system serves itself by automatically processing data through standardized algorithms, eliminating manual intervention while maintaining measurement precision without requiring complex human-operated systems.
2Measurement precision
If automated scanning systems are implemented to measure package dimensions and calculate utilization, then measurement precision improves, but device complexity and implementation cost increase
Solution Approach 1:
The scanning system is designed to perform multiple functions: capturing package identification codes, measuring dimensional data, and providing localization information. By consolidating these functions into an integrated scanning platform, the system achieves high measurement precision without proportionally increasing implementation complexity. The universal scanner serves as a multi-functional device that reduces the need for separate specialized equipment.
Solution Approach 2:
The network entity acts as an intermediary that receives data from various scanning devices and performs the calculation of utilization metrics. This intermediary layer standardizes data processing across different scanning hardware, simplifying implementation by providing a common calculation platform that works with multiple scanner types, thereby reducing overall system complexity while maintaining precision.
3Productivity
If manual visual estimation is used for trailer utilization, then operational simplicity is maintained, but productivity and optimization capability are reduced
Solution Approach 1:
The system implements feedback by continuously capturing package data through scanners and automatically recalculating trailer utilization metrics. This real-time feedback loop enables dynamic optimization of delivery networks, allowing the system to respond to changing conditions and improve productivity. The automated feedback mechanism replaces manual estimation, providing continuous data-driven insights without requiring complex manual analysis processes.
Solution Approach 2:
The system performs preliminary scanning and data capture during package loading operations, before trailers depart. By collecting dimensional and identification data in advance, the system enables pre-departure utilization calculations and optimization decisions. This preliminary action approach improves productivity by preventing last-minute adjustments while keeping the automation complexity manageable through phased data collection.
Data Source
AI summary
The disclosed systems, methods, apparatuses, and computer programs embodied on computer-readable media may enable a shipping carrier to determine the utilization of a trailer in a delivery network by receiving and aggregating disparate types and sources of shipping information, including, for example, package billing data from a customer order, scan data from the loading and unloading of packages transported by the trailer, dimensional data received from dimensional scans of packages at carrier shipping hubs, and/or trailer data including the volume of the trailer. Utilization may be determined for each trailer in a carrier delivery network or for a subset of trailers in the network. The determined utilizations may be used to determine the parameters for an optimized delivery network, which may include the addition, elimination, and/or modification of the delivery schedule. Network optimization may be an iterative process that may be continually performed using continually updated trailer utilization statistics.


