Container Allocation and Priority-Based Delivery Route Planning
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Solution Overview
Problem
Existing inbound transportation networks face inefficiencies and high costs due to suboptimal configuration of loads and routes, which affect overall delivery efficiency and costs.
Innovation Solution
A system and method for determining delivery route plans by allocating containers to trucks, determining priority measurements, and generating route plans based on these measurements to optimize delivery routes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual methods are used for configuring loads and routes, then flexibility and ease of operation are maintained, but delivery efficiency decreases and costs increase
Solution Approach 1:
The patent replaces manual mechanical configuration methods with an automated computer-based system that uses algorithms and data processing to determine optimal load configurations and delivery routes. The system automatically processes delivery information, calculates priority measurements, and generates route plans without manual intervention, thereby increasing delivery efficiency while accepting the introduction of computational complexity.
2Productivity
If suboptimal load configuration and routing are used, then system simplicity is maintained, but costs increase and delivery efficiency decreases
Solution Approach 1:
The patent changes the parameters of load configuration and route selection by using a computational system that evaluates multiple factors (delivery priority, truck capacity, route conditions) to determine optimal configurations. This allows the system to minimize transportation costs and improve delivery efficiency by selecting parameters that were previously suboptimal under manual configuration.
3Ease of operation
If automated route optimization is implemented, then delivery efficiency and cost-effectiveness improve, but system complexity increases
Solution Approach 1:
The patent implements a self-service system where the computer automatically determines load configurations and route plans without requiring manual operation. The system takes delivery information as input and autonomously generates optimized solutions, making route planning easier to operate while accepting the complexity of the automated decision-making processes involved.
Data Source
AI summary
A system including a processor and a non-transitory computer-readable media storing computing instructions that, when executed on the processor, cause the processor to perform certain operations: receiving input information corresponding to allocating one or more containers in one or more trucks for delivery from a ship point to one or more distribution centers, the one or more containers including one or more items; determining one or more lanes that correspond to one or more delivery routes for the one or more trucks between the ship point and the one or more distribution centers based on the input information; determining a respective priority measurement for each of the one or more trucks; determining a respective route plan for each respective truck of the one or more trucks based on the respective priority measurement, the respective route plan including a respective listing of each of the one or more trucks and an associated lane from the one or more lanes the respective truck is to navigate to one of the one or more distribution centers; and transmitting the respective route plans to the ship point to enable the one or more trucks to deliver the one or more containers from the ship point to the one or more distribution centers. Other embodiments are described.