Delivery Pickup Point Routing for Vehicle Storage Box Logistics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to identify optimal pickup points for delivery vehicles, limiting delivery efficiency.
Innovation Solution
An information processing system that includes a processor to control delivery vehicles with storage boxes, acquire delivery destinations, extract vicinity routes, and identify pickup points for efficient delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predetermined pickup point is used for delivery, then the delivery system is simple to operate, but delivery efficiency cannot be improved
Solution Approach 1:
The system pre-calculates and stores multiple candidate pickup points and their associated routes before delivery requests are made. When a delivery request is received, the system quickly retrieves and selects from pre-computed options, enabling efficient delivery routing without real-time calculation complexity
Solution Approach 2:
The system dynamically selects pickup points and routes based on real-time conditions such as delivery destination, vehicle location, and storage box availability. The routing system adapts to different scenarios by choosing optimal combinations of pickup points rather than using a fixed predetermined point
2Length of moving object
If multiple pickup points are considered to improve delivery efficiency, then transportation distance is reduced, but the complexity of identifying optimal pickup points increases
Solution Approach 1:
The system segments the delivery area into multiple candidate pickup points with associated routes. Each pickup point is evaluated independently based on its proximity to the delivery destination and accessibility, allowing the system to compare and select the optimal segment without overwhelming complexity
Solution Approach 2:
The system introduces an intermediary routing algorithm that acts as a mediator between the delivery destination and pickup points. This intermediary automatically evaluates multiple pickup points against predefined criteria (distance, accessibility, vehicle constraints) and selects the optimal one, reducing the difficulty of identification
3Speed
If the delivery vehicle travels to optimize pickup points, then delivery speed is improved, but the complexity of route management increases
Solution Approach 1:
Routes to multiple candidate pickup points are pre-calculated and stored in the system before delivery requests are received. The routing algorithm prepares alternative paths in advance, allowing the vehicle to quickly execute optimized routes without real-time calculation complexity
Solution Approach 2:
The routing system is designed to handle multiple functions: it identifies pickup points, calculates routes, selects optimal combinations, and provides navigation guidance. This multi-functional integrated system manages route complexity through a unified approach rather than separate management processes
Data Source
AI summary
An information processing system includes at least one memory storing program code and at least one processor. The program code is configured to, when it is detected that a user has accessed the information processing system, cause the at least one processor to, when one or more of a plurality of storage boxes are vacant, extract a vicinity route having an end point located at a delivery destination of the user or within a vicinity of the delivery destination from among delivery routes of transportable objects stored in one or more of the plurality of storage boxes and cause the at least one processor to identify a pickup point at which a delivery vehicle is able to pick up a transportable object before the delivery vehicle reaches the end point of the extracted vicinity route.