Mobile Retail Vehicle Dispatch Using Arrival-Time Route Coordination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Determining efficient travel routes for mobile objects, such as delivery vehicles, to efficiently dispatch maintenance or sales vehicles in response to changing conditions and user demands is challenging, especially when considering the dynamic nature of delivery routes and user preferences.
Innovation Solution
An information output method that determines a second mobile object's route based on the arrival time of a first mobile object at a point, allowing the second object to arrive within a predetermined period, considering factors like user requests, travel costs, and historical purchase data to optimize route selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile objects follow predetermined shuttle routes for simple autonomous movement, then ease of operation is improved, but adaptability to changing conditions and user demands deteriorates
Solution Approach 1:
The system dynamically adjusts mobile object routes based on real-time conditions. Instead of fixed predetermined routes, the control device calculates optimal routes by integrating first information (from first mobile objects) and second information (from other sources) to determine second routes for second mobile objects, enabling adaptation to changing delivery demands and traffic conditions.
Solution Approach 2:
The system uses feedback from first mobile objects' travel information to adjust and optimize second mobile objects' routes. The control device continuously receives travel data, evaluates it against current conditions, and generates updated route instructions, creating a closed-loop control system that adapts to changing conditions.
2Adaptability or versatility
If mobile objects autonomously determine travel routes based on real-time conditions, then adaptability is improved, but device complexity increases
Solution Approach 1:
A control device acts as an intermediary between mobile objects and route determination. Instead of each mobile object independently determining complex routes, the control device centralizes the route calculation function, integrating multiple information sources and generating optimized routes for multiple mobile objects, thereby reducing individual device complexity while maintaining system-level adaptability.
3Device complexity
If multiple mobile objects operate independently without coordination, then device complexity is reduced, but productivity deteriorates due to inefficient route planning
Solution Approach 1:
The system merges route determination for multiple mobile objects into a unified control process. The control device integrates first information from first mobile objects and second information from other sources to collectively optimize second routes for second mobile objects, enabling coordinated operations that improve overall productivity while maintaining manageable control complexity.
Data Source
AI summary
An information generation method is an information output method executed by a mobile retail vehicle control device (information output device) and includes obtaining first information about a first time at which a first mobile object arrives at a first arrival point (first point); determining, based on the first information, a second point from which a second mobile object can arrive at the first arrival point at a second time within a predetermined period from the first time; and outputting instruction information for moving the second mobile object to the second point.