Mobile Body Selection by Delivery Time in Facility Baggage Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack the capability to efficiently select the most suitable mobile body from a variety of types for delivering baggage to a specific delivery destination within a facility, as the required time for delivery varies significantly based on the type of mobile body and the facility layout.
Innovation Solution
An information processing apparatus and method that selects a first mobile body for delivering baggage to a delivery destination within a facility by considering the required time for each type of mobile body, such as AGVs and drones, based on their movement routes and facility-specific information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of delivery mobile bodies are used, then delivery flexibility and coverage are improved, but the complexity of selecting the appropriate mobile body increases
Solution Approach 1:
The system changes the parameter of delivery time requirements to select the appropriate mobile body. By calculating the required time for each mobile body type based on facility layout and delivery destination, the system objectively determines the most suitable mobile body, resolving the selection complexity while maintaining flexibility
Solution Approach 2:
The system dynamically selects mobile bodies based on real-time conditions including facility layout, delivery destination, and time requirements. This dynamic selection process adapts to different delivery scenarios, maintaining flexibility while providing clear selection criteria to reduce complexity
2Loss of time
If the most time-efficient mobile body is selected, then delivery speed is improved, but the system complexity increases due to time calculation requirements
Solution Approach 1:
The system performs preliminary time calculations for each mobile body type before actual delivery. By pre-calculating the required time based on facility layout and mobile body characteristics, the system identifies the most time-efficient mobile body in advance, reducing actual delivery time while managing complexity through advance planning
Solution Approach 2:
The system automatically calculates and compares delivery times for different mobile bodies without external intervention. This self-service approach to time optimization reduces manual complexity while achieving time-efficient delivery selection
Data Source
AI summary
An information processing apparatus includes a controller, the controller being configured to select a first mobile body to deliver baggage to a delivery destination existing in a predetermined facility from among a plurality of types of delivery mobile bodies, wherein the controller selects the first mobile body, based on required time necessary to deliver the baggage to the delivery destination in a site of the predetermined facility, for each delivery mobile body.