Autonomous Vehicle Module Reallocation for Regional Supply Imbalance
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Solution Overview
Problem
Existing systems for autonomous delivery vehicles do not efficiently manage module distribution across regions, leading to inefficiencies and increased costs due to insufficient or surplus modules, which can result in unnecessary production and storage of modules.
Innovation Solution
An information processing device and method that identifies regions with insufficient or surplus modules, instructing equipped vehicles to transport and exchange modules between regions, ensuring efficient distribution and reducing the need for excess production and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If modules are produced and stored in advance for all possible scenarios, then reliability is improved, but loss of substance worsens due to unnecessary production and storage
Solution Approach 1:
The system dynamically adjusts module distribution based on real-time or near-real-time demand assessment. Instead of static pre-positioning for all scenarios, modules are identified as needed in deficit regions and transported from surplus regions, making the system adaptive to changing conditions and reducing unnecessary production and storage
Solution Approach 2:
The system changes the state of module distribution from a fixed pre-positioned configuration to a dynamic configuration based on assessed demand parameters. By evaluating which regions have deficits and which have surpluses, the system optimizes module allocation parameters to match actual needs, avoiding over-provisioning
2Loss of substance
If modules are transported between regions to balance distribution, then loss of substance is reduced, but loss of time worsens due to transportation requirements
Solution Approach 1:
The system performs preliminary identification of regions with module deficits and surpluses before actual transportation occurs. By assessing demand and supply status in advance, the system can plan and execute module transfers more efficiently, reducing the time impact of transportation
Solution Approach 2:
The system enables regions with module surpluses to automatically identify and provide modules to regions with deficits. This self-organizing approach reduces centralized coordination overhead and accelerates the module redistribution process
Data Source
AI summary
An information processing device executes: identifying a first region where a predetermined module is insufficient in number, the predetermined module being a module that is attachable to and detachable from a movable object; identifying a second region where the predetermined module is superfluous in number; instructing a movable object equipped with the predetermined module in the second region to provide the superfluous predetermined module to a predetermined movable object; instructing the predetermined movable object to cause the predetermined module to be attached in the second region and transport the predetermined module to the first region; and instructing a movable object not equipped with the predetermined module in the first region to receive the predetermined module transported to the first region by the predetermined movable object.