Warehouse Transport Simulator for Multi-Entity Load Assignment
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Solution Overview
Problem
In warehouse load transport systems, there is a lack of methods to efficiently determine which types of robots or people should transport specific loads, given varying conditions and capacities among multiple work entities.
Innovation Solution
A simulator and control device that acquire and analyze transport capacity, load information, map information, and work entity situations to determine which work entities should transport each load, incorporating a work entity determination portion to generate efficient transport plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a configuration including a plurality of kinds of robots and people with different transport capacities is used, then transport efficiency is improved, but the complexity of determining which work entity transports each load increases
Solution Approach 1:
The patent applies parameter changes by considering multiple attributes of work entities (transport capacity, current position, load type compatibility) and transforming these parameters into a determination framework. The work entity determination portion evaluates multiple parameters simultaneously to select the most suitable work entity for each load, resolving the complexity through systematic parameter evaluation rather than simple selection
Solution Approach 2:
The simulator acts as an intermediary between the heterogeneous work entities and the loads. It receives information about work entities and loads, processes this information through simulation, and outputs determination results. This intermediary framework manages the complexity by centralizing the determination logic in the simulator rather than requiring direct complex interactions between work entities and loads
2Adaptability or versatility
If multiple kinds of work entities with different transport capacities are deployed, then the adaptability to different load conditions is improved, but the difficulty of detecting and measuring the optimal work entity for each load increases
Solution Approach 1:
The system implements feedback by having the work entity determination portion continuously receive information about work entity situations (positions, capacities, current tasks) and load conditions, then determine the optimal matching. This feedback loop allows the system to adapt to changing conditions and measure the suitability of work entities for loads based on real-time information
Solution Approach 2:
The simulator performs preliminary determination of work entity assignments before actual transport execution. By pre-calculating the optimal matching based on available information about work entities and loads, the system reduces the difficulty of real-time detection and measurement during actual operations
Data Source
AI summary
A feature is realized with which it is possible to determine the work entity by which each load should be transported. A simulator (1) is provided with a transport capacity acquisition portion (6) for acquiring the transport capacity of one or a plurality of types of work entity, a load information acquisition portion (5), a map information acquisition portion (4), a work entity situation acquisition portion (7), and a work entity determination portion (2) for determining a work entity.