Factory Logistics Control for Balanced Material Feeding Priority
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Solution Overview
Problem
Logistics systems in factories lack deep perception of production information, leading to inefficient material supply and handling, resulting in idle devices and decreased throughput due to inadequate control over material distribution across multiple production lines.
Innovation Solution
An apparatus and method that utilize a processor and memory to determine logistics communication states and handling priorities for material feeding ports, pairing ports into groups, and selecting the highest priority group for handling commands, improving material distribution efficiency by referencing pre-created correspondence relationship tables and sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the logistics system supplies materials to multiple production lines using simple communication signals, then the system structure remains simple, but the material distribution becomes unbalanced and devices idle for long periods
Solution Approach 1:
The logistics system establishes deep perception connections with production devices, real-time monitoring their states through communication interfaces. The system receives feedback information about device status, material needs, and production progress, then dynamically adjusts material supply decisions based on this feedback to prevent device idling and balance material distribution across multiple production lines.
Solution Approach 2:
The logistics system proactively identifies material needs by monitoring device states before devices actually request materials. By pairing material feeding ports and evaluating their states in advance, the system prepares and supplies materials ahead of time, ensuring devices can continue operation without idle periods while maintaining simple system structure.
2Device complexity
If the logistics system lacks deep perception of production information, then the system complexity is reduced, but the ability to identify device material demands precisely deteriorates
Solution Approach 1:
The system establishes bidirectional communication with production devices, continuously receiving feedback about device states, production progress, and material consumption. This feedback mechanism enables the logistics system to precisely identify when devices need materials without requiring complex perception capabilities, as the devices themselves provide the necessary information through standardized communication interfaces.
Solution Approach 2:
The logistics system uses communication interfaces and information exchange protocols as intermediaries between production devices and the material supply system. Rather than requiring deep perception of device internal states, the system relies on these intermediary communication channels to transmit accurate material demand information, maintaining simple system architecture while achieving precise demand identification.
3Device complexity
If materials are not supplied in an equilibrium manner to multiple devices, then the logistics control complexity is reduced, but the device utilization ratio deteriorates
Solution Approach 1:
The logistics system divides material feeding ports into pairs and evaluates each pair's state independently. By segmenting the overall material supply problem into smaller port-pair decisions, the system can balance material distribution across multiple devices without requiring complex global optimization algorithms. Each port pair is assessed and supplied based on its specific state, achieving equilibrium distribution through simple localized decisions.
Solution Approach 2:
The logistics system dynamically adjusts material supply decisions based on real-time device states and material feeding port conditions. Rather than following fixed supply schedules, the system continuously evaluates the current state of each port pair and adapts supply decisions accordingly, enabling balanced material distribution that responds to changing production needs while maintaining simple control logic.
Data Source
AI summary
The disclosure discloses an apparatus, method and system for controlling logistics, and a non-transitory computer readable medium, where the apparatus includes a processor configured to execute readable program codes stored in a memory to: obtain a logistics communication state corresponding to each material feeding port of each device; pair every two material feeding ports among material feeding ports of each device into a group, and determine a logistics communication state corresponding to each group of material feeding ports of each device; determine a handling priority corresponding to each device according to the determined logistics communication state corresponding to each group of material feeding ports of each device; and control a handling component to select one group of material feeding ports of a device with a highest handling priority to execute a handling command.