Neural Network Blockchain Production Tracking for Supply Bottlenecks

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Solution Overview

Problem

Current production management systems lack efficient tracking and initiation mechanisms, failing to ensure timely and quality-driven production processes across complex supply chains, leading to inefficiencies and potential production delays.

Innovation Solution

A supervisory production system utilizing neural networks and blockchain technology to process and encrypt production data, enabling secure initiation and tracking of production processes by comparing nodes for correspondence, similarity, and sufficiency, while ensuring compliance with quality requirements and status milestones through a platform with separate buyer and supplier portals and transaction potential neural networks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional production management systems are used, then system simplicity is maintained, but production tracking efficiency and initiation timeliness deteriorate

Engineering Contradiction:

Improveproduction tracking efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments production management into discrete nodes representing individual production events, tasks, and milestones. Each node is independently tracked and managed, allowing efficient processing of production data while maintaining system organization. This segmentation enables the neural network to process specific production aspects without being overwhelmed by overall system complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces neural networks as an intermediary layer between production systems and management interfaces. The neural network processes production data, identifies patterns, and makes predictions about production outcomes, thereby improving tracking efficiency without requiring direct complex interactions between all system components.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive production data is collected and processed, then production quality and milestone compliance improve, but data processing time and computational resources increase

Engineering Contradiction:

Improveproduction quality assuranceVSAvoiddata processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-processing and organizing production data as it is generated, rather than waiting for complete data sets. The neural network continuously analyzes incoming data streams to identify trends and potential quality issues early in the production process, reducing the need for extensive post-processing and enabling faster decision-making.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces traditional mechanical data processing methods with neural network-based intelligent processing. The neural network automatically analyzes production data, identifies patterns, and predicts outcomes without requiring manual intervention or complex rule-based systems, thereby reducing processing time while maintaining or improving data analysis quality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If neural networks are used to process production data, then production initiation accuracy and tracking precision improve, but system complexity and computational requirements increase

Engineering Contradiction:

Improveproduction tracking precisionVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The neural network is designed to perform multiple functions within the production management system, including data processing, pattern recognition, prediction, and decision support. This multi-functionality reduces the need for separate specialized systems, thereby improving tracking precision without proportionally increasing overall system complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Reliability

If blockchain technology is implemented for securing production data, then data security and integrity improve, but system complexity and implementation difficulty increase

Engineering Contradiction:

Improvedata securityVSAvoidsystem implementation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges blockchain technology with the existing production management system, integrating security features directly into the production tracking infrastructure. By combining blockchain's security capabilities with the neural network-based production management, the system achieves enhanced data security without requiring completely separate systems, thereby reducing implementation complexity.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20240045406A1System, platform, and methods for neural network enabled blockchain-based production

Publication Date: 2024.02.08 SYNCFAB CO

AI summary

A supervisory production system for enabling production initiation and tracking and for securing production progress between upstream and downstream production systems and request systems by receiving production capacity entries and production update entries, converting them into production capacity nodes and production update nodes, and comparing the production capacity nodes and production update nodes to the production requirement and progress nodes, distributing circulation data parcels based on the results, and tokenizing the production to ensure production authenticity and integrity.