Production Planning Validation Using Blockchain Oracle Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Planning and controlling a production process across multiple production entities, particularly in terms of resource consumption and waste generation, is complex and prone to deviations, necessitating a method for efficient and secure optimization and re-planning.
Innovation Solution
A computer-implemented method using a sequential distributed database and blockchain oracle data to validate and control production processes by comparing product and pre-product planning data, ensuring secure and efficient adherence to resource reduction targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If production planning is performed across multiple production entities, then production optimization can be achieved, but control and monitoring become complex and prone to deviations
Solution Approach 1:
The patent introduces a centralized planning system as an intermediary that coordinates between multiple production entities. This system receives production plans from various entities, stores them in a database, and monitors their execution, thereby simplifying the control architecture while maintaining optimization capabilities across distributed production facilities.
Solution Approach 2:
The patent implements feedback mechanisms where execution data from production entities is continuously collected and compared against planned values. When deviations are detected, the system generates notifications and enables re-planning, creating a closed-loop control system that maintains productivity while managing complexity through automated monitoring and adjustment.
2Loss of energy
If resource consumption is optimized in final production, then resource efficiency improves, but pre-product production resource consumption is ignored
Solution Approach 1:
The patent segments the production planning into distinct levels: final product production plans and pre-product production plans. Each level is planned and monitored separately in the database, allowing optimization at the final production stage while simultaneously tracking and optimizing pre-product resource consumption, thereby achieving comprehensive resource efficiency without compromising adaptability.
3Productivity
If production plans are set for multiple entities, then overall production optimization is possible, but monitoring and validation of plan fulfillment becomes difficult
Solution Approach 1:
The patent implements comprehensive feedback mechanisms where execution data from all production entities is automatically collected and stored. The system compares actual execution data against planned values, validates fulfillment status, and provides precise monitoring across all entities. This feedback loop enables both overall production optimization and accurate measurement of plan fulfillment.
Solution Approach 2:
The patent replaces manual monitoring and validation processes with automated computer-based systems. The centralized system automatically collects execution data, performs validations, and generates reports, thereby maintaining precise monitoring capability while reducing the operational complexity of managing multiple production entities.
4Loss of energy
If production processes are controlled across distributed entities, then resource consumption can be monitored, but system security and manipulation resistance decrease
Solution Approach 1:
The patent merges the planning and monitoring functions into a single centralized system that maintains a unified database of production plans and execution data. This consolidation enhances system security by centralizing control and validation logic, while still enabling comprehensive resource consumption monitoring across all distributed production entities through the unified platform.
Data Source
AI summary
The invention refers to a method 200 for planning of a production process of a product. Product planning data is provided 211 with respect to a production entity producing the product. The product planning data is indicative of a production plan that should be fulfilled. Pre-product planning data is provided 210 with respect to a production entity producing the pre-product. The pre-product planning data is indicative of a production plan that should be fulfilled. The product and pre-product planning data are stored 220 on a sequential distributed database. A product status of the production process of the product is determined 230 by comparing the stored product planning data with blockchain oracle data. A pre-product status of the production process of the pre-product is determined 231 by comparing the stored pre-product planning data with blockchain oracle data. The product status is validated 240 with respect to the pre-product status.


