Machine Program Analysis for Automated Manufacturing Traceability
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Solution Overview
Problem
Existing methods for creating a 'digital thread' for manufacturing products are often labor-intensive and error-prone due to incomplete serialization and the need for manual data recording.
Innovation Solution
A system and method for machine program analysis that automatically determines the series of programs used to manufacture components by analyzing low-level machine data, such as program session data, using algorithms like hyperloglog to estimate intersections and determine program relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data recording and serialization methods are used to create a digital thread, then completeness and accuracy of manufacturing data can be maintained, but labor intensity and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical data recording with automated electronic data collection systems. Sensors, machine interfaces, and software automatically capture manufacturing data from equipment, eliminating the need for manual serialization and recording while maintaining data completeness and accuracy.
Solution Approach 2:
The system enables manufacturing equipment to self-report and self-record operational data automatically. Machines communicate their own performance metrics, status, and process parameters to the central system without human intervention, allowing the digital thread to be created autonomously from the manufacturing processes themselves.
2Productivity
If automated data collection systems are implemented to increase processing speed, then productivity improves, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a universal data collection platform that can interface with multiple types of manufacturing equipment through standardized protocols. The system performs multiple functions including data acquisition, validation, storage, and analysis within a single integrated architecture, reducing overall system complexity despite the automated nature of data collection.
3Reliability
If comprehensive serialization is implemented to track all manufacturing components, then traceability and quality control improve, but cost and implementation difficulty increase
Solution Approach 1:
The system establishes data collection and tracking protocols in advance during the design and setup phases of manufacturing processes. By pre-configuring sensors, identifiers, and data flow paths before production begins, the system enables comprehensive traceability without adding complexity to actual manufacturing operations.
Data Source
AI summary
A method for machine program analysis, preferably including determining data for a set of programs and determining relationships between the set of programs, and optionally including determining an analysis based on the program relationships, acting based on analyses, and/or operating manufacturing system machines. A system for machine program analysis, preferably including one or more computing systems, and optionally including one or more manufacturing systems.