Digital Procedure Transfer Using Verified Block Replacement
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Solution Overview
Problem
Current manufacturing processes face challenges in efficiently transferring and implementing digital procedures across a network of facilities due to variations in equipment, operators, and environmental conditions, leading to inefficiencies and increased reliance on manual review and approval.
Innovation Solution
A method for transferring digital procedures involves accessing an instructional block library to identify verified blocks analogous to unverified blocks, calculating a transfer score based on manufacturing inputs, and autonomously replacing unverified blocks with verified ones, reducing the need for extensive manual review and approval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review and approval processes are used to ensure procedure accuracy across facilities, then reliability is improved, but productivity deteriorates due to time-consuming manual processes
Solution Approach 1:
The system performs self-verification by automatically comparing unverified instructional blocks against verified blocks from the library, calculating transfer scores, and identifying analogous blocks without requiring manual review. This self-service mechanism maintains reliability while eliminating manual process bottlenecks.
Solution Approach 2:
The patent replaces manual mechanical review processes with an automated computational system that uses algorithms to compare instructional blocks, calculate transfer scores based on manufacturing inputs, and identify analogous verified blocks. This substitution of manual mechanics with automated computation resolves the contradiction between reliability and productivity.
2Adaptability or versatility
If extensive manual review is performed to adapt procedures to local conditions, then adaptability is improved, but loss of time increases
Solution Approach 1:
The system automatically adapts procedures to local conditions by calculating transfer scores based on manufacturing inputs such as equipment parameters, operator skills, and environmental conditions. This automated parameter-based adaptation maintains versatility while eliminating time-consuming manual review processes.
Solution Approach 2:
The system performs preliminary automated analysis by comparing unverified instructional blocks against verified blocks before deployment, pre-calculating transfer scores and identifying analogous blocks. This preliminary action ensures adaptability to local conditions while preventing time loss during actual implementation.
3Productivity
If automated block replacement is used to speed up procedure transfer, then productivity is improved, but manufacturing precision may deteriorate due to automated decisions
Solution Approach 1:
The system incorporates feedback mechanisms by calculating transfer scores based on multiple manufacturing inputs and comparing unverified blocks against verified blocks from the library. This feedback-driven automated decision process maintains manufacturing precision while achieving high productivity through automated block replacement.
Solution Approach 2:
The patent replaces manual mechanical review with an automated computational system that uses algorithms to ensure procedure accuracy through systematic comparison and scoring. This substitution maintains or improves manufacturing precision while dramatically increasing productivity.
4Reliability
If a comprehensive review process is implemented to account for equipment and environmental variations, then reliability is improved, but device complexity increases
Solution Approach 1:
The system segments the review process into discrete automated components: detecting manufacturing inputs, calculating transfer scores, comparing instructional blocks, and identifying analogous verified blocks. This segmentation maintains reliability through comprehensive review while reducing perceived complexity by automating each segment independently.
Solution Approach 2:
The system uses a universal automated platform that handles multiple functions including input detection, score calculation, block comparison, and analogy identification. This multi-functional approach improves reliability through consistent comprehensive review while reducing device complexity by consolidating functions into a single automated system.
Data Source
AI summary
A method for predicting batch yield includes: accessing a batch range specification defining a set of batch ranges for characterizing batch output upon completion of a performed instance of a verified digital procedure; and, in response initiating an instance of the verified digital procedure detecting a set of manufacturing inputs in the verified digital procedure and receiving a set of parameters corresponding to the set of manufacturing inputs from the operator. The method also includes: identifying a batch yield of the instance of the verified digital procedure as corresponding to a target batch range in the set of batch ranges; interpreting a process change resulting in the batch yield based on the set of parameters and a target set of parameters; isolating a parameter associated with the process change; and initializing a new digital procedure characterizing the process change based on the verified digital procedure and the first parameter.