QR Code Specification Scanning for Manufacturing Transport Control
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Solution Overview
Problem
The existing manual process of reviewing and comparing printed documents for manufacturing specifications is inefficient and prone to errors, particularly in the automotive industry, where changes in specifications can lead to technical errors and delays in production.
Innovation Solution
The use of QR codes on documents such as PPAP, PSW, PCN, and BOM to encode key parameters, allowing mobile devices to scan and compare these codes, thereby automating the review process and ensuring compliance with customer and manufacturing rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review and comparison of printed documents is used for manufacturing specifications, then human operators can review and compare specifications, but the process is inefficient and prone to errors
Solution Approach 1:
The patent replaces the manual mechanical process of reviewing and comparing printed documents with an automated optical scanning system. QR codes on manufacturing documents are scanned by imaging devices, and the encoded data is automatically processed and compared by a computing system, eliminating manual intervention and improving both accuracy and efficiency.
Solution Approach 2:
The patent uses QR codes as digital copies of manufacturing specification data. Instead of manually reviewing physical documents, the system scans QR codes that contain encoded copies of the specification parameters, enabling automated extraction and comparison of data without human error.
2Ease of operation
If manual document review process is used, then flexibility in handling different document types is maintained, but human error and delays occur
Solution Approach 1:
The patent implements a universal QR code scanning system that can handle multiple types of manufacturing documents (PPAP, PSW, PCN, BOM) through a single automated process. The computing system automatically identifies and processes different document types based on their QR codes, maintaining flexibility while eliminating manual handling time.
3Loss of information
If printed documents are used for manufacturing specifications, then physical documentation is available, but data comparison is slow and error-prone
Solution Approach 1:
The patent replaces manual data extraction and comparison from printed documents with automated optical scanning and digital processing. QR codes encode complete specification data that is instantly read and compared by the computing system, eliminating time loss while preserving data completeness.
Data Source
AI summary
Transport of physical objects is controlled based on scanning of encoded images. In one approach, an encoded image on a physical object is scanned to obtain parameters. The parameters include specifications for a product to be made by a manufacturing process. One or more rules are generated using the parameters and then stored in a database. The database is queried to determine whether the product conforms to the one or more rules. For example, the query may include data regarding characteristics of the final product and/or the manufacturing process. In response to determining that the product conforms to the rules, the product is transported to a distribution facility.