Production Process Reason Classification for Exceptional Molding Steps
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Solution Overview
Problem
Existing production process management systems face difficulties in analyzing the reasons for exceptional processes due to varying user inputs, making it challenging to identify consistent reasons for similar exceptional processes.
Innovation Solution
A production process management system that includes a first acquiring unit for reason classification information, a second acquiring unit for reason identification information, and a storage unit to correlate and store these in correlation with each other, allowing for the selection and storage of reason classification or identification information when exceptional processes are implemented.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users input reasons for exceptional processes in free text format, then users can easily record their observations, but the content and format of comments vary by user making analysis difficult
Solution Approach 1:
The patent transforms the parameter of reason recording from free-text format to structured classification format. Users select from predefined reason classifications and identification information, which standardizes the data while maintaining ease of operation through dropdown menus and selection interfaces.
Solution Approach 2:
The patent applies different levels of detail to different parts of the reason recording process. Reason classification information provides high-level categorization while reason identification information provides specific identification, allowing both general analysis and detailed tracking without requiring users to write comprehensive free-text descriptions.
2Loss of information
If free text comments are stored for exceptional processes, then individual user observations are captured, but consistent analysis of exceptional process reasons becomes difficult
Solution Approach 1:
The patent segments the reason information into two distinct components: reason classification information (providing categorical context) and reason identification information (providing specific identification). This segmentation allows preserved user observations to be systematically organized for precise analysis.
Solution Approach 2:
The patent introduces reason classification information as an intermediary between raw user observations and analytical processing. This intermediary structure enables consistent analysis by translating varied user inputs into standardized categories while preserving the original observation details.
3Loss of information
If detailed free text descriptions are required for exceptional processes, then comprehensive information is captured, but data entry complexity and variability increase
Solution Approach 1:
The patent performs preliminary action by pre-defining reason classifications and identification information before users need to input data. This preparation reduces data entry complexity during actual use while ensuring comprehensive information capture through the structured framework.
Solution Approach 2:
The patent creates a universal reason recording system that handles multiple types of exceptional processes through a single standardized framework. The reason classification and identification structure serves multiple functions: categorization, identification, analysis, and reporting, reducing overall system complexity despite comprehensive data capture.
Data Source
AI summary
A production process management system includes a first acquiring unit configured to acquire reason classification information that is information concerning a reason why an exceptional process different from a standard process was implemented in production of a molded product, a second acquiring unit configured to acquire reason identification information that is identification information of the reason classification information, a storage unit configured to store the reason classification information acquired by the first acquiring unit and the reason identification information acquired by the second acquiring unit in correlation with each other, and a receiving unit configured to receive selection of the reason classification information or the reason identification information when the exceptional process is implemented. Information concerning the exceptional process and the reason classification information or the reason identification information received by the receiving unit are stored in correlation with each other in the storage unit.