Automated Life-Cycle Process Control for Complex Product Testing
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Solution Overview
Problem
The development of complex high-technology products like mobile telephones is labor-intensive and costly due to the complexity of integrating technical and economic factors, making it difficult to efficiently manage life-cycle processes, including product testing and feedback, which increases development time and costs.
Innovation Solution
A method that utilizes a computer system to process data through an engineering, analysis, and test process, with an information system for managing and controlling these processes, allowing for automated and reproducible testing and development by separating processes and using predefined test modules and selection rules, enabling efficient product development and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive tests are carried out to increase reliability of test results, then reliability improves, but costs and development period increase
Solution Approach 1:
The test process is segmented into multiple independent test modules, each responsible for specific test functions. This allows selective execution of tests based on requirements, avoiding unnecessary comprehensive testing while maintaining reliability where needed.
Solution Approach 2:
The system dynamically adjusts test parameters and scope based on input data from the engineering process and specified values. The process control automatically determines which tests to execute and what parameters to use, optimizing the balance between reliability and development time.
2Stability of the object's composition
If multiple teams of experts work sequentially on individual partial aspects using waterfall model, then systematic procedure is achieved, but interaction between partial aspects is difficult to determine and development efficiency decreases
Solution Approach 1:
The process control acts as an intermediary that receives input from the engineering process, automatically determines test requirements, and coordinates the test process. This eliminates the need for sequential expert teams while maintaining systematic control through automation.
Solution Approach 2:
The manual sequential process involving multiple expert teams is replaced by an automated computer-based process control system that uses algorithms and data processing to determine and execute tests, significantly improving efficiency while maintaining systematic procedure.
3Reliability
If comprehensive tests are performed to meet technical requirements, then reliability of test results increases, but costs increase
Solution Approach 1:
The system dynamically determines test parameters and scope based on input data from the engineering process and specified values. This allows the system to perform only necessary tests at appropriate levels, reducing costs while maintaining reliability where required.
Solution Approach 2:
Instead of performing all possible comprehensive tests, the system performs only the necessary partial tests required to meet technical requirements. The process control determines the appropriate scope of testing based on input data, avoiding excessive testing that would increase costs without adding value.
Data Source
AI summary
A method for the analysis, control, automation, and information management of life-cycle processes of technical products includes an engineering process, an analysis process, a test process, and accesses an information system. The engineering process, the analysis process and the test process, which includes a plurality of test modules, have connections for information exchange exclusively to the control process and information system. For every test of the test modules, the scope and form of the input and output values are determined by data stored in the information system. The data that are input into the engineering process and determined, and the specified values, are processed by the process control, which determines all of the tests to be carried out. The results are passed on to the process control. The analysis process determines if data and specified values input in the engineering process have been reached by a numerical or numerical/statistical calculation.