Computer aided quality system

Implementation of a Computer Aided Quality System (CAQ) in CIM Environment Advantages and Disadvantages... 

Integrated quality system, see Computer-aided quality-management system Integrated simulation, 320 Integrated solutions business model, 603 Integrated system, creation of, 1009-1010 Integration ... 

Because traditional testing, such as melt flow index, ash content and tensile testing, may not provide enough information to avoid processing defects, the more complete analysis is desirable. Here, the data is entered into a computer aided quality (CAQ) system for analysis and comparison with specifications. The decision tree utilized is typical of what might be used for this class of materials. This same approach can be used for failure analysis of these materials in the product. 

CAQ = computer aided quality assurance EDP = electronic data processing GLP = good laboratory practice LIMS = laboratory information management system QM = quality management. 

As there were no commercial LIMSs, they had to be developed. The first LIMSs mainly supported sample management, entry of results, and printing of reports. As they were able to manage quality assurance in laboratories and for production, sometimes such systems were called computer aided quality assurance (CAQ). The development of LIMSs is outlined in Table 1. 

To improve and provide quick feedback on quality of components and products, computer aided QA systems were installed. These systems improved storage and retrieval of quality information and also reduced dependence and hence judgement at every stage. 

It takes time to train a film interpreter. In addition, human interpretation of weld quality based on film radiography is very subjective, inconsistent, labour intensive, and sometimes biased. It is thus desirable to develop some forms of computer-aided systems. 

This paper describes the development of a novel system for improving the quality of information provided by manual ultrasonic examination of welds, while retaining the flexibility of the human operator to apply the techniques to components of a wide range of geometries and dimensions. The system, known as CamuS (Computer Aided Manual UltraSonics) provides assistance to the manual operator in two separate areas ... 

The correct interpretation of measured process data is essential for the satisfactory execution of many computer-aided, intelligent decision support systems that modern processing plants require. In supervisory control, detection and diagnosis of faults, adaptive control, product quality control, and recovery from large operational deviations, determining the mapping from process trends to operational conditions is the pivotal task. Plant operators skilled in the extraction of real-time patterns of process data and the identification of distinguishing features in process trends, can form a mental model on the operational status and its anticipated evolution in time. 

Computer-aided trend identification offers potential benefits, but is dependent on the quality of the input information. Expert systems and artificial intelligence are tools being tested. When successful, they may give improved insight into identifying common causes and trend analyses. 

The computer-aid qu ty system consists of four components quality planning, inspection and quahty data collection, quahty assessment and control, and integrated queility management. 

---