Automating Quality Systems: A guide to the design and implementation of automated quality systems in manufacturing,Used

One: Philosophy and strategy. 1. Quality in manufacturing. 1.1 Introduction. 1.2 Quality control and the manufacturing system. 1.3 Quality assurance. 1.4 Total quality management. 1.5 Zero defects. 1.6 Ideas of quality automation. 1.7 The influence of quality system standards. 1.8 Quality automation in practice. 1.9 Summary. 2 Why automate?. 2.1 Introduction. 2.2 Justintime and quality systems. 2.3 Data volume. 2.4 Human factors. 2.5 The benefits of quality systems automation. 2.6 Summary. 3 The integrated quality system in computerintegrated manufacture. 3.1 Introduction. 3.2 Quality in CIM. 3.3 Vertical integration KAP ARCHIEF. 3.4 Functional integration. 3.5 Process integration. 3.6 Summary. 4. Assessment of quality performance in manufacturing. 4.1 Introduction. 4.2 Defect levels in manufacturing. 4.3 Value loss functions. 4.4 Indirect measures of performance. 4.5 Quality cost. 4.6 An alternative approach. 4.7 Conclusion. Two: Quality systems design and innovation. 5. Systems in quality. 5.1 Introduction. 5.2 Quality systems. 5.3 Rational systems the hard systems approach. 5.4 The soft systems approach. 5.5 Computer systems analysis and software development. 5.6 A suitable systems approach for quality. 5.7 Summary. 6. Innovation in quality systems. 6.1 Introduction. 6.2 The management of innovation. 6.3 Promoting successful innovation. 6.4 Planned evolution. 6.5 Systems strategy. 6.6 User involvement. 6.7 Prototyping. 6.8 Summary. 7. Quality systems design and improvement. 7.1 Introduction. 7.2 Current methods. 7.3 Systems design. 7.4 The IDEFO structured modelling technique. 7.5 The practical application of IDEFO. 7.6 A case study of quality systems design. 7.7 Information modelling. 7.8 Conclusions IDEFO as a quality systems design tool. 8. Strategy for quality systems automation. 8.1 Introduction. 8.2 The objectives of automation. 8.3 The integrated quality system. 8.4 Quality data collection strategy. 8.5 Summary. Three: Automatic quality data collection and inspection technology. 9. Automatic inprocess quality control. 9.1 Introduction. 9.2 Controlling the manufacturing process. 9.3 Inprocess quality control or product inspection?. 9.4 Examples of automatic inprocess quality control. 9.5 A case study of assembly process monitoring. 9.6 Integration with the IQS. 9.7 Conclusions. 10. Coordinate measuring machines. 10.1 Introduction. 10.2 CMM construction. 10.3 Touch trigger probes. 10.4 CMM use and programming. 10.5 CMM uncertainty and errors. 10.6 Performance testing of CMMs. 10.7 Training. 10.8 Integration with the IQS. 10.9 Conclusions. 11. Machine vision. 11.1 Introduction. 11.2 Providing the image the camera and lighting. 11.3 Image acquisition. 11.4 Image processing and analysis. 11.5 Machine vision applications. 11.6 Integration with the IQS. 11.7 Ultrasonic techniques. 11.8 Conclusions. 12. Automatic testing in the electronics industry. 12.1 Introduction. 12.2 Automatic component testing. 12.3 Incircuit PCB testing. 12.4 Functional testing. 12.5 An example of integrated ATE. 12.6 Summary. 13. Automatic dimensional gauging. 13.1 Introduction. 13.2 Shopfloor dimensional inspection equipment. 13.3 Dimensional measuring transducers. 13.4 Automated applications using dimensional gauging. 13.5 Process control integration. 13.6 Conclusions. Four: Quality data analysis and management. 14. Statistical process control software, data collection and computeraided inspection. 14.1 Introduction. 14.2 Statistical process control software. 14.3 Shopfloor data collection. 14.4 A case study in computeraided inspection. 14.5 Conclusions. 15. Automating quality data management the quality database. 15.1 Introduction. 15.2 Existing systems for quality data management. 15.3 Requirements for the quality database. 15.4 Full automation the active quality database. 15.5 Maintenance of inspection...