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Practitioner's guide to quality and process improvement

Author: Adedeji Bodunde Badiru; Babatunde J Ayeni
Publisher: London ; New York : Chapman & Hall, 1993.
Edition/Format:   Print book : English : 1st edView all editions and formats
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Quality and process improvement is now a major concern of businesses of all types all over the world. Designed as a reference book for quality practitioners, this book meets the urgent need for a  Read more...

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Additional Physical Format: Online version:
Badiru, Adedeji Bodunde, 1952-
Practitioner's guide to quality and process improvement.
London ; New York : Chapman & Hall, 1993
(OCoLC)621103233
Online version:
Badiru, Adedeji Bodunde, 1952-
Practitioner's guide to quality and process improvement.
London ; New York : Chapman & Hall, 1993
(OCoLC)631858328
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Adedeji Bodunde Badiru; Babatunde J Ayeni
ISBN: 0412482800 9780412482809
OCLC Number: 27726740
Description: xii, 353 pages : illustrations ; 24 cm
Contents: 1. The quality revolution. 1.1. Systems definition of quality. 1.2. Total quality management. 1.3. Just in time. 1.4. Move toward globalization. 1.5. Japanese influence on quality movement. 1.6. European influence on quality movement. 1.7. International standard for quality: ISO 9000. 1.8. Malcolm Baldrige award. 1.9. Deming's contributions. 1.10. Taguchi's contributions. 1.11. Juran's contributions. 1.12. Ishikawa's contributions. 1.13. Feigenbaum's contributions. 1.14. Crosby's contributions. 1.15. Motorola's six sigma approach. 1.16. Quality and competitive edge. 1.17. Case study: quality and productivity improvement in Taiwan --
2. Fundamentals of quality improvement. 2.1. Components of quality improvement. 2.2. Customer involvement. 2.3. Vendor involvement and certification. 2.4. Employee involvement. 2.5. Quality of manufactured goods. 2.6. Quality of service. 2.7. Employee motivation and quality of work. 2.8. MBO versus Deming philosophy. 2.9. Management support. 2.10. Preparing for change to quality improvement. 2.11. Strategic quality planning. 2.12. Prevention versus detection and correction. 2.13. Benchmarking for quality improvement. 2.14. Triple C approach to quality improvement. 2.15. Quality improvement group meetings. 2.16. Continuous process improvement. 2.17. Continuous measurable improvement. 2.18. Quality function deployment. 2.19. Quality-productivity improvement relationship. 2.20. Quality evaluation using the analytic hierarchy process --
3. Fundamentals of process improvement. 3.1. Defining a process. 3.2. Barriers to quality and process improvement. 3.3. Improving quality through process improvement. 3.4. Process improvement feasibility study. 3.5. Product redesign and process improvement. 3.6. Quality-value breakeven analysis. 3.7. Importance of ergonomics in process improvement. 3.8. Learning curves and process improvement. 3.9. Learn-forget models. 3.10. Process technology transfer. 3.11. Process conversion strategies. 3.12. Fuzzy set modeling for process improvement. 3.13. Fuzzy quality model. 3.14. Managerial aspects of process improvement --
4. Project management approach to quality and process improvement. 4.1. Importance of project management. 4.2. Project management steps for quality improvement. 4.3. Project implementation model. 4.4. Selling the project plan. 4.5. Quality policy. 4.6. Project leadership. 4.7. Project organization. 4.8. Selecting a project manager. 4.9. Work breakdown structure. 4.10. Project planning. 4.11. Project scheduling. 4.12. Project control. 4.13. Project decision model. 4.14. Resolving project conflicts --
5. Process management and control. 5.1. Process formulation. 5.2. Key quality characteristics. 5.3. Process flow diagram. 5.4. Monitoring a process. 5.5. Diagnosing a process. 5.6. Case study for vendor selection --
6. Statistical tools for quality improvement. 6.1. Statistical process control. 6.2. Trend analysis. 6.3. Process capability. 6.4. Design of experiments. 7. Additional statistical techniques. 7.1. Factorial designs. 7.2. Experimental run. 7.3. Experimenting with two factors: 2[superscript 2]. 7.4. 2[superscript 3] factorial design. 7.5. Fractional factorial experiments. 7.6. A 2[superscript 4] factorial design. 7.7. Saturated designs. 7.8. Response surface methodology. 7.9. Central composite designs. 7.10. Time series analysis. 7.11. Exponentially weighted moving average. 7.12. Systems approach to process adjustment. 7.13. ARIMA modeling of process data. 7.14. Minimum variance control (MVC) --
Appendix A: Glossary and acronyms --
Appendix B: Process conversion factors --
Appendix C: Statistical tables.
Responsibility: Adedeji B. Badiru and Babatunde J. Ayeni.
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...a competant review of the subject of process improvement, and definitly provides a more 'business focused' treatment than many purely statistical process control textbooks. - Journal of the Read more...

 
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