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Industrial control systems : mathematical and statistical models and techniques / / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni
| Industrial control systems : mathematical and statistical models and techniques / / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni |
| Autore | Badiru Adedeji Bodunde <1952, > |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2012 |
| Descrizione fisica | 1 online resource (374 p.) |
| Disciplina | 658.5072/7 |
| Altri autori (Persone) |
Ibidapo-ObeOye
AyeniBabatunde J |
| Collana | Industrial innovation |
| Soggetto topico |
Process control - Mathematical models
Process control - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-429-13987-X
1-283-34982-5 9786613349828 1-4200-7559-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Authors; Chapter 1: Mathematical modeling for product design; Chapter 2: Dynamic fuzzy systems modeling; Chapter 3: Stochastic systems modeling; Chapter 4: Systems optimization techniques; Chapter 5: Statistical control techniques; Chapter 6: Design of experiment techniques; Chapter 7: Risk analysis and estimation techniques; Chapter 8: Mathematical modeling and control of multi- constrained projects; Chapter 9: Online support vector regression with varying parameters for time-dependent data; Appendix: Mathematical and engineering formulae
Back Cover |
| Record Nr. | UNINA-9910457461303321 |
Badiru Adedeji Bodunde <1952, >
|
||
| Boca Raton : , : CRC Press, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industrial control systems : mathematical and statistical models and techniques / / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni
| Industrial control systems : mathematical and statistical models and techniques / / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni |
| Autore | Badiru Adedeji Bodunde <1952, > |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2012 |
| Descrizione fisica | 1 online resource (374 p.) |
| Disciplina | 658.5072/7 |
| Altri autori (Persone) |
Ibidapo-ObeOye
AyeniBabatunde J |
| Collana | Industrial innovation |
| Soggetto topico |
Process control - Mathematical models
Process control - Statistical methods |
| ISBN |
0-429-13987-X
1-283-34982-5 9786613349828 1-4200-7559-4 |
| Classificazione | TEC016000TEC009000TEC007000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Authors; Chapter 1: Mathematical modeling for product design; Chapter 2: Dynamic fuzzy systems modeling; Chapter 3: Stochastic systems modeling; Chapter 4: Systems optimization techniques; Chapter 5: Statistical control techniques; Chapter 6: Design of experiment techniques; Chapter 7: Risk analysis and estimation techniques; Chapter 8: Mathematical modeling and control of multi- constrained projects; Chapter 9: Online support vector regression with varying parameters for time-dependent data; Appendix: Mathematical and engineering formulae
Back Cover |
| Record Nr. | UNINA-9910781844403321 |
|
Badiru Adedeji Bodunde <1952, >
|
||
| Boca Raton : , : CRC Press, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industrial control systems : mathematical and statistical models and techniques / / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni
| Industrial control systems : mathematical and statistical models and techniques / / Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni |
| Autore | Badiru Adedeji Bodunde <1952, > |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2012 |
| Descrizione fisica | 1 online resource (374 p.) |
| Disciplina | 658.5072/7 |
| Altri autori (Persone) |
Ibidapo-ObeOye
AyeniBabatunde J |
| Collana | Industrial innovation |
| Soggetto topico |
Process control - Mathematical models
Process control - Statistical methods |
| ISBN |
0-429-13987-X
1-283-34982-5 9786613349828 1-4200-7559-4 |
| Classificazione | TEC016000TEC009000TEC007000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Contents; Preface; Acknowledgments; Authors; Chapter 1: Mathematical modeling for product design; Chapter 2: Dynamic fuzzy systems modeling; Chapter 3: Stochastic systems modeling; Chapter 4: Systems optimization techniques; Chapter 5: Statistical control techniques; Chapter 6: Design of experiment techniques; Chapter 7: Risk analysis and estimation techniques; Chapter 8: Mathematical modeling and control of multi- constrained projects; Chapter 9: Online support vector regression with varying parameters for time-dependent data; Appendix: Mathematical and engineering formulae
Back Cover |
| Record Nr. | UNINA-9910828588503321 |
|
Badiru Adedeji Bodunde <1952, >
|
||
| Boca Raton : , : CRC Press, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar
| Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar |
| Autore | Joglekar Anand M |
| Pubbl/distr/stampa | Oxford, : Wileyl, c2010 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina | 658.500727 |
| Soggetto topico |
Process control - Statistical methods
Quality control - Statistical methods Experimental design |
| ISBN |
1-282-68662-3
9786612686627 0-470-58414-9 0-470-58412-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INDUSTRIAL STATISTICS; CONTENTS; PREFACE; 1. BASIC STATISTICS: HOW TO REDUCE FINANCIAL RISK?; 1.1. Capital Market Returns; 1.2. Sample Statistics; 1.3. Population Parameters; 1.4. Confidence Intervals and Sample Sizes; 1.5. Correlation; 1.6. Portfolio Optimization; 1.7. Questions to Ask; 2. WHY NOT TO DO THE USUAL t-TEST AND WHAT TO REPLACE IT WITH?; 2.1. What is a t-Test and what is Wrong with It?; 2.2. Confidence Interval is Better Than a t-Test; 2.3. How Much Data to Collect?; 2.4. Reducing Sample Size; 2.5. Paired Comparison; 2.6. Comparing Two Standard Deviations
2.7. Recommended Design and Analysis Procedure 2.8. Questions to Ask; 3. DESIGN OF EXPERIMENTS: IS IT NOT GOING TO COST TOO MUCH AND TAKE TOO LONG?; 3.1. Why Design Experiments?; 3.2. Factorial Designs; 3.3. Success Factors; 3.4. Fractional Factorial Designs; 3.5. Plackett-Burman Designs; 3.6. Applications; 3.7. Optimization Designs; 3.8. Questions to Ask; 4. WHAT IS THE KEY TO DESIGNING ROBUST PRODUCTS AND PROCESSES?; 4.1. The Key to Robustness; 4.2. Robust Design Method; 4.3. Signal-to-Noise Ratios; 4.4. Achieving Additivity; 4.5. Alternate Analysis Procedure; 4.6. Implications for R&D 4.7. Questions to Ask 5. SETTING SPECIFICATIONS: ARBITRARY OR IS THERE A METHOD TO IT?; 5.1. Understanding Specifications; 5.2. Empirical Approach; 5.3. Functional Approach; 5.4. Minimum Life Cycle Cost Approach; 5.5. Questions to Ask; 6. HOW TO DESIGN PRACTICAL ACCEPTANCE SAMPLING PLANS AND PROCESS VALIDATION STUDIES?; 6.1. Single-Sample Attribute Plans; 6.2. Selecting AQL and RQL; 6.3. Other Acceptance Sampling Plans; 6.4. Designing Validation Studies; 6.5. Questions to Ask; 7. MANAGING AND IMPROVING PROCESSES: HOW TO USE AN AT-A-GLANCE-DISPLAY?; 7.1. Statistical Logic of Control Limits 7.2. Selecting Subgroup Size 7.3. Selecting Sampling Interval; 7.4. Out-of-Control Rules; 7.5. Process Capability and Performance Indices; 7.6. At-A-Glance-Display; 7.7. Questions to Ask; 8. HOW TO FIND CAUSES OF VARIATION BY JUST LOOKING SYSTEMATICALLY?; 8.1. Manufacturing Application; 8.2. Variance Components Analysis; 8.3. Planning for Quality Improvement; 8.4. Structured Studies; 8.5. Questions to Ask; 9. IS MY MEASUREMENT SYSTEM ACCEPTABLE AND HOW TO DESIGN, VALIDATE, AND IMPROVE IT?; 9.1. Acceptance Criteria; 9.2. Designing Cost-Effective Sampling Schemes 9.3. Designing a Robust Measurement System 9.4. Measurement System Validation; 9.5. Repeatability and Reproducibility (R&R) Study; 9.6. Questions to Ask; 10. HOW TO USE THEORY EFFECTIVELY?; 10.1. Empirical Models; 10.2. Mechanistic Models; 10.3. Mechanistic Model for Coat Weight CV; 10.4. Questions to Ask; 11. QUESTIONS AND ANSWERS; 11.1. Questions; 11.2. Answers; APPENDIX: TABLES; REFERENCES; INDEX |
| Record Nr. | UNISA-996215538503316 |
|
Joglekar Anand M
|
||
| Oxford, : Wileyl, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar
| Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar |
| Autore | Joglekar Anand M |
| Pubbl/distr/stampa | Oxford, : Wileyl, c2010 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina | 658.500727 |
| Soggetto topico |
Process control - Statistical methods
Quality control - Statistical methods Experimental design |
| ISBN |
1-282-68662-3
9786612686627 0-470-58414-9 0-470-58412-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INDUSTRIAL STATISTICS; CONTENTS; PREFACE; 1. BASIC STATISTICS: HOW TO REDUCE FINANCIAL RISK?; 1.1. Capital Market Returns; 1.2. Sample Statistics; 1.3. Population Parameters; 1.4. Confidence Intervals and Sample Sizes; 1.5. Correlation; 1.6. Portfolio Optimization; 1.7. Questions to Ask; 2. WHY NOT TO DO THE USUAL t-TEST AND WHAT TO REPLACE IT WITH?; 2.1. What is a t-Test and what is Wrong with It?; 2.2. Confidence Interval is Better Than a t-Test; 2.3. How Much Data to Collect?; 2.4. Reducing Sample Size; 2.5. Paired Comparison; 2.6. Comparing Two Standard Deviations
2.7. Recommended Design and Analysis Procedure 2.8. Questions to Ask; 3. DESIGN OF EXPERIMENTS: IS IT NOT GOING TO COST TOO MUCH AND TAKE TOO LONG?; 3.1. Why Design Experiments?; 3.2. Factorial Designs; 3.3. Success Factors; 3.4. Fractional Factorial Designs; 3.5. Plackett-Burman Designs; 3.6. Applications; 3.7. Optimization Designs; 3.8. Questions to Ask; 4. WHAT IS THE KEY TO DESIGNING ROBUST PRODUCTS AND PROCESSES?; 4.1. The Key to Robustness; 4.2. Robust Design Method; 4.3. Signal-to-Noise Ratios; 4.4. Achieving Additivity; 4.5. Alternate Analysis Procedure; 4.6. Implications for R&D 4.7. Questions to Ask 5. SETTING SPECIFICATIONS: ARBITRARY OR IS THERE A METHOD TO IT?; 5.1. Understanding Specifications; 5.2. Empirical Approach; 5.3. Functional Approach; 5.4. Minimum Life Cycle Cost Approach; 5.5. Questions to Ask; 6. HOW TO DESIGN PRACTICAL ACCEPTANCE SAMPLING PLANS AND PROCESS VALIDATION STUDIES?; 6.1. Single-Sample Attribute Plans; 6.2. Selecting AQL and RQL; 6.3. Other Acceptance Sampling Plans; 6.4. Designing Validation Studies; 6.5. Questions to Ask; 7. MANAGING AND IMPROVING PROCESSES: HOW TO USE AN AT-A-GLANCE-DISPLAY?; 7.1. Statistical Logic of Control Limits 7.2. Selecting Subgroup Size 7.3. Selecting Sampling Interval; 7.4. Out-of-Control Rules; 7.5. Process Capability and Performance Indices; 7.6. At-A-Glance-Display; 7.7. Questions to Ask; 8. HOW TO FIND CAUSES OF VARIATION BY JUST LOOKING SYSTEMATICALLY?; 8.1. Manufacturing Application; 8.2. Variance Components Analysis; 8.3. Planning for Quality Improvement; 8.4. Structured Studies; 8.5. Questions to Ask; 9. IS MY MEASUREMENT SYSTEM ACCEPTABLE AND HOW TO DESIGN, VALIDATE, AND IMPROVE IT?; 9.1. Acceptance Criteria; 9.2. Designing Cost-Effective Sampling Schemes 9.3. Designing a Robust Measurement System 9.4. Measurement System Validation; 9.5. Repeatability and Reproducibility (R&R) Study; 9.6. Questions to Ask; 10. HOW TO USE THEORY EFFECTIVELY?; 10.1. Empirical Models; 10.2. Mechanistic Models; 10.3. Mechanistic Model for Coat Weight CV; 10.4. Questions to Ask; 11. QUESTIONS AND ANSWERS; 11.1. Questions; 11.2. Answers; APPENDIX: TABLES; REFERENCES; INDEX |
| Record Nr. | UNINA-9910140598003321 |
|
Joglekar Anand M
|
||
| Oxford, : Wileyl, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar
| Industrial statistics [[electronic resource] ] : practical methods and guidance for improved performance / / Anand M. Joglekar |
| Autore | Joglekar Anand M |
| Pubbl/distr/stampa | Oxford, : Wileyl, c2010 |
| Descrizione fisica | 1 online resource (283 p.) |
| Disciplina | 658.500727 |
| Soggetto topico |
Process control - Statistical methods
Quality control - Statistical methods Experimental design |
| ISBN |
1-282-68662-3
9786612686627 0-470-58414-9 0-470-58412-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
INDUSTRIAL STATISTICS; CONTENTS; PREFACE; 1. BASIC STATISTICS: HOW TO REDUCE FINANCIAL RISK?; 1.1. Capital Market Returns; 1.2. Sample Statistics; 1.3. Population Parameters; 1.4. Confidence Intervals and Sample Sizes; 1.5. Correlation; 1.6. Portfolio Optimization; 1.7. Questions to Ask; 2. WHY NOT TO DO THE USUAL t-TEST AND WHAT TO REPLACE IT WITH?; 2.1. What is a t-Test and what is Wrong with It?; 2.2. Confidence Interval is Better Than a t-Test; 2.3. How Much Data to Collect?; 2.4. Reducing Sample Size; 2.5. Paired Comparison; 2.6. Comparing Two Standard Deviations
2.7. Recommended Design and Analysis Procedure 2.8. Questions to Ask; 3. DESIGN OF EXPERIMENTS: IS IT NOT GOING TO COST TOO MUCH AND TAKE TOO LONG?; 3.1. Why Design Experiments?; 3.2. Factorial Designs; 3.3. Success Factors; 3.4. Fractional Factorial Designs; 3.5. Plackett-Burman Designs; 3.6. Applications; 3.7. Optimization Designs; 3.8. Questions to Ask; 4. WHAT IS THE KEY TO DESIGNING ROBUST PRODUCTS AND PROCESSES?; 4.1. The Key to Robustness; 4.2. Robust Design Method; 4.3. Signal-to-Noise Ratios; 4.4. Achieving Additivity; 4.5. Alternate Analysis Procedure; 4.6. Implications for R&D 4.7. Questions to Ask 5. SETTING SPECIFICATIONS: ARBITRARY OR IS THERE A METHOD TO IT?; 5.1. Understanding Specifications; 5.2. Empirical Approach; 5.3. Functional Approach; 5.4. Minimum Life Cycle Cost Approach; 5.5. Questions to Ask; 6. HOW TO DESIGN PRACTICAL ACCEPTANCE SAMPLING PLANS AND PROCESS VALIDATION STUDIES?; 6.1. Single-Sample Attribute Plans; 6.2. Selecting AQL and RQL; 6.3. Other Acceptance Sampling Plans; 6.4. Designing Validation Studies; 6.5. Questions to Ask; 7. MANAGING AND IMPROVING PROCESSES: HOW TO USE AN AT-A-GLANCE-DISPLAY?; 7.1. Statistical Logic of Control Limits 7.2. Selecting Subgroup Size 7.3. Selecting Sampling Interval; 7.4. Out-of-Control Rules; 7.5. Process Capability and Performance Indices; 7.6. At-A-Glance-Display; 7.7. Questions to Ask; 8. HOW TO FIND CAUSES OF VARIATION BY JUST LOOKING SYSTEMATICALLY?; 8.1. Manufacturing Application; 8.2. Variance Components Analysis; 8.3. Planning for Quality Improvement; 8.4. Structured Studies; 8.5. Questions to Ask; 9. IS MY MEASUREMENT SYSTEM ACCEPTABLE AND HOW TO DESIGN, VALIDATE, AND IMPROVE IT?; 9.1. Acceptance Criteria; 9.2. Designing Cost-Effective Sampling Schemes 9.3. Designing a Robust Measurement System 9.4. Measurement System Validation; 9.5. Repeatability and Reproducibility (R&R) Study; 9.6. Questions to Ask; 10. HOW TO USE THEORY EFFECTIVELY?; 10.1. Empirical Models; 10.2. Mechanistic Models; 10.3. Mechanistic Model for Coat Weight CV; 10.4. Questions to Ask; 11. QUESTIONS AND ANSWERS; 11.1. Questions; 11.2. Answers; APPENDIX: TABLES; REFERENCES; INDEX |
| Record Nr. | UNINA-9910809710903321 |
|
Joglekar Anand M
|
||
| Oxford, : Wileyl, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrated statistical and automatic process control : hybrid process and quality control / / G. Venkatesan
| Integrated statistical and automatic process control : hybrid process and quality control / / G. Venkatesan |
| Autore | Venkatesan G. |
| Pubbl/distr/stampa | Oxford, U.K : , : Alpha Science International, , [2014] |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 658.562015195 |
| Soggetto topico | Process control - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-78332-062-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910467308003321 |
|
Venkatesan G.
|
||
| Oxford, U.K : , : Alpha Science International, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrated statistical and automatic process control : hybrid process and quality control / / G. Venkatesan
| Integrated statistical and automatic process control : hybrid process and quality control / / G. Venkatesan |
| Autore | Venkatesan G. |
| Pubbl/distr/stampa | Oxford, U.K : , : Alpha Science International, , [2014] |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 658.562015195 |
| Soggetto topico | Process control - Statistical methods |
| ISBN | 1-78332-062-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794884803321 |
|
Venkatesan G.
|
||
| Oxford, U.K : , : Alpha Science International, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrated statistical and automatic process control : hybrid process and quality control / / G. Venkatesan
| Integrated statistical and automatic process control : hybrid process and quality control / / G. Venkatesan |
| Autore | Venkatesan G. |
| Pubbl/distr/stampa | Oxford, U.K : , : Alpha Science International, , [2014] |
| Descrizione fisica | 1 online resource (241 pages) |
| Disciplina | 658.562015195 |
| Soggetto topico | Process control - Statistical methods |
| ISBN | 1-78332-062-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910810146303321 |
|
Venkatesan G.
|
||
| Oxford, U.K : , : Alpha Science International, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Introduction to statistical process control / / Muhammad Aslam, Aamir Saghir, Liaquat Ahmad
| Introduction to statistical process control / / Muhammad Aslam, Aamir Saghir, Liaquat Ahmad |
| Autore | Aslam Muhammad |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (282 pages) |
| Disciplina | 658.562015195 |
| Soggetto topico | Process control - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-52844-5
1-119-52843-7 1-119-52842-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555106703321 |
|
Aslam Muhammad
|
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| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
