Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Probabilistic design for optimization and robustness for engineers / / Bryan Dodson, Patrick C. Hammett, René Klerx
| Probabilistic design for optimization and robustness for engineers / / Bryan Dodson, Patrick C. Hammett, René Klerx |
| Autore | Dodson Bryan <1962-> |
| Pubbl/distr/stampa | West Sussex, England : , : John Wiley & Sons, Inc., , 2014 |
| Descrizione fisica | 1 online resource (270 p.) |
| Disciplina | 620/.00452 |
| Soggetto topico |
Industrial design - Statistical methods
Reliability (Engineering) Robust statistics |
| ISBN |
1-118-79624-1
1-118-79650-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Probabilistic Design for Optimization and Robustness for Engineers; Contents; Preface; Acknowledgments; 1 New product development process; 1.1 Introduction; 1.2 Phases of new product development; 1.2.1 Phase I-concept planning; 1.2.2 Phase II-product planning; 1.2.3 Phase III-product engineering design and verification; 1.2.4 Phase IV-process engineering; 1.2.5 Phase V-manufacturing validation and ramp-up; 1.3 Patterns of new product development; 1.4 New product development and Design for Six Sigma; 1.4.1 DfSS core objectives; 1.4.2 DfSS methodology; 1.4.3 Embedded DfSS; 1.5 Summary
Exercises2 Statistical background for engineering design; 2.1 Expectation; 2.2 Statistical distributions; 2.2.1 Normal distribution; 2.2.2 Lognormal distribution; 2.2.3 Weibull distribution; 2.2.4 Exponential distribution; 2.3 Probability plotting; 2.3.1 Probability plotting-lognormal distribution; 2.3.2 Probability plotting-normal distribution; 2.3.3 Probability plotting-Weibull distribution; 2.3.4 Probability plotting-exponential distribution; 2.3.5 Probability plotting with confidence limits; 2.4 Summary; Exercises; 3 Introduction to variation in engineering design 3.1 Variation in engineering design3.2 Propagation of error; 3.3 Protecting designs against variation; 3.4 Estimates of means and variances of functions of several variables; 3.5 Statistical bias; 3.6 Robustness; 3.7 Summary; Exercises; 4 Monte Carlo simulation; 4.1 Determining variation of the inputs; 4.2 Random number generators; 4.3 Validation; 4.4 Stratified sampling; 4.5 Summary; Exercises; 5 Modeling variation of complex systems; 5.1 Approximating the mean, bias, and variance; 5.2 Estimating the parameters of non-normal distributions 5.3 Limitations of first-order Taylor series approximation for variance5.4 Effect of non-normal input distributions; 5.5 Nonconstant input standard deviation; 5.6 Summary; Exercises; 6 Desirability; 6.1 Introduction; 6.2 Requirements and scorecards; 6.2.1 Types of requirements; 6.2.2 Design scorecard; 6.3 Desirability-single requirement; 6.3.1 Desirability-one-sided limit; 6.3.2 Desirability-two-sided limit; 6.3.3 Desirability-nonlinear function; 6.4 Desirability-multiple requirements; 6.4.1 Maxi-min total desirability index; 6.5 Desirability-accounting for variation 6.5.1 Determining desirability-using expected yields6.5.2 Determining desirability-using non-mean responses; 6.6 Summary; Exercises; 7 Optimization and sensitivity; 7.1 Optimization procedure; 7.2 Statistical outliers; 7.3 Process capability; 7.4 Sensitivity and cost reduction; 7.4.1 Reservoir flow example; 7.4.2 Reservoir flow initial solution; 7.4.3 Reservoir flow initial solution verification; 7.4.4 Reservoir flow optimized with normal horsepower distribution; 7.4.5 Reservoir flow optimized with normal horsepower distribution verification 7.4.6 Reservoir flow horsepower variation sensitivity |
| Record Nr. | UNINA-9910132193703321 |
Dodson Bryan <1962->
|
||
| West Sussex, England : , : John Wiley & Sons, Inc., , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Probabilistic design for optimization and robustness for engineers / / Bryan Dodson, Patrick C. Hammett, René Klerx
| Probabilistic design for optimization and robustness for engineers / / Bryan Dodson, Patrick C. Hammett, René Klerx |
| Autore | Dodson Bryan <1962-> |
| Pubbl/distr/stampa | West Sussex, England : , : John Wiley & Sons, Inc., , 2014 |
| Descrizione fisica | 1 online resource (270 p.) |
| Disciplina | 620/.00452 |
| Soggetto topico |
Industrial design - Statistical methods
Reliability (Engineering) Robust statistics |
| ISBN |
1-118-79624-1
1-118-79650-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Probabilistic Design for Optimization and Robustness for Engineers; Contents; Preface; Acknowledgments; 1 New product development process; 1.1 Introduction; 1.2 Phases of new product development; 1.2.1 Phase I-concept planning; 1.2.2 Phase II-product planning; 1.2.3 Phase III-product engineering design and verification; 1.2.4 Phase IV-process engineering; 1.2.5 Phase V-manufacturing validation and ramp-up; 1.3 Patterns of new product development; 1.4 New product development and Design for Six Sigma; 1.4.1 DfSS core objectives; 1.4.2 DfSS methodology; 1.4.3 Embedded DfSS; 1.5 Summary
Exercises2 Statistical background for engineering design; 2.1 Expectation; 2.2 Statistical distributions; 2.2.1 Normal distribution; 2.2.2 Lognormal distribution; 2.2.3 Weibull distribution; 2.2.4 Exponential distribution; 2.3 Probability plotting; 2.3.1 Probability plotting-lognormal distribution; 2.3.2 Probability plotting-normal distribution; 2.3.3 Probability plotting-Weibull distribution; 2.3.4 Probability plotting-exponential distribution; 2.3.5 Probability plotting with confidence limits; 2.4 Summary; Exercises; 3 Introduction to variation in engineering design 3.1 Variation in engineering design3.2 Propagation of error; 3.3 Protecting designs against variation; 3.4 Estimates of means and variances of functions of several variables; 3.5 Statistical bias; 3.6 Robustness; 3.7 Summary; Exercises; 4 Monte Carlo simulation; 4.1 Determining variation of the inputs; 4.2 Random number generators; 4.3 Validation; 4.4 Stratified sampling; 4.5 Summary; Exercises; 5 Modeling variation of complex systems; 5.1 Approximating the mean, bias, and variance; 5.2 Estimating the parameters of non-normal distributions 5.3 Limitations of first-order Taylor series approximation for variance5.4 Effect of non-normal input distributions; 5.5 Nonconstant input standard deviation; 5.6 Summary; Exercises; 6 Desirability; 6.1 Introduction; 6.2 Requirements and scorecards; 6.2.1 Types of requirements; 6.2.2 Design scorecard; 6.3 Desirability-single requirement; 6.3.1 Desirability-one-sided limit; 6.3.2 Desirability-two-sided limit; 6.3.3 Desirability-nonlinear function; 6.4 Desirability-multiple requirements; 6.4.1 Maxi-min total desirability index; 6.5 Desirability-accounting for variation 6.5.1 Determining desirability-using expected yields6.5.2 Determining desirability-using non-mean responses; 6.6 Summary; Exercises; 7 Optimization and sensitivity; 7.1 Optimization procedure; 7.2 Statistical outliers; 7.3 Process capability; 7.4 Sensitivity and cost reduction; 7.4.1 Reservoir flow example; 7.4.2 Reservoir flow initial solution; 7.4.3 Reservoir flow initial solution verification; 7.4.4 Reservoir flow optimized with normal horsepower distribution; 7.4.5 Reservoir flow optimized with normal horsepower distribution verification 7.4.6 Reservoir flow horsepower variation sensitivity |
| Record Nr. | UNINA-9910823859103321 |
|
Dodson Bryan <1962->
|
||
| West Sussex, England : , : John Wiley & Sons, Inc., , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical robust design : an industrial perspective / / Magnus Arner
| Statistical robust design : an industrial perspective / / Magnus Arner |
| Autore | Arner Magnus |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (246 p.) |
| Disciplina | 745.2 |
| Soggetto topico |
Industrial design - Statistical methods
Robust statistics |
| ISBN |
1-118-84195-6
1-118-84200-6 1-118-84194-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Robust Design; Contents; Preface; 1 What is robust design?; 1.1 The importance of small variation; 1.2 Variance reduction; 1.3 Variation propagation; 1.4 Discussion; 1.4.1 Limitations; 1.4.2 The outline of this book; Exercises; 2 DOE for robust design, part 1; 2.1 Introduction; 2.1.1 Noise factors; 2.1.2 Control factors; 2.1.3 Control-by-noise interactions; 2.2 Combined arrays: An example from the packaging industry; 2.2.1 The experimental array; 2.2.2 Factor effect plots; 2.2.3 Analytical analysis and statistical significance; 2.2.4 Some additional comments on the plotting
2.3 Dispersion effectsExercises; Reference; 3 Noise and control factors; 3.1 Introduction to noise factors; 3.1.1 Categories of noise; 3.2 Finding the important noise factors; 3.2.1 Relating noise to failure modes; 3.2.2 Reducing the number of noise factors; 3.3 How to include noise in a designed experiment; 3.3.1 Compounding of noise factors; 3.3.2 How to include noise in experimentation; 3.3.3 Process parameters; 3.4 Control factors; Exercises; References; 4 Response, signal, and P diagrams; 4.1 The idea of signal and response; 4.1.1 Two situations; 4.2 Ideal functions and P diagrams 4.2.1 Noise or signal factor4.2.2 Control or signal factor; 4.2.3 The scope; 4.3 The signal; 4.3.1 Including a signal in a designed experiment; Exercises; 5 DOE for robust design, part 2; 5.1 Combined and crossed arrays; 5.1.1 Classical DOE versus DOE for robust design; 5.1.2 The structure of inner and outer arrays; 5.2 Including a signal in a designed experiment; 5.2.1 Combined arrays with a signal; 5.2.2 Inner and outer arrays with a signal; 5.3 Crossed arrays versus combined arrays; 5.3.1 Differences in factor aliasing; 5.4 Crossed arrays and split-plot designs 8 Mathematics of robust design8.1 Notational system; 8.2 The objective function; 8.2.1 Multidimensional problems; 8.2.2 Optimization in the presence of a signal; 8.2.3 Matrix formulation; 8.2.4 Pareto optimality; 8.3 ANOVA for robust design; 8.3.1 Traditional ANOVA; 8.3.2 Functional ANOVA; 8.3.3 Sensitivity indices; Exercises; References; 9 Design and analysis of computer experiments; 9.1 Overview of computer experiments; 9.1.1 Robust design; 9.2 Experimental arrays for computer experiments; 9.2.1 Screening designs; 9.2.2 Space filling designs; 9.2.3 Latin hypercubes 9.2.4 Latin hypercube designs and alphabetical optimality criteria |
| Record Nr. | UNINA-9910138960203321 |
|
Arner Magnus
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical robust design : an industrial perspective / / Magnus Arner
| Statistical robust design : an industrial perspective / / Magnus Arner |
| Autore | Arner Magnus |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (246 p.) |
| Disciplina | 745.2 |
| Soggetto topico |
Industrial design - Statistical methods
Robust statistics |
| ISBN |
1-118-84195-6
1-118-84200-6 1-118-84194-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Statistical Robust Design; Contents; Preface; 1 What is robust design?; 1.1 The importance of small variation; 1.2 Variance reduction; 1.3 Variation propagation; 1.4 Discussion; 1.4.1 Limitations; 1.4.2 The outline of this book; Exercises; 2 DOE for robust design, part 1; 2.1 Introduction; 2.1.1 Noise factors; 2.1.2 Control factors; 2.1.3 Control-by-noise interactions; 2.2 Combined arrays: An example from the packaging industry; 2.2.1 The experimental array; 2.2.2 Factor effect plots; 2.2.3 Analytical analysis and statistical significance; 2.2.4 Some additional comments on the plotting
2.3 Dispersion effectsExercises; Reference; 3 Noise and control factors; 3.1 Introduction to noise factors; 3.1.1 Categories of noise; 3.2 Finding the important noise factors; 3.2.1 Relating noise to failure modes; 3.2.2 Reducing the number of noise factors; 3.3 How to include noise in a designed experiment; 3.3.1 Compounding of noise factors; 3.3.2 How to include noise in experimentation; 3.3.3 Process parameters; 3.4 Control factors; Exercises; References; 4 Response, signal, and P diagrams; 4.1 The idea of signal and response; 4.1.1 Two situations; 4.2 Ideal functions and P diagrams 4.2.1 Noise or signal factor4.2.2 Control or signal factor; 4.2.3 The scope; 4.3 The signal; 4.3.1 Including a signal in a designed experiment; Exercises; 5 DOE for robust design, part 2; 5.1 Combined and crossed arrays; 5.1.1 Classical DOE versus DOE for robust design; 5.1.2 The structure of inner and outer arrays; 5.2 Including a signal in a designed experiment; 5.2.1 Combined arrays with a signal; 5.2.2 Inner and outer arrays with a signal; 5.3 Crossed arrays versus combined arrays; 5.3.1 Differences in factor aliasing; 5.4 Crossed arrays and split-plot designs 8 Mathematics of robust design8.1 Notational system; 8.2 The objective function; 8.2.1 Multidimensional problems; 8.2.2 Optimization in the presence of a signal; 8.2.3 Matrix formulation; 8.2.4 Pareto optimality; 8.3 ANOVA for robust design; 8.3.1 Traditional ANOVA; 8.3.2 Functional ANOVA; 8.3.3 Sensitivity indices; Exercises; References; 9 Design and analysis of computer experiments; 9.1 Overview of computer experiments; 9.1.1 Robust design; 9.2 Experimental arrays for computer experiments; 9.2.1 Screening designs; 9.2.2 Space filling designs; 9.2.3 Latin hypercubes 9.2.4 Latin hypercube designs and alphabetical optimality criteria |
| Record Nr. | UNINA-9910823806403321 |
|
Arner Magnus
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
