Experimental Design and Analysis (Preliminary-Intermediate Level)
Date: April 9 to April 11 9:30 - 16:30
Site: Hyatt Regency Shanghai Wujiaochang
Address: No. 88, Dingdong Road, Yangpu District, Shanghai
Length of time: 3 days (6 hours * 3 = 18 hours)
Preferential price: RMB 4,800/person (before March 16th)
Standard price: RMB 5,500/person
Note: Pre-session training is only available to those who sign up for the session. Training fees only cover the training and working luncheon. Other services shall be at the attendees' own expenses.
Instructor: Xu Zhan Senior Data Analysis Consultant of JMP China
Instructor profile: Current Data Analysis Consultant of JMP China, Master Degree of Industrial Engineering of Tsinghua University. He is familiar with the Six Sigma management philosophy and practice, and proficient in the application of such statistical analysis methods as exploratory data analysis, experimental design, modeling prediction, survival and reliability analysis, and statistical process control in practical work. He has rich expertise in the application of statistical technology in high tech, pharmaceuticals, finance and automobile industries, and has provided professional training for more than 50 well-known enterprises.
Who should attend:
- Engineers, technicians, teachers and students in the engineering management field who are responsible for planning and implementation of design of experiments (DOE); others who have just started out and are interested in DOE.
Course Content:
- Overall introduction of DOE
- Differences between DOE and traditional analysis methods
- DOE core technology
- Terminology and analysis ideas of DOE
- Applied statistics foundation of DOE
- Hypothesis testing
- Analysis of Variance (ANOVA)
- Regression analysis
- Descriptive Type DOE
- Three basic principles of DOE
- 2kfull factorial designs
- Screening Type DOE
- Partial factorial designs
- Interpretation of the resolution table
- Plackett-Burman designs
- Optimized Type DOE
- Response surface designs
- Construction of the desirability functions
- Graphics presentation of polynomial models
- Model simulation and prediction
- Overview of advanced DOE
- Custom designs
- Augmented designs
- Questions and Discussions
Experimental Designs and Analysis (Advanced)
Date: April 10 to April 11 9:30 - 16:30
Site: Hyatt Regency Shanghai Wujiaochang
Address: No. 88, Dingdong Road, Yangpu District, Shanghai
Length of time: 2 days (6 hours * 2 = 12 hours)
Preferential price: RMB 4,800/person (before March 16th)
Standard price: RMB 5,500/person
Note: Pre-session training is only available to those who sign up for the session. Training fees only cover the training and working luncheon. Other services shall be at the attendees' own expenses.
Instructor: Zhou Wei Consulting Manager of JMP China
Instructor profile: Current Consultant Manager of JMP China and Six Sigma MBB. As the senior expert member of Six Sigma Expert Committee of China Quality Association, he is proficient in Lean Six Sigma, quality management, industrial engineering, DOE, etc. He has provided professional training experience for over 200 well-known enterprises.
Who should attend:
- Engineers, technicians, teachers and students in the engineering management field responsible for the planning and implementation of design of experiments (DOE); others who have relatively rich experience in DOE.
Course content:
- Quick review of classical DOE
- Terminology and analysis ideas of DOE
- Advantages and disadvantages of traditional DOE
- Overall introduction of DOE Family
- Custom designs
- Discrimination criteria for experimental schemes
- Standardization steps of DOE
- Improvement of the existing DOEs
- Classroom exercises and sharing (I)
- Determination of Sample Size
- Minimum sample size for continuous experimental results
- Minimum sample size for discrete experimental results
- Sample size problem in reliability experiments
- Other types of DOEs
- Mixture designs
- Taguchi designs
- Nonlinear designs
- Space filling designs
- Option designs
- Definitive screening designs
- Classroom Exercises and Sharing (II)
Reliability Analysis
Date: April 9 to April 11 9:30 - 16:30
Site: Hyatt Regency Shanghai Wujiaochang
Address: No. 88, Dingdong Road, Yangpu District, Shanghai
Length of time: 3 days (6 hours * 3 = 18 hours)
Preferential price: RMB 4,800/person (before March 16th)
Standard price: RMB 5,500/person
Note: Pre-session training is only available to those who sign up for the session. Training fees only cover the training and working luncheon. Other services shall be at the attendees' own expenses.
Instructor: Chen Jiasong, Senior Consultant of JMP China
Instructor profile: Current Senior Consultant of JMP China, Quality Management Analyst, Six Sigma MBB and ISO9001 Director Auditor. He is familiar with the Six Sigma management philosophy and practice, proficient in the application of such statistical analysis methods as exploratory data analysis, experimental design, modeling prediction, survival and reliability analysis, statistical process control and market research in practical work. He is specialized in the deep integration of modern analytical tools and business processes, capable of establishing standardized custom analysis platforms through secondary development of software, and improving the data analysis level for the user in an all-round way. He has rich expertise in application of statistical analysis technology in semiconductor, electronics, pharmaceuticals, chemical engineering and education industries.
Who should attend:
- Engineers, technicians, teachers and students in the engineering management field responsible for the planning and implementation of product reliability tests and analysis; others who are interested in DOE.
Course content:
Life data analysis
- Life data and censoring types
- Nonparametric models and estimation
- Parametric models and maximum likelihood estimation; parametric model selection and application
- Analysis of competition failure mechanism; model establishment and application
Design of common censoring life tests
- Testing purposes
- Determination of sample size
- Determination of test lengths
Analysis of accelerated life test data
- Testing purposes and data types
- Analysis of single-stress accelerated life test data; test hypothesis and verification; model selection and application
- Analysis of multi-stress accelerated life test data; parametric model establishment, selection and application
Design of accelerated life tests
- Design of single-stress accelerated life tests
Prediction of quality assurance reserve
- Purposes of quality assurance reserve prediction and types of field data
- Modeling and selection of quality assurance field data
- Types, calculation, evaluation and selection of the confidence interval of quality assurance reserve prediction
Reliability growth tests and field data analysis
- Purposes and data types of reliability growth tests
- Types, parameter estimation, model selection and application of reliability growth parameter models
- Incomplete data, models, parameter estimation and model application of reliability growth fields
Reliability block diagram
- Intended use of reliability block diagram
- Components of reliability block diagram
- Types and settings of reliability block diagram components
- Output data and application of reliability block diagrams
