This is a comprehensive quality engineering certification course aimed at developing your understanding of different principles, methodologies and aspects of quality engineering.
DurationThis is a comprehensive quality engineering certification program aimed at developing your understanding of different principles, methodologies and aspects of quality engineering.
Outline:
1. Management & Leadership
- Review the body of knowledge in preparation for the 'ASQ' Certified Quality Engineer examination
- Refine their thinking approach in preparation for the ‘constructed response’ section of the examination
- Apply the components of the Body of Knowledge (BOK) to further focus their preparation efforts
- Master the effective use of the tools covered in the quantitative methods, reliability, and acceptance sampling sections of the body of knowledge
- Explain, through discussions, the main concepts in each of the BOK elements
- Practice mock exams
2. Acceptance Sampling:
- General Concepts
- Operating Characteristics (OC) Curves
- Type I (Producer’s) and Type II (Consumer’s) Risk
- Overview of Acceptance Sampling Plans
3. Reliability and Risk Management:
- Terms and Definitions
- Design of Systems for Reliability (Series, Parallel-Series, and Series-Parallel Systems)
- Reliability Life Characteristic Concepts
- Active vs. Passive Redundancy
- Failure Rates and the Bathtub Curve
- Availability and Maintainability
- Calculation of MTTF and MTBF
- Methods to Maintain Process and Product Reliability
4. Quantitative Methods:
- Concepts of Probability and Statistics
- Properties and Applications of Probability Distributions
- Collecting and Summarizing Data
- Relationships Between Variables
- Statistical Decision-Making (Confidence Intervals, Hypothesis Tests, Paired-t Tests, etc.)
- Designing Experiments
- Analyzing Process Capability
- Statistical Process Control (SPC)
5. Relationship Between Variables:
- Linear Regression
- Time Series Analysis
- Simple Linear Correlation
- Correlation and Causation
6. Statistical Process Control:
- Objectives and Benefits
- Selection of Variable
- Common and Special Causes
- Rational Subgrouping
- Control Chart Analysis
- Control Charts (Variable Data)
- Control Charts (Attribute Data)
- Short-Run SPC
- Comparing before and after Control charts
- Pre-Control Charts
Quadra Plus is a leading training professional training offering a range of courses for professionals to help them meet the growing challenges of the 21st Century business world. It was conceptualised to bridge the growing gap between the industry standards and skill expectations of the employees. and budding professionals.
The purpose is to equip the professionals with adequate knowledge and skills which are in line with the industry trends so that the professionals can take ownership of their career.
Highlight Points Of Quadra Plus:
- Industry expert trainers
- Customised programs
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