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| 7QC, MSA, DOE, SPC & FMEA >> |
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| 7 QC Tools |
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The 7QC tools are time-tested, excellent problem-solving techniques. The world renown Quality Guru, Mr. Kaoru Ishikawa once said, "More than 95% of the problems in a company can be solved by the 7 QC Tools.
The 7QC course combines Ishikawa's techniques together with the problem-solving model by yet another Quality Guru, Deming, the advocate of the Plan-Do-Check-Act (PDCA) Cycle. These tools use statistical techniques and knowledge to accumulate data and analyse them. They help organise the collected data in a way that is easy to understand. Moreover, by using 7QC tools, specific problems in a process can be identified. |
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Measurement System Analysis (MSA) |
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| A Measurement System Analysis (MSA) is a specially designed experiment that seeks to identify the components of variation in measurements. Just as processes that produce a product may vary, the process of obtaining measurements and the data may have variation and produce defects. MSA is used to evaluate the test method, measuring instruments, and the entire process of obtaining measurements to ensure the integrity of data used for analysis and to identify any measurement errors.
Common tools and techniques in Measurement System Analysis include: calibration studies, components of variance, Attribute Gage Study, Gage Repeat and Reproducibility (R&R), ANOVA Gage R&R, Destructive Testing Analysis and others. |
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| Design Of Experiment (DOE) |
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Design of Experiment (DOE) is one of the most powerful improvement tools. DOE may be used in the design of all information-gathering exercises where variation is present. It is a strategic, enabling methodology to improve process yields and product quality. At the same time, it reduces the product development time and overall costs by changing one or more process characteristics after studying their effects on the product.
In recent years, quality practitioners have used DOE as a key driver for many quality improvement initiatives including Six Sigma. DOE has provided substantial savings to thousands of companies by solving difficult quality problems, reducing product and process variation, and optimizing product/process performance and consistency. |
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| Advanced Statistical Process Control (SPC) |
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| Statistical process control or SPC for short is a statistically-based family of tools used to monitor, control and improve processes. In recent years, the demand for control charts as a process improvement tool has been tremendous, and it has become one of the core tools to be deployed in organizations implementing ISO/TS16949 systems. Herein, selecting and setting up the right type of SPC control chart for a given process is crucial to getting the most benefit from this improvement tool. |
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| Failure Mode & Effect Analysis (FMEA) |
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| Failure Mode & Effect Analysis (FMEA) is an established risk assessment methodology for systematically identifying the potential failure of a product or process, assessing the impact of the failure, and developing an action plan to eliminate or minimize the impact of the potential failure. FMEA focuses on prevention at the design and/or manufacturing processes. A well-developed and comprehensive FMEA can greatly reduce the cost of poor quality and failure. As an interactive process, rigorous continual application can help the organization to improve on the quality of its processes and/or products.
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