Customized SPC Training
The Quality professionals at MQIP offer customized SPC training for either technical personnel (engineers, technicians, etc.) or shop-floor operators . We will tailor the class to your industry by using data from your processes for case studies and examples where applicable. According to our experience, plenty of audience expresses great difficulty in understanding boring statistics, and can't apply what they learn into their daily work
Technical Personnel : The training for technical personnel is available on-site or public courses. The class can be either 1, 2, 3 or 5 days in length depending on the topics to be covered and the detailed courses expectations that enterprises hope to reach. The 3 and 5 day class is offered through intensive SPC training workshop, all SPC Training material and case studies are developed by using real examples from relevant industry, a two day class outline is as follows:
Concepts in SPC - Quality Manager / Supervisor Training
Objective: |
Refresh Quality Managers on the general principles of Statistical Process Control (SPC) and train them in the advanced techniques that are relevant to your specific industry. Case study examples will be covered using plant/industry specific data.
This class is recommended for supervisors that demonstrate a high level of technical competence and interest in quality control application and techniques. |
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Materials: |
| A complete set of course notes will be provided to all attendees of the 2-day instruction |
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Lesson Plan: Concepts in SPC (Quality Manager)
Day 1 - Morning Session:
Why is quality important?
What is Statistical Process Control? - An overview
Types of Data used in Quality Analysis
Pareto Charts - Construction & Interpretation (Case Study)
Histogram Construction (Case Study)
Descriptive Statistics: Measures of Process Center - Your Data
Measures of Process Variability - Your Data
Normal Curves and their Characteristics
Random vs. Assignable Cause Variation (Common Cause vs. Special Cause)
Day 1 - Afternoon Session:
What is ‘Over-Control' (Case Study: Quincunx )
Process Capability vs. Process Performance Standard Deviations
Review the meaning of Specifications (Nominal, USL, LSL)
Relative Quality Measures: Process Performance Indices (Pp, Ppk, etc.)
Process Capability Indices (Cp, Cpk, etc.)
Case Study - Your Data
Day 2 - Morning Session:
Introduction to Control Charts: XBar and Range Chart
A New Capability Standard Deviation
Case Study - Your Data
Why do we need chart pairs?
Additional Control Tests
Discussion of “In-Control” vs. “In-Specification”
Different uses for Control Charts - Specific Examples
Common Control Chart Pitfalls
Day 2 - Afternoon Session:
Attribute Control Charts
Advanced Control Chart Types: CuSum Charts
EWMA Charts (Parallel Limits & Parabolic Mask)
Gage Resolution - Case Study
Shop-Floor Operators :
Operator training is best performed on-site in an effort to maintain normal plant operation. The typical class consists of 8-10 contact hours with lessons occurring in 2 hour bursts (2 hours per day, 2 hours once per week - depending on actual production requirements). The class can be tailored to ensure coverage of all shifts and crews while maintaining an acceptable production schedule. The operator class will cover the following topics:
Why is quality important?
What is Statistical Process Control? - An overview
Types of Data used in Quality Analysis
Pareto Charts - Construction & Interpretation (Case Study)
Histogram Construction (Case Study)
Descriptive Statistics: Measures of Process Center - Your Data
Measures of Process Variability - Your Data
Normal Curves and their Characteristics
Random vs. Assignable Cause Variation (Common Cause vs. Special Cause)
What is ‘Over-Control' (Case Study: Quincunx )
Process Capability vs. Process Performance Standard Deviations
Review the meaning of Specifications (Nominal, USL, LSL)
Relative Quality Measures: Process Performance Indices (Pp, Ppk, etc.)
Process Capability Indices (Cp, Cpk, etc.)
Introduction to Control Charts: XBar and Range Chart
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MQIP Quality Management Intelligence Tank
Rm.1314, No.27 Shui Yin 2 nd Heng Rd. GuangZhou , China
p: 020-33689262,37597781, f: 020-37597782 |
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