The Objective of this course is to assist companies in the strategic planning and preparation phases of successfully implementing SPC” Statistical Process Control” in any process or product line.
This intensive Five days SPC training course will enable delegates to understand:
- Set up a variable and attribute control chart.
- Select the proper type of control chart for the process.
- Understand the differences between a variety of variables control charts and
- Understand which chart is used when.
- Conduct a full process capability study Identification and evaluation of potential solutions
- Establishing ongoing process control and improvement
UMETTS Consultant certificate will be issued to all attendees completing minimum of 75% of the total tuition hours of the course.
Who Should attend?
This course is designed for general managers, production and quality managers,
supervisors and any possible member of continual improvement projects In general,
organizations at any level.
Day 1: Introduction to Continuous Improvement
- Foundations for Successful Continuous Improvement
- Identifying Key Process Variables & Product Attributes
- Deming’s Views and Influences
Introduction to Statistical Process Control (SPC)
- Definition of SPC
- The Engineering Concept of Variation
Day 2: Understanding Natural Variation
- Deming’s Cycle
- The Basic Idea of the Shewart Control
- Sources of Variation
Control Charts in Manufacturing
- Sampling Manufacturing Processes
- Measurement Data
- Attribute Data
Day 3: Central Tendency Measures
- Statistics that Measure Location
- Average, Median and Mode
- Statistics that Measure Dispersion of Variation
- Range, Sample Variance and Sample Standard Deviation
Statistics and Math Review
- The Central Limit Theorem
- Graphical Summaries
Day 4: Control Charts for Measurement Data
- Control Charts without Sub grouping
- Individual and Moving Range Charts – Example of X-Individual and Moving Range Chart
- Control Charts with Sub grouping
- Bar and R Chart – Example of X-Bar and R Chart. X-bar and s Charts
Control Charts for Attribute Data
- Charts for Nonconforming Units
- NP Chart – P Chart
- Charts for Nonconformities
- c Chart – u Char
Day 5: Analyzing “Special-Cause” Variation
- Pareto Chart
- Fish-Bone” or Ishikawa Diagram