Statistical Process Control & Process Capability

Course Objectives

• Basics of SPC: Natural and assignable causes, anatomy of control chart
• Variability, Stability and Capability: Definition of variability, stability and capability, stable vs. unstable process, control limits vs. specification limits
• Selection of Control Charts: Introduce variable and attribute control charts, different types of variable and attribute control charts, flow chart to select appropriate control chart.
• Control Charts for Variables: Xbar-R/S and I-MR charts, within and between variability, construction of control limits using Minitab
• Assumptions: Independence and normality assumptions, checking of independence and normality.
• Interpretation of Control Charts: Out of Control detection, Western Electric Rules
• Control Charts for Attributes: p, np, c and u charts, construction of charts using Minitab
• Out of Control action Plan (OCAP): Need for OCAP, developing OCAP
• Process Capability Assessment: Definition of Cp & Cpk, assumptions, computing Cp & Cpk using Minitab, short terms and long term capability

Target Audience

Engineers and senior technicians in manufacturing, process, product, device, test, RND & QA areas that are involved in the improvement, characterization, control and maintenance of manufacturing, engineering processes, product design and services through data collection.

Methodology

The concepts are explained with every day analogies and real world examples. The learner will get hands-on experience with fun games and step-by-step examples using Minitab.

Course Modules

Module 1: Course Introduction & Objective
Module 2: SPC Chart Selection Guide
Module 3: Common Causes & Special Causes of Variation
Module 4: Card Game Experiment
Module 5: Variable Control Charts
Module 6: Variable Control Charts (continued)
Module 7: Attribute Control Charts
Module 8: Control Chart Summary
Module 9: Process Capability
Module 10: Elements of an Effective SPC Program
Module 11: Course Summary