Event Details

16 hours
Instructor-led class training, with opportunities to practice learned skills using prepared data, live demonstrations, and data collected real time in class
Minitab Statistical Software

Description

SPC is an effective method to control processes but also the foundation for continuous improvement. This course provides participants with the basic statistical techniques and strategies for process control and improvement. Participants will gain knowledge of the fundamentals of process improvement, concept of variation, and statistical control, be introduced to statistical software, and learn other simple but powerful statistical techniques.

This course emphasizes the concepts that motivate and underlie the techniques along with practical advice for implementation so that the participant can effectively use these techniques on their own processes. In addition to on-line SPC, this course points out the use of off-line SPC as the foundation for more advanced data analysis methods.

Who Should Attend

This course is designed for engineers, quality professionals, researchers, and managers who need to understand and use statistical control methods.

Learning Objectives

Through training, participants will:

Know the difference between common and special cause in order to correctly decide when an unwanted process change has occurred so that appropriate root cause corrective action can be taken.
Identify specific areas of opportunity for SPC implementation within their companies
Achieve an in-depth understanding of the concepts underlying SPC including using statistical software to gain information about center, spread, and shape to improve process characterization
Examine the necessary steps in implementing effective SPC, including selecting the right SPC chart for their type of data and out-of-control action plans (OCAPs)
Know how to apply the concept of capability so that continuous improvement actions can effectively be identified and efforts focused on centering, reduction of variation, or stability improvement

Course Outline

Fundamentals of Process Improvement and Concepts of Variation

History of SPC/Concept of Loss
Definitions of Statistics, Process, Control
Stable versus Unstable Process
Common versus Special Causes
Four States of Process

Deriving Information from Data

Attribute vs. Variables Data
Measure of Location and Dispersion
Histograms
Empirical Rule/Normal Distribution
How Averages Behave

Statistical Process Control Charts

Concept Behind Control Charts
Basic Variables Control Charts: Xbar-R, Xbar-S, I-MR
Handling batched process with the I/MR/R Chart
Basic Attribute Control Charts: np, p, c, u
Subgrouping Techniques
OOC Rule Selection
Chart Critique and Interpretation
Out-of-Control Action Plan (OCAP)

Effective Implementation Strategies

Process Capability
Capability for Attribute versus Variables Data
Definitions of Capability Indices: Cp, Cpk, Pp, Ppk, Non-Normal Cpk
Use and Abuse of Capability Indices
Capability Graph and Selecting Appropriate Improvement Actions

Prerequisites

None

Instructors

Saleha Yusof-Mullenix

Kyle Jordan

★★★★★ 5/5

Quality Support Group provides world class training in many useful topics. Their trainers, specifically Don and Dave, are very knowledgeable and genuinely there to help you learn and understand. I took their Green Belt training and certification, and highly recommend it. They have excellent training material, software tools, and activities. They are teaching from many years of experience and have so much technical and industry knowledge that makes it easier to relate to, understand, and apply the concepts. From this experience, I will definitely be looking to get more training from them to improve my skills. I highly recommend reaching out to QSG for your training needs and more. My company, Hexagon, has trusted them for years, having them continually train our employees in regulatory standards, problem solving 8D, continuous improvement, etc

Statistical Process Control (SPC)

Course Summary

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