Statistical Process Control & Process Capability

Course "Statistical Process Control & Process Capability" has been pre-approved by RAPS as eligible for up to 12 credits towards a participant's RAC recertification upon full completion.

Overview:

This course teaches participants the fundamental concepts and methods needed to establish effective control charts and estimate process capability. In addition to learning traditional control charts (e.g. xbar, r/s), participants will be exposed to other useful charts for handling multiple sources of variation (within/between) and short production runs. Practical aspects of implementing SPC on the shop floor are also discussed.

Estimating process capability for both normal and non-normal data is discussed. The meaning and limitations of popular capability are presented in detail.

This highly interactive course will allow participants the opportunity to practice applying SPC techniques with various data sets. The objective is to provide participants with the key tools and knowledge to be able to apply the methods effectively for their own processes.

Why should you attend?

• Understand SPC terminology and basic concepts
• Implement traditional control charts for variable and attribute data
• Diagnose control charts to detect process instability
• Ensure appropriate sampling strategies and sample sizes
• Choose the correct type of chart for various applications
• Estimate Process Capability (For Normal and Non-Normal Data)
• Understand limitations of popular capability indices (Cp, Cpk)
• Develop awareness of specialized charting techniques and when to use them
• Be able to make immediate improvements in the implementation of SPC in your organization

Who will benefit:

• Quality & Process Engineers
• Quality Technicians
• SPC Supervisors
• Production Supervisors
• Personnel involved in process development and validation
• Laboratory Personnel
• Manufacturing/Operations Personnel
• Process Improvement Personnel
• Supplier Quality Personnel

Agenda:

Day 1 Schedule:

Lecture 1:

Variation Fundamentals

• Concept of Variation
• Data Types
• The Normal Distribution
• Control Chart Concepts/Examples
• Control Limits vs. Specification Limits
• Definition of Control/Stability

Lecture 2:

Variation Fundamentals (cont'd)

• Definition of Quality
• Sources of Variation
• Process Capability Concepts
• Quality Control vs. Process Control
• Basic Statistics
• Individuals, Averages, and the Central Limit Theorem

Lecture 3:

Traditional Control Charts

• Constructing Charts (Variable Data)
• Xbar/R, Xbar/S, I-MR Charts
• Chart Signals for Special Causes
• Interpreting Charts
• Type I and Type II Errors

Lecture 4:

Traditional Control Charts

• Re-computing Control Limits
• Sampling Procedures and Frequency
• Rational Samples
• Chart Sensitivity / Sample Size
• Determining Appropriate Sample Sizes
• Control Chart Selection

Day 2 Schedule:

Lecture 1:

Process Capability

• Stability vs. Capability
• Types of Capability Assessments
• Estimating PPM / Proportion Defective
• The Standard Normal (Z Values)

Lecture 2:

Process Capability (cont'd)

• Capability Indices: Cp, Cpk, Pp, Ppk
• Interpreting Indices
• Process Capability for Non-Normal Data

Lecture 3:

Other Control Charts

• Charts for Attribute Data
• Charts for Short Production Runs

Lecture 4:

Other Control Charts

• Within/Between Charts (Multiple Locations)
• CUSUM Charts

Location: Baltimore, MD Date: February 4th & 5th 2016 and Time: 9:00 AM to 6:00 PM

Venue: Hilton Garden Inn - Baltimore Inner Harbor

Address: 625 South President Street Baltimore MD 21202

Price: Register now and save $200. (Early Bird)

Until January 10, Early Bird Price: $1,295.00

From January 11 to February 2, Regular Price: $1,495.00

Quick Contact:

NetZealous DBA as GlobalCompliancePanel

Phone: 1-800-447-9407

Fax: 302-288-6884

Email: support@globalcompliancepanel.com      

Website: http://www.globalcompliancepanel.com

Registration Link - http://bit.ly/Statistical-Process-Control