Process Control Design using SPC 2 days
Course Description and Audience:
This course is deigned for Engineers, Scientists and Managers who have direct responsibility for designing and implementing closed loop process controls. The course covers the basic concepts of sensor design, selection of alarms, control logic and out of control action plan. Statistical process control charts for variables and attributes and associated limit calculations are also presented.
On-Site Course
Currently Available
To request this course for on-site training, please click here.
Public Course
Currently Available
To view a list of available public courses, click here.
Course Objectives:
As a result of the course the participant will be able to:
1. Understand the language and compute the basic statistics associated with SPC.
2. Apply the ten process control requirements to achieve process control.
3. Determine rational subgroup formation, sample size and frequency.
4. Select appropriate control chart for process control requirements.
5. Compute appropriate control limits.
6. Select the appropriate SPC Charts.
7. Design appropriate OCAPs.
8. Determine process capability.
9. Describe the roles and responsibilities for using SPC.
10. Use the analytical software to analyze process variation patterns, generate SPC charts and determine process capability.
Software:
JMP or Minitab and Excel
Prerequisites:
ESDA is recommended.
Section I
Introduction and Basic Statistics
SPC : A Basis for Control
Basic Statistics
Normal Distribution
Standard Error of the Mean
Central Limit Theorem
Section II
Ten Requirements for Designing Effective Process Control
1. Clear Product Specifications
2. Effective Metrology
3. Process Characterization
4. Sampling Plan
5. Control Chart Selection (Variables and Attributes)
6. Alarms and Out of Control Action Plans (OCAP)
7. Process Documentation
8. Operator and Engineering Training
9. Database
10. Routine Line Audits
Section III
Process Capability
Determining Process Stability Prior to Computation of Capability
Cp and Cpk
Application of Specifications and Yield Estimation
Tests for Normality
Distribution Fitting for Non-Normal Parameters
Sigma and Z as Measures of Process Capability
Pareto Plots and Measures of Process Capability for Attributes
Section IV
Process Control Implementation Roles and Responsibilities
Management
Process Engineer
Process Control Specialist
Supervisor
Operator