SS503 Statistical Process Control (SPC)

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Course Description

This course builds on the concepts from SS502-Process Management and Improvement. It takes participants to the next level to enable them to account for differences in the nature of processes in developing the best methods for managing them for control and continual improvement.

Participants will leave with the knowledge and skills to recognize the treatment diverse process situations require to effectively control and manage them. They will learn about means (Xbar) charts for variable data and about P, nP, C and U charts for attribute data and powerful exponentially weighted moving averages (EWMA) charts for both. They will also learn how to conduct studies to assess the capability of a process to meet requirements for attribute data like the number of defects (for manufacturing processes) or errors (for administrative or service processes) and the proportion defective (for manufacturing processes) or acceptable (for administrative or service processes.).

Questions about this course? Please contact CEPE at cepe@pdx.edu or 503.719.7655

Notes

Recommended: SS502- Statistically Sound Process Management and Improvement, or the equivalent knowledge.

A laptop is required for this course.


Applies Towards the Following Certificates




Sections

  SS503 - 007 Statistical Process Control      
  2016-2017 - Spring 2017   Status:  Available
 
Class Schedule: 2 Sessions
Contact Hours: 15.0
Course Fee(s):
Course fee non-credit    889.00
Potential Discount(s):
Early Bird Discount
Referral Discount
  1.5 CEUs
Location:   Center for Executive and Professional Education
In-class:   Tue, Wed 8:00AM - 4:30PM
11 Apr 2017 to 12 Apr 2017
Building: Crown Plaza Building
Room: Ross (100B3)
 
Delivery Options:  In Class
Instructors: Steve Zagarola, Aubrey Kendall
  Section Notes:  

Class dates are April 11 & 12, 2016 from 8:00 am - 4:30 pm.

LAPTOP IS REQUIRED FOR THIS COURSE

Cancellation Policy

The deadline to drop or transfer is at midnight five days before the class start date.