Calculations for Process and Product Capability

Speaker

Instructor: Elaine Eisenbeisz
Product ID: 706629

Location
  • Duration: 90 Min
Attendees of this webinar will learn specific concepts and formulas commonly used to measure the ability of a process to produce output within customers’ specification limits. The focus of this webinar is on providing the information needed for attendees to know the appropriate measures and formulas to use for the various types of process data (attribute or variable).
RECORDED TRAINING
Last Recorded Date: Feb-2021

 

$249.00
1 Person Unlimited viewing for 6 month info Recorded Link and Ref. material will be available in My CO Section
(For multiple locations contact Customer Care)

$349.00
1 USB is for usage in one location only. info CD/USB and Ref. material will be shipped within 15 business days
(For multiple locations contact Customer Care)

 

 

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Fax: +1-650-362-2367

Email: [email protected]

Read Frequently Asked Questions

Why Should You Attend:

Companies involved on manufacturing and development perform inspection and testing for acceptance as relates to design, quality, or consumer criteria. These tests and inspections are performed on samples which may be collected at various times in the manufacturing process, including design verification, process validation, or quality control of incoming or outgoing product.

Learn the theory, terminology, regulatory requirements, best practices, and of course, the formulas for calculating process capability indices.

Learning Objectives:

  • Understand the calculations used for different types of data collected in the process
  • Perform calculations with the formulas presented.
  • Terminology used in process capability and testing.
  • Regulatory requirements of processes used in capability/reliability testing.
  • Learn when a transformation of data is needed, and how to transform it.

Areas Covered in the Webinar:

  • Regulatory Requirements
  • Theory and Terminology
  • Process Capability Indices
  • Data Types (Attribute vs. Variable)
  • Evaluate Data for Normality
  • Transforming Data

Who Will Benefit:

  • QA/QC Supervisor
  • Process Engineer
  • Manufacturing Engineer
  • QA/QC Technician
  • Manufacturing Technician
  • R&D Engineer
Instructor Profile:
Elaine Eisenbeisz

Elaine Eisenbeisz
Owner, Omega Statistics

Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California.

Elaine earned her B.S. in Statistics at UC Riverside and received her Master’s Certification in Applied Statistics from Texas A&M.

Elaine is a member in good standing with the American Statistical Association and a member of the Mensa High IQ Society. Omega Statistics holds an A+ rating with the Better Business Bureau.

Elaine has designed the methodology and analyzes data for numerous studies in the clinical, biotech, and health care fields. Elaine has also works as a contract statistician with private researchers and biotech start-ups as well as with larger companies such as Allergan, Nutrisystem and Rio Tinto Minerals. Throughout her tenure as a private practice statistician, she has published work with researchers and colleagues in peer-reviewed journals.

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Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange. Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter. We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email [email protected] call +1-888-717-2436 (Toll Free).

 

 

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