Statistics for Process and Quality Control 2018 Seminar at San Diego

This 2-day seminar includes the steps and techniques used to quantify variability in manufacturing processes, and to assure quality products.

The concepts and information presented will be mainly concerned with statistical quality control: obtaining information (data) that is objective, unbiased, and useful for decision making. An emphasis will be placed on the set-up and use of control charts and acceptance sampling systems and procedures.

Why you should attend:

All processes exhibit intrinsic variation. However, sometimes the variation is excessive and this hinders the ability to achieve reliable measurements and desired results. Statistical process control (SPC) and statistical quality control (SQC) allow us to control the functions of our processes (input) and the quality of our product (output) by providing tangible tools for monitoring and testing.

Process and quality control is important for a company’s reputation. A good system of processing and quality checks reduce costs associated with production waste and re-work due to defects, and allows a company to deliver products that are high in quality. Many industries are also required to have a good quality management system in place to achieve compliance with regulatory authorities.

This seminar will provide attendees with the statistical tools necessary to monitor processes and test the quality of manufactured product. Ms. Eisenbeisz will make use of Minitab software in her presentation.

Areas Covered in the Session:

• FDA QSR, ISO 13485:2016, IS 9001:2015 regulations and harmonization
• Overview of statistical theory and nomenclature for processes and quality control
• Variability and risk assessment in practice
• Control before testing!
• Which chart for which process?
• Setting statistical specifications, control limits, and signals

Who will benefit:

• Quality Assurance (QA) Engineers
• Quality Control (QC) Engineers
• R&D Engineers
• Process Control Personnel
• Manufacturing/Industrial Personnel
• Production Supervisors

Management Personnel of Processing Facilities

Agenda:

Day 1 Schedule

Lecture 1 (90 Mins): It's a System! Elements of Quality Management

• Deming 14 points for total quality management
• Dr. Ishikawa, seven quality control tools (7-QC) and supplementals (7-SUPP)
• Pareto principle (80/20 rule)
• Shewhart (Plan, Do, Study, Act)

Lecture 2 (90 Mins): Regulatory Requirements in Quality Management

• FDA Quality System Regulation (QSR)
• ISO 13485:2016
• IS 9001:2015
• Harmonization of regulations with FDA guidance/regulations

Lecture 3 (90 Mins): Statistical basics

• Check sheets/tally sheets
• Descriptive statistics
• Binomial Distribution (discrete data)
• Hypergeometric Distribution (sampling without replacement)
• Normal Distribution (continuous data)

Lecture 4 (90 Mins): Statistical Basics (cont'd)

• Graphical Techniques:
• Histograms
• Scatterplots
• Pareto charts
• Cause and effect (fishbone) diagrams
• Defect concentration diagrams

Day 2 Schedule

Lecture 1 (90 Mins): Statistical Process Control: The ABC's of Control Charts

• Elements of a control chart
• Control Charts for Discrete Data
• c chart
• u chart
• p chart
• np chart
• Control Charts for Continuous Data
• X-bar chart
• R chart
• I chart
• MR chart
• Combined charts (Xbar-R, I-MR)

Lecture 2 (90 Mins): Statistical Process Control (cont'd)

• More Control Charts
• Classical Shewhart control charts
• Cumulative Sum (CUSUM) charts
• Exponentially Weighted Moving Average (EWMA) charts
• Hotelling (multivariate) control charts

Lecture 3 (90 Mins): Statistical Quality Control - Attribute Sampling Plans

• C= 0 /Zero Acceptance
• Single sample plan
• Double-sampling plan
• Multiple sampling plan
• Sequential sampling plan
• Skip-lot sampling plan

Lecture 4 (90 Mins): Statistical Quality Control - Variables Sampling Plans

• Sampling size and critical distance
• Known vs. unknown standard deviation
• One or two specification limits

Using ANSI Z1.9

Speaker:

Elaine Eisenbeisz

Owner and Principal Statistician, Omega Statistics 

Elaine Eisenbeisz, is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California. Elaine has over 30 years of experience in creating data and information solutions for industries ranging from governmental agencies and corporations, to start-up companies and individual researchers.

Location:  San Diego, CA Date: September 18th & 19th, 2018 and Time: 9:00 AM to 6:00 PM

Venue:  DoubleTree by Hilton San Diego Downtown 1646 Front St, San Diego, CA 92101, USA

Price:

Register now and save $200. (Early Bird)

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

From August 11 to September 16, Regular Price: $1,495.00

Register for 5 attendees Price: $3,885.00 $6,475.00 You Save: $2,590.00 (40%)*

 Register for 10 attendees Price: $7,122.00 $12,950.00 You Save: $5,828.00 (45%)*

Sponsorship Program benefits for seminar

For More Information- https://www.globalcompliancepanel.com/control/sponsorship

Contact us today!

NetZealous LLC DBA GlobalCompliancePanel

john.robinson@globalcompliancepanel.com

Toll free: +1-800-447-9407

Phone: +1-510-584-9661

 Website: http://www.globalcompliancepanel.com

Registration Link - https://www.globalcompliancepanel.com/control/globalseminars/~product_id=901753SEMINAR?seo

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