Early Bird Fee: $1,395.00
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West Conshohocken, PA
3/17/2020 - 3/19/2020
100 Barr Harbor Drive
West Conshohocken, PA 19428
Number of Attendees
ASTM automatically applies a discount of 10% when participants register 60 days prior to the start of the class.
*After the early bird period expires, registrations are subject to standard pricing.
This course provides detailed methodology on how to set up Statistical Control Charts relevant to test method performance monitoring over time as per ASTM D6299. The course begins with an overview of the importance of data trustworthiness as a key business driver, followed by understanding common cause variation between test results using Statistical Thinking. Precision fundamentals, Industry standard test method precision performance metrics such as repeatability, reproducibility, site precision, and associated business applications will be presented in detail as the first topic, to serve as a foundation upon which the Statistical Control Charts methodology are based on. Bias fundamentals, along with use of Statistical Control Charts and other statistical techniques for assessing and monitoring laboratory bias over time versus industry, will be covered in detail, followed by an overview of relative bias between test methods as the final topic. The course will be conducted in a classroom setting, with hands-on web-based exercises for the set up and maintenance of statistical control charts, using example data from a variety of quality control testing results. Special techniques dealing with quality control material transition, accrual of control chart statistics over time, non-normal data, and inadequate measurement resolution will be covered.
By the end of this course you should be able to:
Registration: 8:00 am-8:30 am on 1st day
Class: 8:30 a.m.-4:30 p.m. on all 3 days
Laptops will be required for the in class activitiesMotivation
Since trustworthy measurement data is a fundamental enabler to all aspects of business improvement, having a fundamental understanding of testing precision, bias (absolute and relative), data quality, how to design and execute control chart work processes to ensure data quality, and the implicit uncertainties associated with measurement data can significantly enhance business process improvement initiatives. Understanding test method performance behavior from control charts can lead to correct decisions as to when to adjust and when not to adjust test methods or process control strategies. Use of control charts to monitor testing performance and apply pre-emptive just-in-time failure-prevention actions can improve laboratory and field operations efficiency, reduce waste, and assure the test data produced are fit-for-use and defensible. Understanding of test method precision and bias enables release of product with confidence at optimal production cost.
In Statistical Control & Control Chart Fundamentals
Finale wrap up
Alex T. Lau is the Chair of ASTM D02.94 Subcommittee on Quality Assurance and Statistics, D02.01.0B on Precision, and Vice Chair of Subcommittee D02.25 on Validation of Process Stream Analyzer Systems. He has 35 years experience in the Petroleum Refining Industry. An ASTM International member since 1990, he is also an active member of Committees E11 on Quality and Statistics. He retired from Imperial Oil, Canada (an ExxonMobil affiliate), and formed his own consulting company (TCL-Consulting). His career focus specialized in gasoline and diesel fuel blending, direct blend to pipeline and ships, on-line process analyzer applications, statistical techniques for quality assurance and process improvement, development and implementation of industry standards.
He is the recipient of the ASTM International Award of Merit, ASTM D02 Scroll of Achievement, and several Awards of Excellence. Lau was cited "for outstanding contributions in Committee D02 on Petroleum Products and Lubricants and Coordinating Subcommittee D02.94 on Quality Assurance and Statistics toward standards development, both as an individual contributor and leader."
He graduated from the University of Toronto with a Bachelor's degree in Applied Science and Engineering Physics. Outside of ASTM International, Lau is a member of the Professional Engineers of Ontario (PEO) and the American Society for Quality (ASQ). He is a registered Professional Engineer in Ontario, Canada, and an ASQ Certified Quality Engineer. He is also the Convener of ISO TC28 / WG2 on Statistics.
Organized in 1898, ASTM is one of the world's largest voluntary standards development organizations. ASTM standards have grown to be among the world's most widely used and accepted documents. The 82-volume Annual Book of ASTM Standards contain 11,000 standards written by 34,000 members on our 140 technical committees. Committee D02 on Petroleum Products, Liquid Fuels, and Lubricants developed the standards used in this course. For more information, contact Alyson Fick at (610) 832-9710 or go to our D02 technical committee page.
For information on this training course, please contact Training or call (610) 832-9695.
Professional Engineers, if your state has a continuing education requirement for license renewal, ASTM training courses should count towards your Continuing Professional Competency (CPC) Professional Development Hour (PDH) requirement.
ASTM can bring this course to your site for groups. Onsite training courses can also be tailored to meet your specific needs. For more information, please contact sales here or call 1-877-909-ASTM.
Learning will be assessed through a series of question and answer sessions.