QUALITY
Who Should Attend This course is intended for personnel developing, qualifying and implementing the essential requirements to establish an acceptable MSA (for variable and attribute features) program for use on aero engine parts and assemblies.
−− Purchaser evaluation and approval −− Execute plan and monitor −− Reaction plan −− Change control • Example plan −− Cast and machined part
Topical Outline DAY ONE • Introduction −− Scope & purpose of the AS13003 Standard
Instructor: Fee: $1415
Dario Yamamoto
1.3 CEUs
URL:
sae.org/learn/content/c1877/
−− Applicability −− Types of data
• Attribute data • Variable data −− Overview of Measurement system analysis (MSA) −− Organization and competence requirements −− Quality System • Measurement system analysis requirements
AS13003 Measurement System Analysis (MSA) Requirements for Aerospace Engine Supplier Quality 2 Days | Classroom Seminar I.D.# C1878 AS 13003:2015 stipulates requirements to establish an acceptable measurement system (for variable and attribute features) for use on aerospace engines parts and assemblies. Measurement Systems Analysis (MSA) is used to evaluate and improve measurement systems in the workplace because it evaluates the test method, measuring instruments, and the process of acquiring measure- ments. The Aerospace Engine Supplier Quality (AESQ) Strategy Group published AS13003 to define the minimum requirements for conducting MSA for variable attribute assessment on character- istics as defined on the drawing specification. This standard also defines the minimum acceptance limits for MSA. This two-day course will provide common requirements for applying appropriate measurements system analysis tools; the acceptance criteria to be applied; as well as a guidance on the efficiency of the application (read across) and mitigation strategies for non-capable measurement systems. This seminar begins with an MSA overview, a review of the requirements and considerations, and it will include case studies. Learning Objectives By attending this seminar, you will be able to: • Identify the key elements of MSA • Explain what may contribute to measurement variation • Define the MSA requirements and applicability • Recognize terminology and concepts including bias, variation, normal distribution, linearity, stability, repeatability and reproducibility • Identify measures of variation (mean, standard deviation and variance)
−− Pre-requisites −− Considerations −− Minimum requirements
• MSA elements
−− Design factors −− Analysis of results −− Mitigation strategies for failed results −− Environmental factors −− Use of red across results in MSA
DAY TWO • MSA process flow
−− MSA process flow −− Appropriate gage selection −− Variation analysis −− Analyze results and take action • Audit checklist for MSA • MSA case studies −− First case study −− Second case study
−− Third case study −− Fourth case study −− Fifth case study
Instructor: Fee: $1415
Dario Yamamoto
1.3 CEUs
URL:
sae.org/learn/content/c1878/
• Explain elements to consider when conducting MSA • Record information on an audit checklist for MSA • Recall information from case studies
97
3 ways to get a no-obligation price quote to deliver a course to your company: Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning | Email us at Corplearn@sae.org
Made with FlippingBook - Online magazine maker