Quality Management Systems For Semiconductors
Time: 9:00am – 2:15pm (2-day course)
(with break in-between lesson)
Venue: Zoom online class
(link will be sent 3 days before the event starts)
The Semiconductor Industry has seen radical changes over the span of the last few years with the advent of more advanced cars requiring new innovations (e.g. autonomous cars). Hence, there Is a need to build up the symbiotic relationships with the automotive industry, particularly in the areas of quality systems.
Is 99.99% quality sufficient? Let us put things into context.
Possible Outcomes of 99.99% Quality
What is the potential outcome if 99.99% quality metric is a standard?
144 incorrect medical procedures will occur daily.
20,000 incorrect drug prescriptions will be written in the next 12 months.
567 pacemaker operations will be performed incorrectly in a year.
Under the Automotive Core Tools are the building blocks of an effective quality management system. They include
- Advanced Product Quality Planning & Control Plan (APQP),
- Production Part Approval Process (PPAP),
- Failure Mode and Effects Analysis (FMEA),
- Statistical Process Control (SPC),
- Measurement System Analysis (MSA).
The objective is to provide an overview of these Core Tools, particularly the latter 3 components, and introduce other quality tools that are utilized in the semiconductor industry like 8D, PSDM and PCDA.
The course covers the fundamentals of quality systems, and how each component supports the overall architecture of the QMS. It gives a general overview of how to implement these systems in the company
- WHY → A robust and adaptive quality system is required today
- HOW → To implement and develop a quality mindset
- WHAT → Are the QMS available, and which components are needed
Overview of Quality
- An overview of the Core Tools used in the automotive industry.
- What is a QMS? What does it bring to the table?
Components of a Quality Management System
1. Statistical Process Control (SPC)
- Interpretation of the control chart data / types of charts
- How to react to OOC (out of control) and OOS (out of specification) instances reflected on the SPC chart
- How and why limits are established in the SPC charts, under what conditions should these limits be amended
2. Measurement System Analysis (MSA)
- The yardstick that SPC data is based upon
- Understand the requirement/difference of R&R (repeatability / reproducibility) of a measurement
- How to define the Accuracy and Traceability of measurements
3. Failure Mode and Effective Analysis (FMEA)
- Why are FMEAs performed?
- Is there any difference between P-FMEA, D-FMEA and E-FMEA?
- How would the FMEA impact the quality of the product?
- What and how is the SOD applied for the computation of Severity, Occurrence and Detection, and how this is used to develop the correction plan in the FMEA scheme of things?
- How does the new FMEA, differ from the previous versions?
- The new 7-step approach
- The RPN (Risk Priority Number) is replaced with the AP (Action Priority) metric.
4. Application of the 8 Disciples Approach (8D)
- Ways to approach solving problems
- Steps involved in performing an 8D
- What value does the 8D approach provide the end-user?
- Identify the problem, Source for an appropriate solution and Prevent Recurrence of the Problem
- Walk through all the 8 Disciples descriptions
John has over 25 years of experience in the semiconductor manufacturing industry. His experience covers IC and MEMS manufacturing, covering a broad spectrum from photolithography to eutectic bonding, and metrology. He is ACTA certified, presently a free-lance technical trainer, focusing on semiconductor manufacturing, FMEA, SPC and Industry 4.0.
His other interests are in teaching and doing 3D printing and flying drones.
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Organizer reserves the right to cancel the event due to unforeseen circumstances.
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