During the training, you will have the opportunity to: Learn or consolidate your knowledge of FMEA (Failure Mode and Effects Analysis), SPC (Statistical Process Control), and MSA (Measurement Systems Analysis). During the training, we will present topics related to: analyzing the types and effects of possible errors, quality management methods using statistical process control in the automotive industry, and a range of tools for verifying and improving measurement systems. A key advantage of our training is that it is delivered by experienced trainers who, in addition to theoretical knowledge, will share their extensive experience in the automotive industry. Furthermore, the workshop format ensures maximum effectiveness and a focused dose of knowledge. We cordially invite you!
Training duration: 3 days (24 hours)
Document confirming: Certificate of participation in the training
The aim of the training is to present a theoretical and practical approach to aspects related to FMEA, SPC and MSA.
- Auditors
- Technologists
- Management staff
- Constructors
- Quality engineers
- Process owners
D-FMEA / P-FMEA
- The origin of the method
- Objectives of the method, organization of the analysis, composition and role of the team
- Comparison of FMEA analysis types
- D-FMEA Input Data [Characteristics, Capabilities, Design]
- P-FMEA Input Data [D-FMEA, Process, Quality Plan, Control Plan]
- FMEA analysis sheet
- Interpretation and selection of Severity, Occurrence, and Detection coefficients
- Risk Priority Number (RPN)
- Supporting tools: Pareto analysis, Ishikawa diagram, 5Why, Brainstorming – when and how to use it
- Initiating corrective and preventive actions - linking to the QMS
- Updating and reviewing FMEA analyses
SPC
- The function and importance of SPC in the QMS
- Variability
- The concept of a stable and out-of-control process
- Statistical description of variability
- Data presentation methods
- Ability: Cp, Cpk, Cm, Cmk, Pp, Ppk
- Perfect quality with the Six Sigma approach
- Control charts as a process monitoring tool
- Interrelationships between SPC, measurement and control equipment supervision (MSA) and failure mode and effect analysis (FMEA)
- Principles of implementing SPC methods
MSA
- measurement system capability:
- causes of variability of measurement results, concept of measurement error and uncertainty
- measurement uncertainty and decision-making in the production process - the effects of measurement errors on quality control and process control
- description of the capabilities of measurement systems - definitions and interpretation:
- incorrect readings (systematic error)
- repeatability and reproducibility (random errors)
- total variability and process variability
- resolution and discrimination
- Capability Indicators: Cg, Cgk, %EV, %AV, %R&R, %PV, ndc
- graphical presentation of R&R analysis results
