CORE TOOLS MANAGER (40 HRS) English Version
Objetives:
– Understand the statistical tools necessary to record, measure and control manufacturing processes.
– Understand the basics and statistical tools for the analysis of measurement systems.
– Understand the methodology to develop the tools.
Directed to:
– Área Engineers.
– Quality Auditors.
– All the people who participate in the process control.
At the end of the course:
– The participant will get the latest updates on the tools.
– The participant will know techniques and methods to make proper use of the tools.
– The participant will clearly understand the usefulness of each of the tools.
Module 1: PFMEA (Process Failure Mode and Effects Analysis)
It provides the tools for risk analysis in new products or processes, major modifications in processes or specifications, major changes in the location of functional processes.
- Core Tools Introduction.
- PFMEA Concept.
- PFMEA Implementation.
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- Seven steps structure.
- Implementation Case in the enterprise.
Module 2: SPC Statistical Process Control
SPC is simply statistical process control with a well-defined orientation towards processes. It is related to MSA especially in long-term stability studies.
- SPC Introduction.
- Variable control charts.
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- Chart X – R.
- Chart X – S.
- Chart I-MR
- Atribute control charts.
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- Chart p.
- Chart np.
- Chart c.
- Chart u.
- Capability and Process Performance.
Module 3: MSA Measurement Systems Analysis
MSA unifies criteria on the way in which a measurement system is accepted or released, concentrates mainly on the study and control of the variability of the measurement systems and their relationship with the production processes.
- General Guidelines for measurement systems.
- General Concepts for the Evaluation of Measurement Systems.
- Recommended Practices for Replicable Measurement Systems.
- Methods for continuous data measurements
- For non-destructive testing
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- Ranges Method (Cross Measurements)
- Means and Ranges Method (Manual Calculations)
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- Methodsfor measuring discrete attributes or data.
- KappaIndex(Binary Tests)
2. Kendall Index (Multiple features)
- KappaIndex(Binary Tests)
- Methodsfor measuring discrete attributes or data.
Module 4: Control Plan.
Specify the quality controls that apply to any process or set of processes that are intended to produce a product.
- Control Plan function
- Control Plan development.
- Importance.
Module 5: PPAP Production Part Approval Process
The purpose of PPAP is to ensure that all customer engineering records and specifications are clearly understood.
- Approval of production parts.
- Requirements.
- Customer Notifications.
- Emission Levels.
- Emissions Status of parts.
- Record retention.
Module 6: APQP Advanced Product Quality Planning
Advanced product planning is a methodology that must be followed by a manufacturer or supplier to arrive at a finished product. It is very important in complex projects since the methodology greatly facilitates communication between the parties involved, whether they are internal departments of a corporate or customers and suppliers.
- APQP introduction.
- Requirements.
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- Plan and definition of the program.
- Product Design and Development.
- Process Design and Development.
- Product and process validation.
- Feedback Assessment and Corrective Action.
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