Quality Engineering Program ¿Es un entrenamiento? ¿Qué abarca?

Quality Engineering Program es un servicio de asesoría, no es un entrenamiento.

Abarca temas como:

·         Management and Leadership

o   Quality Philosophies and Foundations

o   The Quality Management System (QMS)

§  Strategic planning

§  Deployment techniques

§  Quality information system (QIS)

o   ASQ Code of Ethics for Professional Conduct

o   Leadership Principles and Techniques

o   Facilitation Principles and Techniques

·         Define and describe the facilitator?s role and responsibilities on a team. Define and apply various tools used with teams, including brainstorming, nominal group technique, conflict resolution, force-field analysis, etc. (Analyze)

o   Communication Skills

o   Customer Relations

o   Supplier Management

o   Barriers to Quality Improvement

 

·         The Quality System

o   Elements of the Quality System

o   Documentation of the Quality System

o   Quality Standards and Other Guidelines

o   Quality Audits

§  Types of audits

§  Roles and responsibilities in audits

§  Audit planning and implementation

§  Audit reporting and follow up

o   Cost of Quality (COQ)

o   Quality Training

                                                                                

·         Product and Process Design

o   Classification of Quality Characteristics

o   Design Inputs and Review

o   Technical Drawings and Specifications

o   Design Verification

o   Reliability and Maintainability

§  Predictive and preventive maintenance tools

§  Reliability and maintainability indices

§  Bathtub curve

§  Reliability / Safety / Hazard Assessment Tools

 

·         Product and Process Control

o   Tools

·         Define, identify, and apply product and process control methods such as developing control plans, identifying critical control points, developing and validating work instructions, etc. (Analyze)

o   Material Control

§  Material identification, status, and traceability

§  Material segregation

§  Classification of defects

§  Material review board (MRB)

o   Acceptance Sampling

§  Sampling concepts

§  Sampling standards and plans

§  Sample integrity

o   Measurement and Test

§  Measurement tools

§  Destructive and nondestructive tests

o   Metrology

o   Measurement System Analysis (MSA)

 

·         Continuous Improvement

o   Quality Control Tools

o   Quality Management and Planning Tools

o   Continuous Improvement Techniques

o   Corrective Action

o   Preventive Action

 

·         Quantitative Methods and Tools

o   Collecting and Summarizing Data

§  Types of data

§  Measurement scales

§  Data collection methods

§  Data accuracy

§  Descriptive statistics

§  Graphical methods for depicting relationships

§  Graphical methods for depicting distributions

·         Construct, apply, and interpret diagrams such as normal probability plots, Weibull plots, etc. [Note: Histograms are covered in V.A.] (Analyze)

o   Quantitative Concepts

§  Terminology

§  Drawing statistical conclusions

§  Probability terms and concepts

o   Probability Distributions

§  Continuous distributions

§  Discrete distributions

o   Statistical Decision-Making

§  Point estimates and confidence intervals

§  Hypothesis testing

§  Paired-comparison tests

§  Goodness-of-fit tests

§  Analysis of variance (ANOVA)

§  Contingency tables

o   Relationships Between Variables

§  Linear regression

§  Simple linear correlation

§  Time-series analysis

o   Statistical Process Control (SPC)

§  Objectives and benefits

§  Common and special causes

§  Selection of variable

§  Rational subgrouping

§  Control charts

§  Control chart analysis

§  PRE-control charts

§  Short-run SPC

o   Process and Performance Capability

§  Process capability studies

§  Process performance vs. specifications

§  Process capability indices

§  Process performance indices

o   Design and Analysis of Experiments

§  Terminology

§  Planning and organizing experiments

§  Design principles

§  One-factor experiments

§  Full-factorial experiments

Two-level fractional factorial experiments


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