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DMAIC Cycle 64 horas
Module 1: Overview/Define
A. Overview of Six Sigma
B. DMAIC Methodology Overview
C. Defining Roles and Responsibilities. COPQ
D. Tipos de variaciones. Affinity Diagram
E. Voice of the customer VOC- SIPOC diagram - CTQ tree.
F. Process Map, Cause and Effect Matrix,
G. Translating Customer Needs into Specific Requirements: QFD (Quality Function Deployment), level 1,2 and 3
H. Data management (data subset, stack, unstack data)- Advanced Pareto Chart –
I. Diagrama de Causa y efecto
J. Understanding Lean Manufacturing. History of Lean
K. 8 Waste of Lean
L. Value Stream Mapping Actual state
M. Data measurement plan
Module 2: Measure
A. Basic Statistics and distributions (descriptive statistics). Central tendency.
B. Skewness and Kurtosis (descriptive statistics II), Confidence Interval,
C. Normality
D. Measurement System Analysis: Gage Repeatability and Reproducibility. R&R supervised workshop.
E. Kappa. Kappa in class simulation.
F. Histogram. Precision and Accuracy
G. Process Capability Cp, Cpk, Pp, Pp. Attribute capability
H. Monitoring techniques
I. Lean Accounting: Box Score
J. 5S
Module 3: Analyze
A. Rolled Throughput yield RTY
B. FMEA
C. Scatter Diagram. Scatter matrix plot.
D. Introduction to Hypothesis Testing. Error types 1 o Alpha and 2 o Beta.
Module 4: Improve and Control
A. Value Stream Mapping Future state
B. Charts all types. Rational Sub-grouping
C. Control Developing a Process Control Plan
Descargar Temario detallado del programa aqui.
DMAIC Cycle 64 horas
Module 1: Overview/Define
A. Overview of Six Sigma
B. DMAIC Methodology Overview
C. Defining Roles and Responsibilities. COPQ
D. Tipos de variaciones. Affinity Diagram
E. Voice of the customer VOC- SIPOC diagram - CTQ tree.
F. Process Map, Cause and Effect Matrix,
G. Translating Customer Needs into Specific Requirements: QFD (Quality Function Deployment), level 1,2 and 3
H. Data management (data subset, stack, unstack data)- Advanced Pareto Chart –
I. Diagrama de Causa y efecto
J. Understanding Lean Manufacturing. History of Lean
K. 8 Waste of Lean
L. Value Stream Mapping Actual state
M. Data measurement plan
Module 2: Measure
A. Basic Statistics and distributions (descriptive statistics). Central tendency.
B. Skewness and Kurtosis (descriptive statistics II), Confidence Interval,
C. Normality
D. Measurement System Analysis: Gage Repeatability and Reproducibility. R&R supervised workshop.
E. Kappa. Kappa in class simulation.
F. Histogram. Precision and Accuracy
G. Process Capability Cp, Cpk, Pp, Pp. Attribute capability
H. Monitoring techniques
I. Lean Accounting: Box Score
J. 5S
Module 3: Analyze
A. Rolled Throughput yield RTY
B. FMEA
C. Scatter Diagram. Scatter matrix plot.
D. Introduction to Hypothesis Testing. Error types 1 o Alpha and 2 o Beta.
Module 4: Improve and Control
A. Value Stream Mapping Future state
B. Charts all types. Rational Sub-grouping
C. Control Developing a Process Control Plan
Descargar Temario detallado del programa aqui.
» Six Sigma concepts into Lean 8 Wastes
» Términos estadísticos
» Analítica de riesgo
» Cómo funciona en la práctica los cálculos de un Kanban?
» Statistics Based Kaizen
» 9 key to Productivity Improvement
» What is Lean Six Sigma?
» Sistema de gestión de la calidad: Sobre auditoría de la trazabilidad.
» Tips sobre R&R (Repetibilidad y Reproducibilidad)