Dirigido a
Gerentes de manufactura, Gerentes de ingeniería, Gerentes de calidad, Ingenieros de proceso, Ingenieros de manufactura, ingenieros de calidad y a toda persona interesada en dominar las herramientas lean six sigma
Para qué te prepara
• Asegurar que el participante domina el uso eficiente de la metodología y herramientas Lean -Sigma, desarrollando al menos 1 proyecto lean sigma en su empresa propiciando el mejoramiento de la calidad, productividad y la generación de sustanciales ahorros para su compañía
Nuestro programa
Módulo I
Define. BB Expectations, DMAIC overview. Validate Business Opportunity, VOC Measures and Indicators, Document Process Overview, Team Charter. Leadership for Six Sigma
Módulo III
Measure, Box plot, Run Charts, Control Charts, Special Cause vs Common cause, SPC Definition and Overview, Handling discrete data, Pareto and Stratification. MSA overview, MSA terms, MSA Variable and statistical properties
Módulo V
Measure. Capability Analysis Overall, Discrete vs Continues data, Discrete DPMO, Variable monitoring process stability, Trend charts, Control Chart, Normality test using Minitab, non normal data, Box Cox transformation, Long term Pp,Ppk. Short term Cp, Cpk, Confidence intervals
Módulo VII
Analyze overview, Cause and Effect matrix, Pareto charts, 5W, SOV partitioning process, SOV positional, part to part, temporal, Crossed and Nested factors, tree diagrams. Red X Methodology
Módulo IX
Improve. Design of experiments, Screening, Optimization, Comparison. DOE terms, traditional approach OFAT, statistical Experimentation, Full and fractional factorial design. Response Surface Methodology
Módulo II
Measure. Introduction to Minitab, Measure Overview, Selecting KPI, Cause and Effect Diagram & Matrix, Measure Management, Operational Definition, Measure Plan, Sampling, Power & Sample size. Understanding Variation, Effects of variation, Assessing variation, Basic Statistics, Charting variation, Normal Distribution
Módulo IV
Measure, Resolution/discrimination, Stability, Linearity, Bias and Precision, MSA GR&R, MSA Metrics, MSA Attribute overview, MSA Fleis Kappa Statistics, MSA Destructive measurements, Crossed vs nested studies
Módulo VI
Analyze. Value Stream Mapping. Key points of Continuous Improvement, Relationship to VSM, Mapping Material &Information Flow, Developing Current, Ideal and Future condition maps, OSA, Takt time, balancing operations to TT. Key points to consider when developing Ideal and Future condition, Kaizen opportunities
Módulo VIII
Improve. Hypothesis testing, HT one to one, one to std, Multiple. Mean and Median comparisons’. HT Variances using Minitab. Correlation and Regression Analysis, simple and multiple
Módulo X
Control. Solution Evaluation. Pilot plans. PFMEA, Control Plan, Quality System Elements, Relations and interactions. SPC Charting.



