Duration
2 days
Day 1: Statistical Quality Analysis (Manufacturing)
Develop the necessary skills to successfully evaluate and certify manufacturing and engineering measurement systems. Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control manufacturing processes. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes. Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.
Tools Covered Include: Gage R&R, Destructive Testing, Gage Linearity and Bias, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal and Attribute data
Prerequisite: Minitab Essentials (Level 1 training)
Title
Objectives
Gage Studies for
Determine the adequacy of measurement systems.
Continuous Data
Calculate statistics to assess the linearity and bias of a measurement system.
Attribute
Assess the consistency of ratings within each appraiser and between different
Agreement
appraisers.
Analysis
Assess the correctness of appraiser responses by comparing the responses to a
known standard.
Calculate statistics to assess agreement between appraisers
Calculate statistics to evaluate the association between appraiser assessments.
Control Charts:
Monitor Process using X bar, R, S, and I-MR charts.
Continuous Data
Determine whether variability has a special cause.
Control Charts:
Choose the appropriate control chart to analyze attributes data
Attributes Data
Monitor process control using P charts, U charts, and C charts.
Determine when a special cause of variability has occurred
Capability
Understand the assumptions of process capability
Analysis:
Analyze the capability of a stable process.
Continuous Data
Identify an appropriate distribution for data that are not normally distribution.
Analyze the capability of a process using a nonnormal distribution.
Analyze the capability of a process using Box-Cox and Johnson transformations.
Capability
Understand binomial and Poisson capability analyses
Analysis:
Assess the capability of a process when the data follow a binomial distribution
Attributes Data
Assess the capability of a process when the data follow a Poisson distribution
Day 2: Additional Topics in Statistical Quality Analysis (Manufacturing)
Continue to build on the fundamental concepts taught in the Manufacturing Statistical Quality Analysis course by learning additional tools that help to improve and control your processes. Develop the necessary skills to successfully evaluate and certify manufacturing and engineering measurement systems with multiple gages or locations on a part. Learn how to evaluate a random sample of product from a lot to determine whether to accept or reject the entire lot. Expand your knowledge of control charting to handle rare events and time weighted data. Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.
Topics covered in the training material include: Gage R&R Expanded, Orthogonal Regression, Tolerance Intervals Acceptance Sampling, Between-Within Analysis, Control Charts including EWMA, Short-Run, and Rare Events
Prerequisite: Minitab Essentials (Level 1 training), Statistical Quality Analysis (day 1)
Title
Objectives
Gage R&R
Determine the adequacy of measurement systems.
Expanded
Orthogonal
Understand the difference between ordinary least squares regression and
Regression
orthogonal regression.
Analyze a predictor and a response using orthogonal regression when both X and
Y contain measurement error.
Attribute
Assess the consistency of ratings within each appraiser and between different
Agreement
appraisers.
Analysis
Assess the consistency of appraiser responses by comparing the responses to a
known standard.
Short-Run
Monitor short-run processes with a Z-MR chart.
Control Charts
Rare Event Charts
Monitor the stability of a rare event with G charts.
Monitor the stability of a rare event with T charts.
EWMA
Monitor small shifts in the process mean with an EWMA chart.
Between/Within
Monitor within-subgroup and between-subgroup variation with an I-MR-R/S
Analyses
chart.
Analyze the capability of a process using Capability Analysis – Between/Within.
Capability
Understand the difference between Capability Snapshot and a full capability
Snapshot
analysis.
Analyze the capability of a limited data set.
Tolerance
Learn the difference between confidence intervals, prediction intervals, and
Intervals
tolerance intervals.
Create a tolerance interval.
Acceptance
Create and compare acceptance sampling plans for attribute data.
Sampling
Create and compare acceptance sampling plans for variable data.
Accept or reject lots based on variable inspection data.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.