Process Capability Expert Course



Last updated 12/2021
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 695.94 MB | Duration: 1h 49m
Hands-on Practice with Normal, Weibull, Binomial Process Capability (Cp, Cpk, Pp, Ppk, Cpm, Z Scores), Box Cox & Johnson


What you’ll learn
Basic Concepts of Process capability – Cp, Cpk, Pp,Ppk, Cpm, Z Scores, USL, LSL
Step by Step Process to conduct study – Analysis in MS-Excel & Minitab
Process Capability Concepts – Normality, Stability, Six Pack Analysis, Long Term Vs Short Term, Observed, Expected, Overall, Within, Z Bench
Data Transformation Techniques – Box-Cox and Johnson Transformation, Hypertuning Lambda
Decisioning which Process Capability Study to perform for all practical challenging situations – Normal, Weibull, Binomial
Lot of Practice Files and Practical Improvement Strategies/Tips
Requirements
Minitab (Trial Access)
Description
The purpose of this course is simply to make you an expert of ‘Process Capability’ in your organization or professional network.Process Capability is a fascinating concept because it links Customer Needs to Process Performance and helps to create futuristic view of process performance that business leaders love. It is also an useful measure to benchmark processes. While developing new process, 6-sigma projects, Statistical Process Control, process monitoring and proving machine capability this concept will be applicable.You will learn practical tips and strategies that go beyond textbook definition of process capability in this course.Two Assignments for your practice and solution keys to checkAll Analysis Practice – Follow the Instructor step by step and do it on yourself Download more than 6 practice dataset filesBasic Concepts covered:Process CapabilityIndices – Cp, Cpk, Cpm, Z ScoresLong term/Short term CapabilityInterpretation & Improvement StrategiesConduct Process Capability StudyStep by Step ProcedurePre-requisites Testing – Normality and StabilityMS-Excel Based CalculationAdvanced ConceptsDecision with skewed data, outliers, non-normal, not able to identify distribution, defects & defectives dataDetailed Minitab based treatmentsTypes of Process CapabilityNormal Process Capability – Observed, OverallWithin/Between Weibull Process CapabilityBinomial Process CapabilityData Transformation Box-Cox TransformationJohnson TransformationLambda Hyper tuningThis course material will be very helpful if you are preparing for ASQ CQE, CQT or CQIA exams
Overview
Section 1: Welcome
Lecture 1 Introduction
Section 2: Basic Concepts of Process Capability
Lecture 2 Process Capability – What & Why
Lecture 3 Step by Step Process to Perform Process Capability Study
Lecture 4 Class Files
Lecture 5 Process Capability Indices – Computing Cp, Cpk and Z Scores in Excel
Lecture 6 Long Term Vs Short Term Process Capability
Lecture 7 How Process Capability Assessment can be Useful
Section 3: Advanced Concepts of Process Capability with Minitab
Lecture 8 How to Selection which Process Capability Study to Perform
Lecture 9 Performing Normal Process Capability in Minitab (1)
Lecture 10 Performing Normal Process Capability in Minitab (2) – Cpm Computation
Lecture 11 Performing Normal Process Capability in Minitab (3) – Six Pack Analysis
Lecture 12 Results of Process Capability in Minitab – Observed, Expected, Overall, Within
Lecture 13 Improvement Strategies Based on Cp, Cpk, Pp, Ppk, Cpm
Section 4: Data Transformation to handle non-normal data
Lecture 14 Transforming Non-Normal Data with Box Cox Transformation
Lecture 15 Hyper parameter tuning of Box-Cox and Johnson Transformation
Lecture 16 How to select between Box-Cox & Johnson Transformation – Practical Dataset
Section 5: Weibull, Binomial & Poisson Process Capability
Lecture 17 Performing Weibull Process Capability & Interpretation of Results
Lecture 18 Performing Binomial Process Capability & Interpreting results
Lecture 19 Performing Poisson Process Capability in Minitab
Process Engineers & Manufacturing Managers,Quality Engineers,Supply Chain Managers,Business Excellence and Process Improvement Professionals across sectors

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