Module 7: Online Simulator Practice Statistical CAPA Analysis. Control

COMPLETE ENGINEERING MASTERS

CAPA Masters Content: Learn How to Document CAPAs In Regulated Industries

Module 1: Introduction to the CAPA Process (4:15)
Module 2: CAPA Vs NCR Example. What is the difference? NCR Template Review (5:17)
Module 3: Escalating to a CAPA. CAPA Process Flow and Root Cause Analysis. 5 Why's Tool and Ishikawa Diagram (8:16)
Module 4: CAPA Implementation and Effectiveness Phase. Action Timeline Template. (4:42)
Module 5: What Happens if a CAPA Fails? CAPA Review Boards (3:27)
Module 6: Practice Documenting your Own CAPA with our Online Simulator! (8:09)
Module 7: Online Simulator Practice Statistical CAPA Analysis. Control Charts and Scatterplot Graphs for issue analysis. (6:55)
Module 8: Knowledge Check! Review your learning with our online exam! (2:09)
Module 9: Closing Comments and Recommended Future Learning. (1:03)
Module 10: Extra Lesson Practical CAPA Application Moisture Inside Sealed Pouch (19:39)

Minitab Masters Content: They Know Statistics And Minitab

Minitab Basics: All Paths Start Somewhere. Interface, Graphs and Statistics Basics (43:47)
Minitab Hypothesis Tests: How to Prove that we are Right! 1 Sample Z, T, Poisson, ANOVA and Sample Size Calculation (62:41)
Minitab Normality and Ppk: Demonstrating Our Process Is Better than before. Ppk, Data transformation, Non-Normal Data (49:02)
Minitab Regression: Optimizing Our Machines to Eliminate Defects. Creating Process Windows with Linear, Quadratic and Cubic Regression (44:45)
Minitab Gage R&R: Demonstrating why Quality tends to reject good parts and how to fix it! (46:54)
Minitab Design Of Experiments: Learn Why a Senior Engineers Validations are Always Better than yours! (70:11)
Minitab: Control Charts. How to Create them and How to Use them? (35:38)

Validation Masters Content: They Know How To Validate In Regulated Industries IQ OQ PQs

Introduction: Why are Validations so Special? Easy! Only Seniors Know how to do them! (24:12)
Validations: Making the Plan. Learning to Fight. How to create the Validation Plan, Contact KeyStakeholders and Make A timeline (31:04)
Validations: Installation Qualification (IQ). Learning to turn machines on with Style! Create IQ Protocols, Execute them and Create Reports! (31:06)
Validations: Operational Qualification (OQ). Creating a Perfect Process adjusted to company needs! Understanding where the quality line is! (39:23)
Validations: Performance Qualification (PQ). Becoming a Senior Engineer by having a flawless validation. You really should consider asking for a Raise at this Point (25:32)
Practice Time! Complete Step by Step Validation (48:31)

Lean Six Sigma Masters Content: They Know Six Sigma And Lean Manufacturing

Introduction How Does Six Sigma and Lean Manufacturing make someone get paid more? (8:34)
Lean Six Sigma: Define Stage. Why is it so important? (9:09)
Lean Six Sigma: Measure Stage. Hey Where is the Data? (6:06)
Lean Six Sigma: Analyze Stage. Wait isn't this a little to easy? Why do projects take so long? (8:18)
Lean Six Sigma: Improve Stage. Now I see why it takes so long to implement a project (9:17)
Lean Six Sigma: Control Stage. We won, but at what cost? How do we keep this working? (5:28)

Excel Masters Content: They Know How To Use Excel, Sounds Basic Right? You'd be surprised

Excel: Demonstrating Basic Excel Mastery. Conditional Formatting, Mathematical Functions, Counters and eliminating Duplicate Records (34:27)
Excel: Conditional And Logical Formulas, Data Types, Cell Manipulation Techniques and Financial Project management (Compound Interest, ROI and more!) (30:45)
Excel: Text Manipulation and Data Extraction, use of Pareto Charts and Pivot Tables (13:46)

JMP Masters Content: For Companies that use JMP instead of Minitab!

Module 1 - Fundamentals JMP 16 (19:13)
Module 2 - Hypothesis Test JMP 16 (34:28)
Module 3 - Normality Test Distribution Identification and Capacity Cpk Ppk JMP 16 (26:11)
Module 4 - Correlation and Regresion Linear Quadratic and Cubic JMP 16 (16:16)
Module 5 - Validation Measurement Equipment Gage RR Kappa Test JMP 16 (24:43)
Module 6 - Design of Experiments Factorial, Response Surface, Mixture and Screening! (49:28)

Curriculum and Job Search Preparation Content

Quick Guide for Junior Engineer Job Postings
Quick Guide for B Level Engineering Positions
Recommended Minimum Reading

Extra Content - Manufacturing Resources

How to use the 7 basic quality tools? - Guide and Templates in Excel

Injection Molding Course Content

Introduction - Molding Use, Engineering Salaries, Importance. Plastic Types and Machine Types (9:29)
Injection Molding Process. Injection, Pack/Hold, Screw Recovery, Cooling. Component Basics Including Molds, Screws, Machines and Cooling Solutions (8:17)
Scientific Injection Molding Basics. Simulator Use and Excel Workbook. Machine Identification and Plastic Density. (12:43)
Scientific Molding. Cavity Identification, Mold Water Flow Study and Shot Size Calculations with Transfer Position (13:04)
Scientific Molding. Machine Startup, Dry Runs. Melt Temperature Studies, Clamp Tonnage Calculations and Pressure Drop Studies (13:44)
Scientific Molding. Clamp Tonnage Optimization, Mold Balance Study, Back Pressure Optimization and Screw Recovery Delay (10:31)
Scientific Molding. Rheology Curve Study, Pack/Hold Pressure Study for a zero-defect process (8:57)
Scientific Molding. Gate Freeze Study, Optimizing machine parameters with a Design of Experiments (DOE) and Closing Comments (14:42)

Quality Engineer Content: How to Become a Quality Engineer?

Fundamentals: Company Structure, Main Role of Quality Control and Product Classifications Based on Risk (8:53)
Most Common Manufacturing Processes. Injection Molding, Extrusion Molding, RF Welding, Multivac Tray Sealing and Urania Pouch Sealing (11:46)
Quality Departments and Roles. Incoming, Quality Control, Quality System, Complaints, Audits and CAPA Department (14:39)
Basic Product Flow. Raw Material, Subassembly and Finished Good. Product Test Methods. How are Lots Rejected and how to Document a Non-Conformance? (13:23)
Keys for Success Starting Out, Knowledge Check, and Recommended Future Learning Based on The Role (8:39)

Industrial Production Forecast Masters

Introduction: What are Forecasts? What are Actual Values, Fit Values and Accuracy Metrics? (3:24)
When are Forecasts Used? How do Forecasts differ from Regression Analysis? Creating Time Series Plots (3:07)
Creating Forecasts With Minitab for Historical Sales Data and Demand. Analyzing the Model with MAPE and MAD Accuracy Metrics (3:47)
How to Forecast with Minitab using Seasonal Type Data and Winter's Method? Closing Comments (6:33)

Medical Manufacturing for New Engineers ISO13485

ISO13485 Training for Quality Engineers: Introduction and Clause Structure (9:55)
[ISO13485 Training]: Clauses 1 and 2 Scope, Key Terms and Reference Documents (8:21)
[ISO13485 Training]: Clause 3 Definitions you need to know. Lifecycle, Device, Evaluation and Risk (7:09)
[ISO13485 Training]: Clause 4 Quality Management Systems. General Requirements and Documentation (13:32)
[ISO13485 Training]: Clause 5 Management Responsibility, Commitment, Focus, Quality Policy, Quality Objectives and Management Reviews (7:52)
[ISO13485 Training]: Clause 6 Resource Management and Work Environment (2:46)
[ISO13485 Training]: Clause 7 Part 1. Production Planning and Customer Processes (6:34)
[ISO13485 Training]: Clause 7 Part 2. Product Design and Development. Verification, Validation and Interpreting KPO Requirements (13:21)
[ISO13485 Training]: Clause 7 Part 3. Purchasing Controls, Verification of Purchased Products, Sterilization and Product Identification (16:39)
[ISO13485 Training]: Clause 8 Measurement Analysis and Improvement Activities. Understanding Preventive and Corrective Actions (8:14)
[ISO13485 Training]: Interview Recommendations, Common Questions and Closing Comments (7:54)

Warranty and Reliability Analysis with Minitab

Exercise 1: Introduction to Warranty and Reliability Analysis. Tolerance Interval Calculations for Upper and Lower Bound Tolerances (10:55)
Exercise 2: Calculating a Tolerance Interval using Minitab (4:38)
Exercise 3 and 4: Accelerated Aging Studies with Minitab (20:06)
Closing Comments and Recommended Future Learning (4:34)

Statistical Process Control Masters (SPC)

Introduction to Statistical Process Control. What is SPC? (6:35)
SPC Examples 1 and 2 With Minitab. Implementing Xbar-R Control Charts (10:57)
SPC Example 3 With Minitab. Implementing I-MR Control Charts (5:04)
SPC Example 4 With Minitab. Implementing P-Charts for Pass/Fail SPC Operations (8:36)
Clarification SPC Vs Validations, Closing Comments and Recommended Future Learning (6:22)

8D Problem Solving Method [Root Cause Investigation]

Introduction to the 8D Root cause Investigation Method (8:22)
D0 Stage: Identify Symptoms (9:11)
D1 Stage: Define Team Members Roles and Responsibilities (15:43)
D2 Stage: Define the Problem using the 5W/3H Tool (10:02)
D3 Stage: Implement Containment Actions (1:51)
D4 Stage: Root Cause Investigation Using FishBone Diagrams, Engineering Studies and other forms (32:56)
D5 Stage: Implementing Permanent Corrective Actions (PCA) (1:41)
D6 Stage: Demonstrating Effectiveness of Corrective Actions (2:40)
D7 Stage: Implementing Permanent Preventive Actions (3:33)
D8 Stage: Closing your project and Congratulating your team (3:36)

Sampling Plan Masters

1- Course Introduction, Table of Contents and Verified Vs Validated Processes (7:18)
2- Sampling by Attributes and Variables (4:36)
3- Exercise: Variable or Attribute Sampling? (2:44)
4- Attribute Based Sampling with Z1.4 and MIL-STD-105 (9:28)
5- Exercise: How many samples to take following Z1.4? (3:45)
6- Calculating AQL Values using Minitab and Understanding Producer Risk Alpha (10:08)
7- Exercise: Sampling with Minitab using Z1.4 (3:40)
8- Introduction to RQL and Beta: Rejectable Quality Levels (1:55)
9- Exercise: Identifying RQL, AQL, Alpha and Beta Values (1:35)
10- Calculating RQL values of Z1.4 Sampling Plans using Minitab (18:11)
11- Conclusion: Calculating RQL Values of Z1.4 using Minitab (4:14)
12- Exercise: Calculate RQL values of Z1.4 Sampling plans using Minitab (7:34)
13- ANSI Z1.4 Single Based Sampling and Double Based Sampling Plans (7:55)
14- Calculating RQL Values with Minitab for Double Based Sampling Plans (5:49)
15- Exercise: How Many samples for Double Based Sampling Plans? (2:46)
16- ANSI Z1.4 Normal, Tightened and Reduced Inspection Rules (6:38)
17- Analyzing Normal, Tightened and Reduced Inspection Plans with Minitab (5:01)
18- Exercise: How many samples to take for Normal, Tightened and Reduced Inspection Plans? (4:29)
19- Introduction to C=0 Attribute Sampling Plans (11:43)
20- Exercise: Create C=0 Sampling plans that are equivalent to ANSI Z1.4 Plans (2:54)
21- Analyzing the difference between ANSI Z1.4 and C=0 sampling plans. Is one of them better? (7:28)
22- Why Don't all companies use C=0 Sampling plans? (5:26)
23- Exercise: Creating C=0 Sampling plans that are equivalent to ANSI Z1.4 using Minitab (9:13)
24- CRITICAL LESSON: Why you can't just switch from ANSI Z1.4 to C=0 without analyzing the manufacturing line first (5:31)
25- Introduction to Variable Based Sampling Plans using ANSI Z1.9 (14:57)
26- Exercise: How many samples to take for ANSI Z1.9 Variable Sampling? (4:25)
27- ANSI Z1.9 Double Specification Sampling Plans (10:46)
28- Reducing the Number of Samples from ANSI Z1.9 using Minitab (8:20)
29- Exercise: Reducing the Number of Samples from ANSI Z1.9 using Minitab (9:11)
30- Congratulations on Finishing this course. Closing Comments (0:43)

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Module 7: Online Simulator Practice Statistical CAPA Analysis. Control Charts and Scatterplot Graphs for issue analysis.

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