Creating Forecasts With Minitab for Historical Sales Data and Demand.

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)

Teach online with

Creating Forecasts With Minitab for Historical Sales Data and Demand. Analyzing the Model with MAPE and MAD Accuracy Metrics

Lesson content locked

If you're already enrolled, you'll need to login.

Enroll in Course to Unlock