Decision Making for Leaders: Leveraging Data

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Ray Harkins, The Manufacturing Academy,Michael J. Vella

3:36:14

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1. Introduction

1. Introduction to the Course.mp4

11:05

2. The Nature of Variation in Decision Making

1. Introducing Variation.mp4

02:48

2. Agenda for the Lesson.mp4

01:00

3. The Nature of Variability.mp4

05:31

4. Sources of Variability.mp4

03:51

5. Identifying Variability.mp4

05:56

6. Control Chart Rules.mp4

04:46

7. Distinguishing Common Cause Variation.mp4

05:12

8. Addressing Common Cause Variation.mp4

05:03

9. Case Study in Variation.mp4

05:39

10. Capability Index.mp4

04:50

11. Visualizing Capability.mp4

02:26

12. Example of Cpk.mp4

05:11

13.1 Cpk calculator.xlsx

13. Cpk Spreadsheet.mp4

02:03

14. Summary and References.mp4

02:06

3. Making Statistically Confirmed Decisions

1. Introduction to Making Statistically Confirmed Decisions.mp4

02:30

2. What to Expect from this Section.mp4

01:20

3. Types of Decisions.mp4

01:16

4. Agenda for this Lesson.mp4

01:01

5. The Nature of Statistical Experiments.mp4

01:19

6. Understanding Hypothesis Testing.mp4

02:02

7. Understanding Designed Experiments.mp4

04:01

8. Sampling and Variation.mp4

03:41

9. More on Hypothesis Testing.mp4

06:03

10. Types of Error.mp4

06:08

11. Testing for Means.mp4

01:12

12. Examples of T Tests.mp4

07:22

13.1 BMI study of male patients for T Test.xlsx

13.2 Shore hardness example of test of hypothesis.xlsx

13. T Test Spreadsheets.mp4

01:40

14. Example of Z-Test.mp4

03:54

15. Testing for Proportions, Pt 1.mp4

02:59

16. Testing for Proportions, Pt 2.mp4

07:22

17. Summarizing Hypothesis Testing.mp4

01:31

18. Introducing ANOVA.mp4

03:41

19. DOE Terms.mp4

02:49

20. One Way ANOVA.mp4

07:34

21. Example of a Two-Way ANOVA.mp4

01:39

22. Full Factorial Experiments and an Alternative.mp4

01:35

23. Fractional Factorial Methods.mp4

02:37

24. Taguchi Terminology.mp4

02:11

25. Case Study, Pt 1.mp4

03:05

26. Case Study, Pt 2.mp4

04:59

27. Case Study, Pt 3.mp4

05:42

28.1 cutter doe example.zip

28. DOE Spreadsheet.mp4

01:36

29. Summarizing Statistically Confirmed Decisions.mp4

00:56

4. The Quality Operating System

1. Introduction to the Quality Operating System.mp4

03:16

2. Overview of Section Objectives.mp4

01:48

3. The Role of Truth in Business.mp4

02:13

4. The Operating Profit Bridge.mp4

02:21

5. Continuous Improvement Pays Off.mp4

01:27

6. What is QOS.mp4

00:53

7. Who is the Best.mp4

02:40

8. The Ten Steps.mp4

05:37

9. Leading and Lagging Indicators.mp4

04:37

10. Plant QOS.mp4

03:01

11. SGA QOS.mp4

02:16

12. Plant QOS Example.mp4

04:25

13. The Paynter Chart.mp4

01:21

14. Additional Examples.mp4

01:04

15. Summary and References.mp4

01:24

5. Conclusion to the Course

1. Conclusion to the Course.mp4

03:26

2. Bonus Lecture.mp4

13:13

Description

Easy-to-Follow Techniques for Extracting Managerial Insights from your Organization's Data

What You'll Learn?

How to use your organization's data to make better decisions
The nature and sources of variation in business data
Common cause versus special cause variation
How to calculate and use a capability index
How to start making statistically confirmed decisions
An overview of Designed Experiments
Types of hypothesis errors
Hypothesis testing steps
T tests and Z tests
One way and two way ANOVA
An overview of Design of Experiments (DOE)
An understanding of leading and lagging indicators
The 10 steps toward building a Quality Operating System (QOS)
QOS examples in manufacturing
Excel-based, downloadable spreadsheets

Who is this for?

Manufacturing managers and supervisors

Quality managers, engineers and technicians

Supply chain managers and analysts

Industrial engineers and manufacturing engineers

What You Need to Know?

Basic understanding of math, manufacturing, and business

A desire to take your decision making skills to the next level

More details

Description
If you are a manufacturing professional looking to advance your data analysis skillset so that you can advance your business career, then this is the class for you!!
In this second course in its series course, "Decision Making for Leaders: Leveraging Data", you will learn beginner and intermediate level skills from 3 important areas of business data analysis:
Understanding and Analyzing Data Variation
Making Statistically Confirmed Decisions
Utilizing Leading and Lagging Indicators to Monitor Business Processes
Each of these sections are "bite sized" lessons that a busy professional can watch in one or two lunch breaks or evenings.
In the first section, Understanding and Analyzing Data Variation, you will learn:
The value of visualizing your data on a time-based run chart
How to calculate control limits as a means of characterizing the normal range of your process
How to use Cpk as a business indicator
In the second section, Making Statistically Confirmed Decisions, you will learn:
How to use intermediate level statistical tools like t tests, z tests and ANOVA to make better business decisions
An overview of Design of Experiments (DOE) as a mean of validating your improvements
An introduction to more advanced DOEÂ concepts like fractional factorial and Taguchi methods
And in the third section, Utilizing Leading and Lagging Indicators to Monitor Business Processes, you will learn:
The value of both leading and lagging indicators in monitoring your business processes
Real life examples of both types of indicators
Connecting leading and lagging indicators for greater business success
In addition to over 3 1/2 hours of high-quality video, this class also offers several downloadable resources including:
The slide deck for each of the three lessons (OVER 200 SLIDESÂ TOTAL)
Several Excel Spreadsheets that were used during these lessons (Excellent for practicing your new skills!!)
If you are going to be successful in business or operations, you must know how to extract useful insights from your organization's data. Complement your managerial and people skills today withÂ "Decision Making for Leaders: Leveraging Data", and take your career to its next level.
See you in class!!
Who this course is for:
Manufacturing managers and supervisors
Quality managers, engineers and technicians
Supply chain managers and analysts
Industrial engineers and manufacturing engineers

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Ray Harkins is a senior manufacturing professional with 30 years experience in manufacturing engineering, quality management, and business analysis. During his career, he has toured hundreds of manufacturing facilities and worked with leading industry professionals throughout North America and Japan. He earned his Bachelor of Science from the University of Akron where he majored in Engineering Technology, his Master of Science from Rochester Institute of Technology where he majored in Manufacturing Leadership and Project Management, and his Master of Business Administration from Youngstown State University. He is a senior member of the American Society of Quality, and holds their Quality Engineering (CQE), Quality Technician (CQT), Quality Auditing (CQA) and Calibration Technician (CCT) certifications. Ray has written extensively for national trade publications on the topics of quality engineering and career management, and has taught over 32,000 students through the Udemy platform on a range of manufacturing-related topics.

Michael J. Vella

Instructor's Courses

Mike Vella has joined the Udemy Instructors team on the Manufacturing Academy site following a 42-year career in Quality and Operations in the Automotive and Food Manufacturing industries. Most recently, Mike retired in 2021 as Senior VP Operations at the Suter Company an employee-owned food producer located in Sycamore, Illinois. Prior to joining Suter, Mike was the Vice President and General Manager of TI Automotive’s Brake and Fuel Group in North America before retiring in 2006. Mike was with TI Automotive for 30 years. Mike received his MBA from Wayne State University and his BS from Western Michigan University.Mike believes that a leader’s legacy is partially formed by sharing what you know they know and what they have experienced to develop others along their own path in life. Mike was a frequent speaker and trainer at TI Automotive and with The Suter Company along with his support of education within the American Society for Quality, Greater Detroit section and the Automotive Division. A Senior Member and Fellow of the ASQ, Mike retains his certification as a Quality Engineer and Reliability Engineer. Mike has been honored as Greater Detroit Section Man of the Year. Mike resides in Aurora, Illinois with his wife Lynne.

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