Decision Making for Leaders Leveraging Data

Easy-to-Follow Techniques for Extracting Managerial Insights from your Organization’s Data
Decision Making for Leaders Leveraging Data
File Size :
1.78 GB
Total length :
3h 36m

Category

Instructor

Ray Harkins, The Manufacturing Academy

Language

Last update

10/2023

Ratings

4.5/5

Decision Making for Leaders Leveraging 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

Decision Making for Leaders Leveraging Data

Requirements

Basic understanding of math, manufacturing, and business
A desire to take your decision making skills to the next level

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 VariationMaking Statistically Confirmed DecisionsUtilizing Leading and Lagging Indicators to Monitor Business ProcessesEach 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 chartHow to calculate control limits as a means of characterizing the normal range of your processHow to use Cpk as a business indicatorIn 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 decisionsAn overview of Design of Experiments (DOE) as a mean of validating your improvementsAn introduction to more advanced DOE concepts like fractional factorial and Taguchi methodsAnd 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 processesReal life examples of both types of indicatorsConnecting leading and lagging indicators for greater business successIn 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 SLIDES 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 with “Decision Making for Leaders: Leveraging Data”, and take your career to its next level.See you in class!!

Overview

Section 1: Introduction

Lecture 1 Introduction to the Course

Section 2: The Nature of Variation in Decision Making

Lecture 2 Introducing Variation

Lecture 3 Agenda for the Lesson

Lecture 4 The Nature of Variability

Lecture 5 Sources of Variability

Lecture 6 Identifying Variability

Lecture 7 Control Chart Rules

Lecture 8 Distinguishing Common Cause Variation

Lecture 9 Addressing Common Cause Variation

Lecture 10 Case Study in Variation

Lecture 11 Capability Index

Lecture 12 Visualizing Capability

Lecture 13 Example of Cpk

Lecture 14 Cpk Spreadsheet

Lecture 15 Summary and References

Section 3: Making Statistically Confirmed Decisions

Lecture 16 Introduction to Making Statistically Confirmed Decisions

Lecture 17 What to Expect from this Section

Lecture 18 Types of Decisions

Lecture 19 Agenda for this Lesson

Lecture 20 The Nature of Statistical Experiments

Lecture 21 Understanding Hypothesis Testing

Lecture 22 Understanding Designed Experiments

Lecture 23 Sampling and Variation

Lecture 24 More on Hypothesis Testing

Lecture 25 Types of Error

Lecture 26 Testing for Means

Lecture 27 Examples of T Tests

Lecture 28 T Test Spreadsheets

Lecture 29 Example of Z-Test

Lecture 30 Testing for Proportions, Pt 1

Lecture 31 Testing for Proportions, Pt 2

Lecture 32 Summarizing Hypothesis Testing

Lecture 33 Introducing ANOVA

Lecture 34 DOE Terms

Lecture 35 One Way ANOVA

Lecture 36 Example of a Two-Way ANOVA

Lecture 37 Full Factorial Experiments and an Alternative

Lecture 38 Fractional Factorial Methods

Lecture 39 Taguchi Terminology

Lecture 40 Case Study, Pt 1

Lecture 41 Case Study, Pt 2

Lecture 42 Case Study, Pt 3

Lecture 43 DOE Spreadsheet

Lecture 44 Summarizing Statistically Confirmed Decisions

Section 4: The Quality Operating System

Lecture 45 Introduction to the Quality Operating System

Lecture 46 Overview of Section Objectives

Lecture 47 The Role of Truth in Business

Lecture 48 The Operating Profit Bridge

Lecture 49 Continuous Improvement Pays Off

Lecture 50 What is QOS?

Lecture 51 Who is the Best

Lecture 52 The Ten Steps

Lecture 53 Leading and Lagging Indicators

Lecture 54 Plant QOS

Lecture 55 SGA QOS

Lecture 56 Plant QOS Example

Lecture 57 The Paynter Chart

Lecture 58 Additional Examples

Lecture 59 Summary and References

Section 5: Conclusion to the Course

Lecture 60 Conclusion to the Course

Lecture 61 Bonus Lecture

Manufacturing managers and supervisors,Quality managers, engineers and technicians,Supply chain managers and analysts,Industrial engineers and manufacturing engineers

Course Information:

Udemy | English | 3h 36m | 1.78 GB
Created by: Ray Harkins, The Manufacturing Academy

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