Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Six Sigma- The Measure phase
1 students

Six Sigma- The Measure phase

Start the Measure phase of your Six Sigma journey with utmost confidence and ease.
Created byParag Dadeech
Last updated 2/2022
English

What you'll learn

  • Six Sigma- Measure Phase
  • Operational definition
  • Process mapping techniques
  • Understanding the different types of data and how to execute data collection plan
  • Measurement system analysis
  • Quick grasp of basic statistics and normal distribution
  • Establishing Process base-line
  • Determining process capability (Cp & Cpk)
  • DPMO & Yield in a multi-step process

Explore related topics

Course content

2 sections • 15 lectures • 1h 36m total length

  • Introduction1:18

    Understand the current status of your process through data in the Six Sigma measure phase, collect key measurements, validate the measurement system's accuracy, and establish process capability.

  • what is measure phase and key goals in measure phase3:38

    Establish the process baseline in the measure phase by collecting data, defining operational definitions, mapping the process, and validating measurement systems to determine process capability.

  • operational definition and methods to collect data4:25

    Define operational definitions to ensure reliability and consistency for collection, select primary and secondary metrics such as cycle time and quality, and use sensors, check sheets, control charts, ERP data.

  • Quiz-1
  • Process mapping (SIPOC, flow chart, cross functional flow chart)11:24

    Learn process mapping in six sigma, including sipoc, flow charts, and cross-functional maps, to visualize the as-is process and guide lean improvements.

  • value stream mapping5:15

    Explore value stream mapping to visualize the flow of information and materials from customer orders to delivery, capturing lead time, cycle time, and inventory to reveal waste and improvement opportunities.

  • Understanding different types of data and data collection plan8:58

    Identify quantitative and qualitative data types, including discrete and continuous; distinguish nominal, ordinal, and binary data; explain a data collection plan with operational definitions, roles, sampling, and stratification.

  • Sampling process4:55

    Learn to define the target population and select a representative sample using probability and non-probability methods, including simple random, stratified, cluster, and systematic sampling, in the measure phase.

  • Quiz-2
  • Measurement system analysis11:38

    Explore measurement system analysis to assess data accuracy and precision, distinguishing repeatability and reproducibility, and evaluating bias, stability, and linearity against the true value.

  • Quick grasp of basic statistics10:22

    Explore basic statistics by defining measures of central tendency—mean, median, and mode—and variability—range, interquartile range, mean deviation, variance, and standard deviation for both population and sample data.

  • Quiz-3

Requirements

  • This course is suitable for learners coming from both technical as well as non technical back ground. No prior experience is necessary for this course.

Description

Dear Learners,


Welcome to this course on the "Six Sigma-The Measure Phase". I have prepared lectures covering each of the DMAIC phases of Six Sigma, separately, to enable learners with shorter time to grasp all topics with ease.

This course is covered in "2 sections" & "15 nicely spaced lectures". I am Parag Dadeech, with extensive leadership experience across diversified business sectors. I have lived and worked in the US, SE Asia and India and have led a gamut of high value business projects (green field as well brown field), operational excellence engagements, as well as Technology joint ventures.

Wishing you an enjoyable learning experience.

Section-1 (A solid start to Measure phase):

Lecture-1

Introduction

Lecture-2

• What is Measure phase

• Understanding a Process

• Key Goals in Measure phase

Lecture-3

• Operational definition

• Methods to collect data

Lecture-4

• Understanding process mapping

• Types of process maps

• SIPOC, Flow chart, cross functional flow chart

Lecture-5

• Understanding Value stream mapping

• Practical illustration of VSM

• Benefits of VSM

Lecture-6

• Understanding different types of Data

• How to execute Data collection plan

Lecture-7

• Sample and Population

• Sampling Process

• Different types of sample

Lecture-8

• What is Measurement system analysis (MSA)

• Understanding precision and accuracy

• How much Measurement system error is acceptable

Lecture-9

• Quick grasp of basic statistics

• Understanding measures of central tendency

• Understanding measures of variation


Section-2 (Understanding your process thoroughly):

Lecture-10

• Understanding normal distribution

• What is standard normal distribution

• Concept of Z Value

Lecture-11

• What is Process base line

• Understanding Run charts

Lecture-12

• Process capability

• Understanding Cp (potential process capability)

• Sigma level and ppm

Lecture-13

• Understanding Cpk (actual process capability)

• Practical illustration of Cpk

• Sigma level across different industries

Lecture-14

• Yield (Multi-step process)

• Concept of DPMO

• Practical illustration of DPMO

Lecture-15

• Summary


Wish you an enjoyable learning experience.

Who this course is for:

  • This course will be valuable to learners as well as students coming from variety of back-grounds such as: operations, manufacturing, supply chain, quality, HR or service sectors.

Report abuse