Statistical Process Control (SPC) Bootcamp (Accredited)

Name: Statistical Process Control (SPC) Bootcamp (Accredited)
Rating: 4.6 (702 reviews)

Statistics Basics, Control Charts Using Minitab and Excel, Process Capability, IATF 16949 + Get 7 PMI PDUs/PDCs/CPDs

Highest Rated

Created bySandeep Kumar Quality Gurus Inc.

Last updated 7/2024

English

What you'll learn

Gain a strong foundation in basic statistics concepts, including probability distributions like Normal, Binomial, and Poisson, essential for understanding SPC.
Benefit from a comprehensive 4-in-1 course structure designed to give you a complete understanding of SPC and Process Capability.
Master Statistical Process Control (SPC) techniques, including Control Charts and Process Capability Analysis, using both Excel and Minitab.
Learn to create and interpret the most commonly used Control Charts such as I-MR, Xbar-R, Xbar-S, np, p, c, and u charts, with a detailed explanation.
Explore less commonly used Control Charts, including Pre Control Charts, Short Run Control Charts, Moving Average Control Charts, EWMA, and CUSUM Charts.
Perform Process Capability Analysis by calculating Cp, Cpk, Pp, and Ppk using Excel or Minitab, and understand how to handle non-normal distributions.
Gain practical skills to implement SPC in your organization, improving process stability and performance.
Boost your career prospects by mastering SPC, a critical component of quality assurance and Six Sigma methodologies.

Course content

5 sections • 69 lectures • 7h 2m total length

A1 Section and Course Introduction3:35
Quality Gurus Inc Certificate, Digital Badge, PMI PDUs, SHRM PDCs (Optional)3:06
A2 What is Quality3:22
A3 Understanding a Process5:00
A process is a sequence of actions with inputs and outputs, linked by a feedback loop to improve output. In SPC, use control charts and process capability to manage variation.
A4 Variation Part 13:42
A4 Variation Part 27:19
A6 Process Control vs Process Capability5:53
Download Course Slides0:01
Quiz 1: Basics of SPC

B1 Basics of Statistics Section Intro4:11
B2 Data Types6:35
B3 Central Tendency4:44
Learn how to summarize data using central tendency by computing the mean, median, and mode, and understand how these measures relate to dispersion and histogram peaks.
B4 Measurement of Dispersion6:20
Explore the three measures of dispersion—range, standard deviation, and variance—and how they describe data spread, including population versus sample standard deviation and their role in control charts.
B5 Excel for Data Summary9:26
B6 Standard Deviation Alternate Approaches9:46
Quiz 2: Basic Statistics
B7 Plotting Data7:55
B8 Probability Distributions2:14
Explore probability distributions in SPC: use the normal distribution for continuous data and binomial or Poisson for discrete data in control charts.
B9 Binomial Theory7:27
B10 Binomial Calculations9:17
B11 Poisson Theory8:06
B12 Poisson Calculations6:13
B13 Normal Theory5:26
Understand the normal distribution for continuous data, its symmetry and mean–mode–median equality, and how mean and standard deviation define probabilities within 1–3 standard deviations for SPC control limits.
B14 Normal Tables5:38
B15 Normal Calculations6:13
B16 Central Limit Theorem8:44
B17 Subgroup Size7:43
B18 Types of Errors6:49
Explore type I and type II errors in control charts. Distinguish false alarms from missed process changes and learn how subgroup size influences these errors.
Quiz 3: Probability Distributions

C1 Control Charts Section Introduction2:46
Explore control charts basics, including seven common charts for attribute and variable data, with cusum and ewma, and practice creating control limits in Excel and Minitab.
C2 Control Limit vs Specification Limit6:56
C3 Two Phases of Control Charts4:33
C4 Selecting a Control Chart7:53
C5 np Chart Theory6:40
C6 np Chart Using Excel and Minitab11:09
C7 p Chart Theory3:38
C8 p Chart Using Excel and Minitab10:34
Learn to construct a P chart for proportion defective using Excel and Minitab, calculating P-bar, upper and lower control limits, and applying it to varying subgroup sizes.
C9 c Chart Theory4:15
C10 c Chart Using Excel and Minitab5:10
C11 u Chart Theory3:03
Explore the U chart theory for attributes when subgroup size varies, using proportion defects and U bar, with changing control limits and examples in Excel and Minitab.
C12 u Chart Using Excel and Minitab6:11
C13 Xbar R Chart Theory11:00
C14 Xbar R Chart Using Excel Minitab12:43
C15 Xbar S Chart Theory3:26
Learn the x bar s chart for variable data when subgroups exceed nine, using standard deviation and control limits with A3, B3, and B4, plus plotting in Excel and Minitab.
C16 Xbar S Chart Using Excel Minitab7:15
C17 I MR Chart Theory3:22
C18 I-MR Chart Using Excel Minitab6:29
C19 Nelson Rules Part 12:40
C20 Nelson Rules Part 26:38
C21 Nelson Rules Part 36:06
C22 Pre Control Charts6:43
C23 Short Run Charts Theory7:37
C24 Short Run Charts Using Excel Minitab6:48
C25 EWMA Chart Theory8:13
Discover how EWMA and CUSUM time-weighted control charts detect very small shifts in the process mean using lambda weighting and moving averages.
C26 EWMA Charts Using Excel Minitab8:16
C27 CUSUM Theory3:59
C28 CUSUM Chart Using Excel Minitab6:44
Quiz 4: Control Charts

D1 Process Capability Section Introduction2:59
D2 Control Charts and Process Capability5:43
Explore how control charts assess process stability and capability using I and MR charts, UCL and LCL, and specification limits, with Cp, Cpk, Pp, and Ppk.
D3 Control Charts and Histogram6:03
D4 Process Capability Indices Introduction7:30
D5 Calculate Cp Using Minitab9:24
D6 Sigma Within and Overall6:56
Explore the difference between sigma within and sigma overall, and how Cp, Cpk, Pp, and Ppk relate to short-term versus long-term process capability, using Rbar, D2, and Excel/Minitab.
D7 Calculate Cp Using Excel4:49
D8 The problem with Cp5:54
D9 Calculating Cpk8:20
D10 Process Performance Pp Ppk8:26
Compare Cp, Cpk with Pp, Ppk, showing how long-term standard deviation affects Pp and Ppk through Excel and Minitab demonstrations. Emphasize asking suppliers for Ppk to assess overall process capability.
D11 Checking Normality5:05
D12 Normality Test - Excel and Minitab4:18
D13 Non-Normal Data - Example Part 15:19
D14 Non-Normal Data - Example Part 25:03
Quiz 5: Process Capability Analysis

Requirements

This course is from basics to advanced course. Before teaching Control Charts and Process Capability, in this course you will first learn the basics.
Some basic industrial experience will be helpful to fully appreciate the learnings.

Description

Note: Students who complete this course can apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for it. Quality Gurus Inc. is the Authorized Training Partner (ATP # 6034) of the Project Management Institute (PMI®) and the official Recertification Partner of the Society for Human Resource Management (SHRM®)

The verified certification from Quality Gurus Inc. provides you with 7.0 pre-approved PMI PDUs and 7.0 SHRM PDCs at no additional cost to you.

This course is accredited by The CPD Group (UK). You are eligible to claim 7.0 CPDs for this course (Accreditation# 1016216)

Statistical Process Control (SPC) is one of the core IATF 16949 tools.

To confirm if the process is in statistical control, we use Control Charts.

To check if the process can produce output that meets specifications, we perform Process Capability Studies.

This course covers both aspects of Statistical Process Control (SPC): Control charts and Process Capability Studies.

This is the basics-to-advanced course on Statistical Process Control (SPC).

In fact, this is a 4-in-1 course.

Course 1: Statistics Foundation: To understand Control Charts and Process Capability, you need to have a basic understanding of statistical concepts, including probability distributions. Section B of this covers all that you need to understand SPC better.

Course 2: Control Charts/Process Capability Using Minitab: Minitab is the most advanced tool used by professionals to plot Control Charts and perform the Process Capability Analysis.

Course 3: Control Charts/Process Capability Using Excel: In addition to Minitab, you will understand how to perform all these calculations using Microsoft Excel. Minitab is costly and not everyone might have access to Minitab. Microsoft Excel is widely accessible. In addition, when you perform calculations using Excel, you get a much better understanding of what is happening under the hood.

Course 4: Process Capability Analysis: Control Charts just tell if the process is in control or not. To check whether the process is capable, you need to perform the Process Capability Analysis. This course covers all the calculations using Excel and Minitab.

Who this course is for:

Six Sigma Professionals (Green and Black Belts)
Quality Engineers
Quality Managers
Quality Technicians
Industrial Engineers

Statistical Process Control (SPC) Bootcamp (Accredited)

What you'll learn

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Course content

Section A: Basics of SPC8 lectures • 32min

Section B - Basics of Statistics18 lectures • 2hr 3min

Section C: Control Charts28 lectures • 3hr 1min

Section D: Process Capability Analysis14 lectures • 1hr 26min

BONUS1 lecture • 1min

Requirements

Description

Who this course is for: