7 Basic Problem Solving Tools and Root Cause Analysis (RCA)

Name: 7 Basic Problem Solving Tools and Root Cause Analysis (RCA)
Rating: 4.4 (12 reviews)

7 Quality Control Tools

Created byAryan Viswakarma

Last updated 8/2021

English

What you'll learn

Intro to 7QC and Why to use 7QCTools ?
7QC Vs 7M
6 Problem Solving Steps
Fishbone Diagram or Cause-Effect Diagram
Pareto Chart or Pareto Diagram- A Prioritization Tool and Create 'Pareto Chart' in Excel
Fishbone Case Study and Pareto Chart (Case Study)
What is Weighted Pareto and how to use this?
Graphs and Charts
Scatter Plot and Scatter Plot (Excel-2 case study)
RCA through 5Why with 3 case study and 5 Why for "Occurrence" and "Detection" Level
Intro to 7M Tools and 7M Tree Diagram

Course content

5 sections • 25 lectures • 4h 0m total length

Introduction to 7 Quality Control Tools8:45
Discover seven quality control tools and root cause analysis to identify problems, uncover root causes, and drive practical improvement through data-driven actions across departments.
Difference between 7 QC Tools and 7 Management Tools4:07
Explore the differences between seven quality control tools and seven management tools, highlighting data types, numerical versus verbal data, problem definition, and when analytical versus idea‑driven approaches apply.
Why to use 7QCTools ?3:23
Discover seven quality control tools and how to use them to collect and analyze data, identify root causes, and measure results in manufacturing, service, or transactional processes.
7QC-Deming Chain3:02
Explore the Deming chain and quality tools that drive quality improvement, reduce cost of quality, boost productivity, and strengthen market share through ROI and customer partnerships.
6 Problem Solving Steps3:19
Identify and define the problem, collect process data, and investigate at Gemba; analyze root causes, develop solutions, pilot them, and implement across the value chain, then verify effectiveness.
Application of Problem Solving Tools6:28
Apply seven basic quality control tools to problem solving, mapping steps from problem identification to evaluation, implementation, and process control using cause-and-effect, pareto, histograms, and control charts.

Fishbone Diagram or Cause-Effect Diagram10:56
Explore the fishbone (Ishikawa) cause-and-effect diagram to identify potential problem causes, organize them into the 6 M categories, and support cross-functional brainstorming before root-cause analysis.
Fishbone Diagram 'Case Study7:10
Explore a fishbone diagram case study linking customer response to primary, secondary, and tertiary causes. Form a cross-functional team with process knowledge to identify exhaustive causes and guide diagram construction.
Pareto Chart or Pareto Diagram- A Prioritization Tool11:54
The Pareto chart prioritizes defects by identifying the vital few driving most problems and causes, applying the 80-20 rule to target improvements.
Pareto Chart (Case Study)7:30
Identify and prioritize defects using a Pareto chart to focus on the top contributors, leveraging cumulative frequency and the 80/20 rule to optimize resources.
What is Weighted Pareto and how to use this?8:24
Explore weighted Pareto to prioritize defects by combining frequency with cost or severity. Learn to identify the vital few defects and re-prioritize after corrective actions.
Flow Chart(Case Study)5:59
Explore top-down and linear flowcharts to map processes, using rectangular boxes and connectors, with symbols for delay, storage, transmission, and transportation; apply to training and tests.
Histogram -Data Distribution Tool10:28
Explore the histogram as a data distribution tool to visualize frequency, identify normal or skewed patterns, and assess process capability against specification limits.
Histogram Case Study and Benefits6:00
Explore histogram case study from a manufacturing setting to visualize temperature data, identify distributions, and assess process capability, enabling quick corrective actions and improvements.
Check Sheet (with case study)14:35
Graphs and Charts11:20
Learn to use graphs and charts to visualize data, choose appropriate types such as bar, line, column, stock, and doughnut charts, and present clear, actionable insights to management.
Concentration Diagram with Case 3 Study9:10
Explore the concentration diagram, a defect concentration tool that maps localized defects to identify affected areas and guide analysis in casting, welding, and production data.
Scatter Plot or Scatter Diagram7:41
Understand how scatter plots reveal the relationship between two numerical variables, show trends and strength of association, and support root-cause analysis without proving causation.
Control Chart and its types22:34
Explore control charts, a core tool in seven basic quality control, to assess process stability, predict outcomes, and distinguish special from common causes.
Stratification Tools with Case Studies14:54
Apply stratification to separate data by source and category, revealing patterns and guiding problem solving across manufacturing, health, and social contexts within seven quality control tools.

Create 'Pareto Chart' in Excel18:35
Use Excel to create a Pareto chart that highlights the top defects driving 80 percent of impact, illustrating cumulative frequency and percentage for root cause analysis.
Create X Y 'Scatter Plot' in Excel Sheet9:28
Scatter plot in Excel (Case Study no. 2)13:32
Explore scatter plots in Excel to reveal relationships between two variables, identify positive or negative correlations, and add a line of best fit for case studies like documents vs errors.

Requirements

Be able to read and understand English

Description

What are the 7 Basic Tools of Quality Control?

Companies must be able to monitor, diagnose, and adapt manufacturing processes in order to remain efficient and competitive when producing components or products. 7QC tools are statistical tools that assist individuals, organizations, and companies in resolving product and process quality challenges. Manufacturing procedures must be quantifiable, adjustable, and repeatable if products are to be created consistently to a needed standard.

To meet these requirements, logical, data-driven ways of discovering acceptable solutions, such as the 7QC tools (Seven Basic Tools of Quality Control), can be implemented. 7QC tools are statistical tools that assist individuals, organizations, and companies in resolving product and process quality challenges. They're named basic tools because they're appropriate for folks with minimal formal statistical expertise and can be used to tackle the vast majority of quality-related problems.

Course Objectives

1. Comprehensive Understanding: Provide participants with a thorough understanding of the seven basic tools of quality control, including their purpose, application, and benefits.
2. Tool Proficiency: Equip participants with the necessary knowledge and skills to effectively utilize each of the seven tools in practical quality control scenarios.
3. Practical Application: Enable participants to apply the tools to real-world situations within their organization, empowering them to identify and address quality issues, improve processes, and enhance overall performance.
4. Problem-Solving Skills: Develop participants' problem-solving abilities by teaching them how to analyze data, identify trends and patterns, and make informed decisions using the appropriate quality control tool.
5. Integration and Collaboration: Emphasize the importance of integrating the seven tools of quality control with other quality management techniques and fostering collaboration within cross-functional teams to achieve optimal results.

Prerequisites

There are no prerequisites for this course.

Who Should Attend?

All personnel/team members directly involved in continuous improvement/quality improvement initiatives from both the manufacturing and service (including banking and finance, logistics, healthcare, government, and public service) sectors
All working professionals (apply to all levels and veridical of all industries)
Anybody eager of learning and enhancing his knowledge in this domain
Students

Who this course is for:

Anybody willing to learn Quality Management System
Students
Industry Professionals
Supervisors
Engineers

7 Basic Problem Solving Tools and Root Cause Analysis (RCA)

What you'll learn

Explore related topics

Course content

Section 01: Introduction to Problem Solving Tools6 lectures • 29min

Section 02: Problem Solving Tools14 lectures • 2hr 29min

Root Cause Analysis (RCA)2 lectures • 21min

Section 4: How to use Tools in Microsoft Excel Sheet3 lectures • 42min

Practice Test0

Requirements

Description

Who this course is for: