Root Cause Analysis Training for Non-Engineers

Root Cause Analysis Training for Non-Engineers


Root Cause Analysis Training for Non-Engineers Course Hands-on

Root cause analysis training for non-engineers discusses the concepts behind root cause analysis methodology. Also this hands-on seminar will teach you the methods and tools involved in root cause analysis. Since this training course is designed for the individuals with no engineering background, the statistical and mathematical methods are developed accordingly. Root cause analysis training for non-engineers focuses on the non-industrial, non-engineering applications of root cause analysis such as health care, lab quality, business process, sales, marketing, etc.

Root cause analysis is the process of defining the problem, identifying the underlying casual factors, collecting data, analyzing the collected data, recommending solutions, selecting the best solution, implementing the solution, and monitoring the effect of the implemented solution on the system to evaluate if it was effective.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Root Cause Analysis Training for Non-EngineersRelated Courses:

Duration: 2-3 days


◾Evaluate the symptoms to identify the real problem
◾Define the problem statement clear and with sufficient detail
◾Apply proper tools to collect data
◾Generate ideas about all potential root causes of the problem
◾Eliminate the root causes logically and based on the collected data until the most important cause is determined
◾Analyze the collected data
◾Generate ideas about possible solutions
◾Express advantages and disadvantages of each solution
◾Select the best solution
◾Implement the solution confidently
◾Follow up on the implemented solution to ensure that’s the right solution
◾Develop an action plan
◾Develop a preventive plan in order to avoid the problems from happening again in future

Course Content:

Overview of Root Cause Analysis
◾Definition of root cause
◾Definition of root cause analysis
◾Some brief background on root cause analysis
◾Purpose of root cause analysis
◾Logic behind root cause analysis
◾Why do we need root cause analysis
◾Non-engineering fields of applications
◾Advantages of root cause analysis
◾Root cause analysis limitations and barriers

First Step: Learning How to Solve the Problem in Action?
◾Define a problem statement, clear with no ambiguity?
◾Identify the right problem?
◾Components of problem identifying
◾Defect Creation
◾Physics of Failure
◾Human Factors
◾Life Cycle Gaps
◾Hidden Failures
◾Why prioritizing matters and how to do it?
◾Methods of problem solving
◾Identifying potential causes
◾Measuring the effect of each cause
◾Discovering the roots of the problem
◾Going proactive
◾Understanding the problems deeply and thoroughly
◾Comprehend the problem
◾Utilizing flowcharts
◾Developing checklists
◾Creating performance matrices

Exploring the Causes, All of Them
◾How to ensure all the causes are considered?
◾How to decide which causes are crucial?
◾Fault tree analysis methods
◾Utilizing the fishbone diagrams to generate causes
◾Brainstorming the causes

Gathering All the Relevant Information and Evaluate Them
◾Methods to gather data
◾Taking advantage of the already existing data
◾Perform samplings
◾How population is different from sampling?
◾Preparing Check sheets
◾Using surveys
◾Problem cause data collection checklist

How to Evaluate the Collected Data?
◾How data analysis works?
◾What are the tools you can use to assess the data?
◾Run charts
◾Pareto diagram
◾Modified scatter diagram
◾Pivot tables
◾Affinity diagrams
◾Relationship diagrams
◾Integrated data analysis tools

How to Deal with the Human-Based Errors?
◾Different analysis of incident/accident
◾Causes and solutions to these errors

More to Do with Data
◾The 3D variables
◾Specifying the major factors
◾Data comparisons approaches

Brief Introduction to Statistics
◾t, F, and ANOVA tests
◾Excel the statistics
◾Chi-square for count data

Management Impact on Root Cause Analysis
◾How phycological biases impact the system?
◾The Workplace environment
◾What are the characteristics of supportive manners and why they matter?

Executing the Chosen Solutions
◾Getting ready to execute the decided solutions
◾Establishing an action plan to execute the changes/modifications
◾Employing tree diagrams
◾Accepting the changes and preparing to implement them
◾Applying force-field analysis

Hands-On Workshop Sample
◾Practice what you learned on an organizational project
◾Define the problem statement/describe the incident
◾Outline the process
◾Identify the right problem
◾Investigate the potential causes by using the tools taught in the class
◾Collect data
◾Use check sheets
◾Create sample surveys or interviews
◾Analyze the data
◾Come up with a list of solutions
◾Select/eliminate solutions until you have a final solution
◾Develop an action plan based on your recommended solution
◾Develop a preventive plan

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Time Frame: 0-3 Months4-12 Months

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