Root Cause Analysis (RCA), Failure Modes and Effects Analysis (FMEA) and Measurement System Analysis (MSA), are the tools you need to double your salary and take your career to another level. Stay active by learning new skills.
44% of companies want to be able to increase the quality of their employees; Grow your skills so that companies notice you! Skills in analysis tools to improve and optimize the quality of processes are gaining strength when hiring or considering people in higher positions.
What can help you go to the next level? Impress recruiters by adding these analytical skills you can learn from scratch, no matter what industry you work in.
With this package of 3 courses in one for only US$20.00 you will be an expert in improvement processes and have the experience to boost your career. Get certified with us!!!
1. Root Cause Analysis – Harvard Method
Problem Solving through Root Cause Analysis is a step-by-step methodology used in many companies for continuous improvement. This approach consists of not putting a bandage on a problem, but rather solving it permanently, systematically and with creative methods. The root cause is the fundamental, underlying reason for a problem. This course allows you to identify the cause of a problem, solve it, and prevent it from happening again. This saves your organization time, money and resources.
This course will enable participants to understand root cause analysis as a procedure for eliciting and analyzing the causes of problems in an effort to determine what can be done to resolve or prevent them. It consists of theoretical classes, practices and role exercises, designed to provide attendees with an understanding from the most basic to deepening how to analyze a system to identify the causes in the resolution of problems.
These foundational analysis tools are intended to help participants become effective problem-solving analytics by focusing on the following areas:
- Basic principles of Root Cause Analysis:Highlighting why we need root cause analysis, its benefits and why it can be used.
- Data Analysis, Pareto and Stratification:Review of the importance of data and how it focuses on the few vital issues that will really have an impact. This section also focuses on how to effectively use Pareto analysis and stratify the data according to the needs of the process.
- Definition of the problem:With a logical analysis tool to ensure that a problem or topic is analyzed with a complete view of all essential aspects. Definition of a clear statement of the problem from the beginning
- Matrix Is/Is Not:It helps define the scope of problems from the perspective of causality within the problem definition.
- Fishbone analysis:Help participants to visually identify, explore and display in detail the many possible causes of a problem or effect, in order to discover the root cause
- 5 Why's:Another analysis tool to get to the root cause of a problem. Using the technique effectively will define the root cause of non-conformities and subsequently lead to the definition of long-term corrective actions.
- Prioritization and Application of Solutions:Review of a collection of tools and methodologies that help participants implement actions in defining the root cause. Participants are challenged to apply what they have learned to real cases and the objective is to identify business savings or solve a business problem through the completion of this training course.
2. Failure Mode and Effects Analysis (FMEA)
Reduce the risk of costly business errors. FMEA allows you to identify possible failure modes before launching a new product or process design or improving and modifying existing ones.
In this course he shows how to address potential failures within a new or existing process or product to reduce risk and improve quality.
The course demonstrates the basics of FMEA, including its definition, when to use and when not to use it, types of FMEA, basic steps in the process, and how to assemble and facilitate an FMEA exercise.
3. Measurement System Analysis (MSA)
MSA is a method for understanding the variation present in measurement systems. It is now widely used in many industrial sectors, such as automotive, aerospace, renewable energy, and mobile power generation, where a high level of confidence is required to measure product characteristics.
Measurement systems analysis (MSA) connects to measurement data used in almost every manufacturing process. As data quality improves, decision quality improves. This course will help you assess the quality of your measurement systems, providing a foundation for recognizing where improvements can be made. The result is knowledge that can be used to improve your measurement process, in turn improving repeatable product quality.
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