The Green Belt Six Sigma certification expresses a person’s eligibility to apply the methodologies of Lean Six Sigma to improve businesses. You can gain this status, too, upon passing the SSGB examination.
To start with, we have provided a Green Belt Exam cheat sheet that briefly brushes the concepts that are a part of the course curriculum. You can understand the resources right here and get some useful references on when to utilize them.
From the very basic level, these principles come in handy for timely data collection and thorough analysis. Also, by employing the methods, you, as a project manager, can identify the root cause of disruptions. Thus, completion of the course is proof of proficiency in effective project handling.
So, without further delay, let us get started with the cheat sheet!
gaqmWhat is the Lean Six Sigma Green Belt?
The Lean Six Sigma Green Belt is a professional course that you can pursue to learn the usage of more than 100 techniques and tools relevant to business administration. Participation in this program has been mandated for all candidates who want to involve themselves in DMAIC improvement projects.
From today, you can start gathering competence for managerial success by enrolling in KnowledgeHut’s Six Sigma Green Belt Certification Course. As you progress in this online training program, you start receiving end-to-end support and can attempt five simulation exams. All these will give you the requisite skills to accelerate project qualities for your organization. As far as this article is concerned, we have presented a Green Belt exam cheat sheet for free to help you better understand the aspirants.
Lean Concepts
Getting hold of the lean concepts will help an individual in optimizing resource management. Lean prioritizes process optimization, while Six Sigma is more about identifying loopholes in projects. Eventually, both go hand-in-hand.
These are some crucial terms that you will come across in any Six Sigma Green Belt formula cheat sheet:
VSM essentially suggests calculating the total time spent between each activity within a process. It is represented as a table with multiple parameters like current state, future state, percentage of improvement, and so on.
In simple terms, TAKT time defines the rate of customer demand. By analyzing this metric, an operations team can evaluate how long production cycles should last to satisfy customer demand consistently.
The batch size correlates to the quantity of items recreated in a single batch. Various factors like an organization’s inventory level, overall efficiency, and lead times determine a permissible batch size.
- SMED (Single-Minute Exchange of Die)
SMED basically means a collection of methodologies that help achieve a changeover time of not more than 10 minutes. It has a total of 6 steps - observation, identification, conversion of setups, increasing efficiency, optimizing the startup time, and incorporating external activities.
The theory of constraints is an assumption influenced by multiple measures, such as operating expenses and throughput.
- TPM Total Productive Maintenance
TPM is a method of strategizing on how to minimize machine downtime. Its optimal application allows machine operators to become truly Lean and automate most of the processes.
Sampling
Did you ever come across the term sampling before going through this Green Belt Exam cheat sheet?
It is a core terminology that refers to the techniques of an organization determined to make more informed decisions. You will know about various forms of sampling in the Green Belt course, a brief description of which has been given below:
It is a standardized calculator that uses a set formula: no = {Z^2 pq}/{e^2}.
This formula determines how big a sample lot should be to draw population conclusions at a given confidence level.
When an organization obtains information from a single lot, it is simply referred to as single-lot sampling.
Dual lot sampling involves 2 or more lots. These lots are often accessed for hypothesis testing or to determine the chances of any risks among opinions of different groups.
This method of sampling comes in handy when production doesn’t occur in batches. The product line is directly involved in continuous sampling. At times, you may also recognize this as Skip Lot Sampling.
When your organization decides to treat the population as non-overlapping subgroups, they then select a random group for hypothesis testing. This method is classified as stratified sampling.
Random sampling brings in individuals who are completely chosen by chance. The larger sampling group consists of people who have the same chance of being selected or disqualified for the testing.
MSA
MSA assures us that the underlying measurement policies are reliable and up to date. Its preliminary goal is to quantify the variations pointed out by measurement systems. For this, it uses several tools like Linearity, Bias, gauge R&R, accuracy, etc.
- MSA Measurement System Analysis
In practical applications, MSA is done via tools like JMP and Minitab. These tools are best used to express aspects like repeatability and reproducibility of variations.
It is a discrete branch involving the analysis of attribute data. The formula defines Kappa as a proportion of agreement among raters provided the agreement by chance had been removed.
Generally, when the value of Kappa comes under 7, the management needs to work on the matter.
Data Analysis
Data analysis is among the most vital Six Sigma Green Belt exam cheat sheet elements in terms of baseline issue identification. In Lean Six Sigma, it serves the following purposes:
Under this segment, you will notice two error types - α errors and β errors. They correlate to false positive and false negative market indicators in the backdrop of sample testing.
The Paired t-test is a popular form of Hypothesis testing. Also, there are other forms to determine the exact relationship among every pair of data points.
- Pearson Correlation Co-efficient
It is a statistical co-efficient that helps find the strength of linear dependence between two variables - X and Y. It is an advanced concept that has been thoroughly taught in KnowledgeHut’s Six Sigma Training.
The CLT draws conditions under which the normal distribution of a sufficiently large sum takes place, revealing the random variables. It is a theorem in probability that depends on normal population distribution even when conditions are not normal.
- FMEA Failure Mode and Effects Analysis
It provides a breakdown of areas to focus on for improvement. You can apply this method by analyzing occurrences of errors and the severity of failures.
Process Control
The end goal of process control is to ensure consistent delivery of specifications and standards without compromising project costs and other factors.
- Attribute vs. Variable Data
In the Green Belt exam cheat sheet, attribute or discrete data refers to anything indefinitely divided on a numerical scale. On the other hand, variable data is continuous in nature, like metrics such as temperature, weight, length, and time.
You will learn this as a run chart in Lean Six Sigma that includes statistically based limits. Control charts play a significant role while evaluating variable individual data, variable data of group sizes of more than ten units, and attribute defect data.
- VOC Voice Of the Customer
The Voice of Customer (VOC) helps design value-added processes. In control charts, it is often framed as Upper Spec Limit and Lower Spec Limit.
Control limits are parameters defining the variability of a process.
Process capability incorporates short-term and long-term capability indices. Upon completing the Green Belt Six Sigma certification, you will learn their ideal values.
It outlines the requirements to control the results achieved through gradual process improvements.
Conclusion
You can review this Green Belt exam cheat sheet before exploring the multiple online courses. It will help you relate to the hands-on activities in preparation for the SSGB exam. On-site training options are also available these days. But it disrupts your professional lifestyle, and the cost normally goes above the head.
Additionally, you can join communities and engage in peer discussions to set your profile apart from other candidates. As you already know, Six Sigma training is more of an advanced stage, so pre-preparation is needed to excel and develop the views better.
Finally, when you prepare with mock tests and implement what you study in live projects, you become confident with Lean Six Sigma methodologies.
