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Subject Matter Expert vs. Consultant: What’s the Difference?
Published:What is a Subject Matter Expert? Subject matter experts (SMEs) are people who have a significant amount of knowledge or experience regarding a specific subject. They can specialize in any kind of academic discipline, profession, or practice. Even though their area of expertise is relatively narrow compared to general consultants, there is still […]
Read more »Homogeneity of Variance and Statistical Inference: What You Need to Know
Published:There are several statistical tests which assume that independent data sets have equal, similar or equivalent variances. Violating this assumption could render any statistical conclusions invalid.
Read more »How Six Sigma Improves Customer Satisfaction
Published:With Six Sigma, customer satisfaction comes first. We’ve talked at length in the past about the various nomenclature, techniques, and so forth that drive Six Sigma. As a comprehensive discipline, it is a transformative means of making your organization the best it can be. However, it is a methodology and approach that takes […]
Read more »Hard and Soft Savings: What Counts Can Be Counted
Published:Six Sigma is all about what can be quantified and measured. So it is not surprising that organizations that utilize Six Sigma often prefer to measure success in terms of hard savings or dollars to the bottom line now. They are subsequently less impressed with soft savings, or the possibility of dollars to […]
Read more »Key Tools for Defect Reduction in Lean Six Sigma Processes
Updated:Lean Six Sigma is a system that measures how well a process operates, with “six sigma” being the level of perfection in which processes operate at or below 3.4 defects per million units produced. In order to achieve this, companies must eliminate all but the most critical process steps and then re-engineer those remaining steps to be more efficient and effective.
Read more »Strengthening Business Health: Lot Tolerance Percent Defective as a Vital Tool
Published:It is important in business to have a sampling system in place to determine when to dump a pack of units dumped due to an unacceptable amount being defective. LTPD is part of this sampling system.
Read more »Visual Controls: Managing Processes With a Glance
Published:When things go wrong in the process, how do you know? And how do you know what to do?
Read more »Leveraging Key Process Input Variables for Success
Published:Complex products and processes can often yield significant variation in output, with resultant poor customer satisfaction, especially when process inputs are not well controlled. By understanding and controlling our key process input variables, we have the perfect approach to keep output variation in check.
Read more »Project ROI: A Key Metric for Project Selection and Resource Allocation
Published:Financial project metrics can be cumbersome to use and jargon-heavy. We demystify and simplify project return on investment, making the concept accessible to all and giving you the confidence to use it in your project management operations.
Read more »See Long and Short-Term Results with a 3-6-12-24 Plan
Published:A major dilemma companies face today is the pressure to deliver short-term improvements and benefits while still contributing to longer-term breakthrough objectives. The 3-6-12-24 planning tool helps practitioners find a way out of this predicament.
Read more »Discrete vs. Continuous Data: What’s the Difference?
Published:When it comes to Six Sigma, data is your lifeblood. The ability to interpret what the data is saying is how you know whether you are on the right path. Further, it shows how you’re achieving your goals and objectives and avoiding roadblocks on your journey toward success. Accurately collected and analyzed data […]
Read more »Tips for Interpreting Discrete Data: Understanding Category Variables
Published:Understanding discrete data will give you yet another tool for understanding your process measure or outcome. This article will explain the tips and traps of using discrete data in process improvement.
Read more »Machine Capability Index: A Tool for Authentication and Verification
Published:If you have a new machine or equipment, you need to be able to determine if it is going to have the potential to make the cut. That is where Cmk comes in.
Read more »Process, Product, and People: The 3P Approach to Quality
Published:Quality management should be a holistic approach. Process, product, and people are the three key elements of a company’s quality system and all of them need to be focused on for an overall improvement in performance. Why It Matters So, why consider this approach for your quality management? While there are many approaches […]
Read more »How the Toyota Production System Can Improve Your Business Processes
Published:The Toyota Production System (TPS) serves as the foundation for Lean Manufacturing. Let’s explore this powerful method for improving your processes. The Toyota Production System (TPS) is a manufacturing philosophy and a set of management practices developed by the Toyota Motor Corporation. It emphasizes continuous improvement, just-in-time production, and efficient use of resources, […]
Read more »The 10 Questions of DMAIC: Process Improvement Done Right
Published:Use these 10 questions when teaching DMAIC. Learn when and where some commonly used Six Sigma tools do – or don’t – apply; align the tools to the underlying question as part of this coaching task.
Read more »How Lean Six Sigma Training Must be Adapted to Incorporate AI
Published:The Need for Adapting LSS Training The traditional LSS approach relies heavily on human expertise for data collection, analysis, and decision-making. While effective, this can be time-consuming, prone to errors, and limited in scope. AI, on the other hand, can process vast amounts of data in real-time, identify patterns that may not be […]
Read more »Deming’s 14 Points: A Blueprint for Achieving Quality and Productivity in Business
Published:Deming’s 14 Points provide a roadmap to transform American Business and increase productivity and competitive position. Without W. Edwards Deming, modern quality improvement might not exist. If you have never heard of Dr. Deming or his 14 Points for Management, welcome aboard. If you have, get ready to reacquaint yourself. What Are Deming’s […]
Read more »Linearity vs. Repeatability: What’s the Difference?
Published:What Is Linearity? Before understanding linearity, we must understand another measurement error known as bias. Bias is a consistent mistake that occurs in measurement. For example, every measure taken with your scale comes out heavier than the actual weight. Linearity measures the consistency of a bias over the entire range of possible measurements. […]
Read more »6 Alternate Frameworks To Quality Management That Work
Published:Quality management is an essential aspect of any business that strives to deliver products and services that meet or exceed customer expectations. The core principles of Quality Management were developed as part of the International Organization for Standardization (ISO) seven principles of quality management. Traditional quality management systems like Total Quality Management (TQM) […]
Read more »The Benefits and Drawbacks of Box-Cox Transformation: What You Need to Know
Published:In many industries, it is possible to find distributed data that does not follow the typical bell-shaped curve. In some instances, you will find that there is a much longer tail on the right side. This type of distribution follows the 80/20 rule, which states that roughly 80% of consequences come from 20% […]
Read more »Design for Six Sigma: Using the IDOV Methodology
Published:Design for Six Sigma (DFSS) can be accomplished using any one of many methodologies. IDOV is one popular methodology for designing products and services to meet Six Sigma standards. IDOV is a four-phase process that consists of Identify, Design, Optimize, and Verify. These four phases parallel the four phases of the traditional Six […]
Read more »Attribute Data: Quantifying the Qualitative
Published:You will often see attribute data and discrete data being used interchangeably. At some level, they are similar. But, if we dive a little deeper, you’ll see that there’s a bit more distinction than meets the eye.
Read more »Process Time: Boosting Efficiency
Published:Process time is the time it takes for one or more inputs to be transformed into a finished product or service by a business process.
Read more »Exploring the Path to Achieving World-Class Quality
Published:Achieving world-class quality isn’t something every organization can do, because so much of what makes it possible cannot be taught. It boils down to mindset and certain character traits that some people have, some people don’t. Do you?
Read more »The Non-Conformance Process: Five Vital Steps to Rectify Issues
Published:The definition of non-conformity is provided and then described with examples of what non-conformities involve, giving examples of the process approach to facilitate the management of the non-conformities.
Read more »Making Sense of the Two-Proportions Test
Published:Consider a production process that produced 10,000 widgets in January and experienced a total of 100 rejected widgets after a quality control inspection (i.e., failure rate = 0.01, success rate = 0.99). A Six Sigma project was deployed to fix this problem and by March the improvement plan was in place. In April, […]
Read more »Predicting Success: A Comprehensive Guide to Trend Analysis Tools
Published:Do you possess a crystal ball to see what the future brings for your organization? Probably not, but you do have a statistical version of a crystal ball by using trend analysis.
Read more »Importance of Test Plans/Test Protocol: Go Into Testing Prepared
Published:Test plans, also called test protocols, are formal documents that typically outline requirements, activities, resources, documentation, and schedules to be completed. Some form of test plan should be developed before any test. The key reasons for developing test plans are: The Importance of a Plan Before embarking on any testing, experimentation, and so […]
Read more »Quality Operating System (QOS): Delivering Constant Quality
Published:With increasing competitive and market pressures, understanding customer requirements and delivering high-quality products, processes and services has never been more important. By implementing a Quality Operating System, you can ensure that quality improvement is every employee’s responsibility and focus.
Read more »Predetermined Motion Time System (PMTS): Maximizing Efficiency and Productivity
Published:A predetermined motion time system can be useful for everything from estimating labor costs to balancing production lines. It is a concept worth exploring for its myriad applications.
Read more »Practical Guide to Creating Better-Looking Process Maps
Published:Process mapping is one of the basic quality or process improvement tools used in Lean Six Sigma. It has acquired more importance in recent times, given the complexities of processes and the need to capture and visualize knowledge that resides with the people who perform the task. Often process mapping is looked at […]
Read more »Big Data vs. Small Data: Which Is Right for Your Business?
Published:Big Data vs. Small Data Big data vs. small data, which should you be paying attention to? Data is generated throughout an organization. You’re gathering it when selling products, producing things, and even just interacting with customers. However, when we start talking about data, the notion of big data and small data enter […]
Read more »Understanding Rejectable Quality Level: Key Concepts and Applications
Published:When it comes to sampling plans, there are some terms that are absolutely crucial to be aware of. These are Acceptable Quality Level (AQL), Indifference Quality Level (IQL), and Rejectable Quality Level (RQL).
Read more »What Is Lean Manufacturing?: Delivering Quality to Your Customers
Published:Lean management – often called “Lean Management,” “The Toyota Way” or simply “Lean” – is a systematic method for waste minimization and process improvement in any type of service or manufacturing
Read more »I-MR Chart: Understanding Your Process Stability
Published:The Individuals-Moving Range (I-MR) Chart is one of the most widely-used control charts in statistics and the standard for most situations where data was collected in individual data points. It allows such a process to be assessed for stability both in terms of central tendency as well as variation.
Read more »NORMSINV: Use Microsoft Excel for Your Analysis
Published:NORMSINV is an Excel function that provides the INVERSE of the cumulative standard normal distribution. Let’s learn how it works.
Read more »SCOT Analysis: Gain Insights for Your Organization
Published:You need to know more about how to know more about your company. Good analytical practices shape your strategic thinking, which determines your entire future.
Read more »Warning Limits: Catch Outliers in Your Production
Published:Lean business operations don’t happen without defining expectations, collecting data and monitoring results. Statistical limits serve your streamlining goals through efficiency quality control and loss prevention.
Read more »Root Cause and Failure Analysis (RCFA): How to Fix Production Issues
Published:In a fiercely competitive market reacting swiftly to product or process failures, determining the true root cause and implementing change limits financial and reputational damage. Utilising root cause and failure analysis methodology is your gold standard for robustly preventing future failures.
Read more »Exploring the Null Hypothesis: Definition and Purpose
Published:The null hypothesis, written as Ho is a subset of the larger topic of Hypothesis Testing. The null hypothesis is a statement about a specific condition of your data and allows you to draw important conclusions about that data.
Read more »Understand the Difference Between Verification and Validation
Published:Many people use the terms verification and validation interchangeably without realizing the difference between the two. Not understanding that difference can lead to many models that do not truly represent a real-world process and lead to errors in forecasting or predicting the outcomes. In this article, we will explore the meaning, importance, differences, […]
Read more »Platykurtic Distribution: Working Beyond Normality
Published:Not all your data will have a normal distribution. Sometimes, the curve is taller or shorter than a theoretical normal distribution. Does that mean you have a problem? We can answer that question by learning a little bit more about kurtosis and the platykurtic distribution.
Read more »Identifying and Managing Special Cause Variations: Dealing with the Unexpected
Published:When it comes to variance, there are two main types to consider. These are common cause and special cause. Common cause variations usually do not pose much of a problem. Special case variations are another story.
Read more »Confidence Bands: An Essential Tool for Statistical Analysis
Published:The concept of a confidence band is usually associated with regression analysis. We will also explain why a confidence band is not the same as a confidence interval.
Read more »Using Voice of the Process to Identify Critical Processes for Improvement
Published:Are you hearing voices? If it’s in a business context, then there is nothing to worry about — and it might even be a good thing. Let’s listen in to the voice of the process and hear what it has to say.
Read more »How Kaizen Events Drive Continuous Improvement
Published:With your business, sometimes a need arises to address an issue swiftly and with all hands on deck. A Kaizen Event is meant for these kinds of times.
Read more »Engineering Change Request (ECR): Preparing for Change
Published:While you hope everything goes smoothly and as planned, sometimes you have to make a change in your existing product or product design. The engineering change request is the form you use to initiate the changes.
Read more »Design Risk Assessment: Minimize Problems Before They Begin
Published:Design risk assessment is a risk assessment framework that identifies, analyzes, and documents risks during a design project. When performing a design risk assessment, the team will assess all risks associated with the project including the design process.
Read more »Multiple Regression Allowed this Company to Save Money by Reducing Employee Turnover
Published:Background Company X (fictional name) is a multi-billion-dollar retail giant, known for offering an expansive range of Do It Yourself (DIY) goods and services. With hundreds of retail outlets scattered across the country, the company’s retail division was the backbone of its operations, responsible for generating a significant portion of its revenue. However, in recent […]
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