Real-Life SIPOC Examples in Manufacturing
Published:What are some real-life SIPOC applications in the field of manufacturing? While Lean Six Sigma tools and methodologies can be applied to any industry, they truly excel when pointed toward something like manufacturing. When you get right down to it, manufacturing is one of the most complex undertakings a business can undergo. What […]
Read moreIs SIPOC Still Relevant? 9 Alternatives
Published:Is SIPOC still worth using? Lean and Six Sigma have many tools for improving or designing new processes. You’ll see SIPOC diagrams often touted, but there are other tools where you might find they are better suited for your needs. Today, we’re looking at a few alternatives that might just fit the bill […]
Read moreQuality Program Report (QPR): Guaranteeing You Hit the Mark
Published:It is important to regularly check if your processes are operating as optimally as they could be. If not, actions should be taken for improvement. For this to be appropriately determined, you can create a QPR.
Read moreHow to Create a SIPOC Diagram: Step-by-Step Guide
Updated:How do you create a SIPOC diagram? Now, I imagine this is a moot point for many LSS practitioners with any degree of experience. However, this might seem somewhat daunting at first glance for newcomers to the methodology. As such, it certainly helps to take a step back and learn some of the […]
Read moreAnalytical Modeling: Turning Complex Data into Simple Solutions
Published:Complex math is often the best way to make sense of a confusing maze of quantifiable variables and conditional relationships.
Read moreStatistical Six Sigma Definition: What It Means for Your Production Line
Published:What does it mean to be “Six Sigma”? Six Sigma at many organizations simply means a measure of quality that strives for near perfection. However, the statistical implications of a Six Sigma program go well beyond the qualitative eradication of customer-perceptible defects. It’s a methodology that is well-rooted in mathematics and statistics. What […]
Read moreWhy SIPOC Diagrams Are Crucial for Lean Six Sigma Projects
Updated:Why should you start a SIPOC diagram at the start of your Lean Six Sigma Projects? Many facets go into planning and executing a project. The last few years have seen the rise of software-centric methodologies like Agile and DevOps, which have become prominent outside of the tech industry. However, SIPOC diagrams remain […]
Read moreMean in Lean Six Sigma: How to Interpret Your Data
Published:Central tendency and mean are two of the more significant statistics that are used in Lean Six Sigma. These two concepts have a large place in the developed world of LSS and are important when it comes to implementing new technologies or measuring processes for improvement.
Read moreSubjective Rating vs. Ranking: Which Is the Better Data Collection Method?
Published:Subjective ratings and rankings can be used in a variety of applications, such as assessing job performance, gauging customer satisfaction, and monitoring the morale of your workforce. Find out more about this Six Sigma term.
Read morePDCA vs. OODA: What’s the Difference?
Published:What Is PDCA? The Plan-Do-Check-Act (PDCA) method is a framework used to achieve continuous improvement in a particular organization or process. It’s also known by several other names, including the Deming wheel, the Shewhart cycle, and the control circle. Even though the method was originally rooted in quality control, it has since been […]
Read moreContinuous vs. Attribute Data: What’s the Difference?
Published:What is Continuous? Continuous data refers to numerical data with any value within a certain range. The values have infinite possibilities, but they all fall within a range. These can be whole numbers or decimals measured using data analysis like skews and line graphs. This kind of data can change over time and […]
Read moreSteps in Constructing an X-Bar and R-Control Chart
Published:Steps in Constructing an X-Bar and R Control Chart: This document contains the step-by-step instructions to construct an X-bar and R control chart. First the R chart is constructed. If the R chart validates that the process variation is in statistical control, the XBAR chart is constructed.
Read moreUnderstanding Customer Needs: The Importance of Quality Targets
Published:Understanding what quality targets are and how to center product uniformity around them is a helpful step in overall process improvement, ultimately leading to increased profits and customer satisfaction rates.
Read moreTolerance Range: Expecting Variation in Your Data
Published:Understanding and determining the upper and lower statistical limits are the key to determining tolerance range (TR). Find out more about this LSS concept.
Read moreSubject 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 moreHow 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 moreKey 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 moreStrengthening 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 moreDiscrete 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 moreMachine 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 moreLinearity 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 moreExploring 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 moreThe 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 morePredetermined 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.
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