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Driving Quality Improvement with DPMO: A Roadmap to Process Excellence

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Lean Six Sigma professionals, much like every other professional, love to talk in acronyms. The acronym of the day is DPMO. Let’s check out what it means.

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How to Use Voice of the Customer to Improve Customer Experience

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An organization may hear many voices (Customer, Business, Employee, and Process). It is the voice of the customer (VOC) that is the driving voice. Additionally, it is what should be important to the organization and what the organization should focus on. The satisfaction of the VOC needs to be balanced against the Voice […]

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The Role of the Anderson-Darling Test in Assumption Testing

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Is your data normal? If not, will that be a problem? It might be, since data normality can be important when using certain statistical tools to make your business decisions. 

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Understanding the Concept of Quality

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Quality is one of those words and concepts that have many meanings. Let’s review the concept and discuss the different definitions associated with the term. It refers to the degree of excellence or superiority of something, often concerning its intended purpose or function. Further, it is a measure of how well something meets […]

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Converting DPMO to Sigma Level and Cpk: A Step-by-Step Guide

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How do you convert DPMO to Sigma Level? There are several metrics you can use to measure how well your process is performing. Let’s look at three of them and discuss how to calculate them and how they relate. The three are DPMO, Sigma Level, and Cpk. Convert DPMO/Sigma to Cpk  Before discussing […]

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How to Foster a Culture of Innovation and Agility in Startups

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In today’s fast-paced, technology-driven world, fostering a culture of innovation and agility is essential for startups that want to stay competitive. Startups thrive on innovative ideas, quick pivots, and the ability to adapt to change. This 2014 article raised awareness of Lean Startups. But creating an environment where continuous improvement and creativity flourish […]

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Case Studies: Startups That Scaled Using Lean Methodologies

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Lean Startup methodologies have revolutionized the way modern entrepreneurs approach launching and scaling their businesses. At the core of Lean Startup is the idea of minimizing risk through rapid experimentation, customer feedback, and iterative development. This approach enables startups to efficiently test their business models and products with minimal resources while remaining adaptable […]

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How PDCA Can Help Improve Organizational Efficiency

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Never-ending improvement is the heart of any continuous improvement effort.  The Deming Cycle, or PDCA, is one of the first formalized approaches to utilize an iterative approach to improving processes, and it still serves as a fundamental tool today for continuous improvement.  This article will describe the stages of the Deming Cycle, the […]

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Mastering Gage R&R: Key Steps for a Successful Study

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You want to make good data-driven decisions, but can you trust your data? Is the measurement system you used to gather the data giving you precise and consistent measurements? A Gage R&R study will answer your questions. 

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Navigating Data Analysis: The Importance of Testing for Normality

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Is your data normal? Oh no! Is that a problem? The concept of data normality can be important when using certain statistical tools to make data-driven decisions.

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Pooled Standard Deviation: How Do You Calculate It?

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How do you calculate the overall standard deviation of multiple groups or samples? You can’t just add them up and divide by the number of groups, like you do with averages. Let’s see how we can do it correctly.

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Application of Lean Six Sigma to the EHS Function of an Organization

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Lean Six Sigma (LSS) is a structured approach that combines two powerful process improvement methodologies: Lean, which focuses on eliminating waste, and Six Sigma, which focuses on reducing variation and defects. When applied to the Environmental, Health, and Safety (EHS) function of an organization, Lean Six Sigma provides a robust framework for driving […]

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The Benefits of a Force Field Analysis: Master Changes in Your Processes

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One of the most famous sayings in the Star Wars films is May the Force be with you. This saying may also apply to making changes in your organization. Let’s see what forces you need to identify and deal with when using a force field analysis to manage change.

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The Role of X-Bar in Statistics: Understand the Role It Plays in Your Analysis

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There are three measures of central tendency for data. One is the mean or x-bar, and the others are the median and mode. When you’re diving into statistical analysis, these are basic components. Most practitioners should have encountered these in grade school, but a refresher never hurts. Let’s dive into what it means. […]

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Full Factorial Design: Understanding the Impact of Independent Variables on Outputs

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Full factorial DOE is one of the most powerfully designed experimentation statistical tools for understanding the impact your process inputs have on your process outputs. 

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Pivoting: When and How to Shift Your Startup Strategy

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In the fast-paced world of startups, flexibility is crucial. Entrepreneurs often enter the market with bold ideas, but reality has a way of testing those ambitions. As conditions change, so must the strategies. This adaptability is known as a pivot—a fundamental shift in a startup’s business model, product offering, or market approach. Pivoting […]

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Pugh Matrix: Learn How This Tool Empowers Your Decision-Making Process

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You are often faced with many options on how to improve the process. Which one is the best? The Pugh Matrix is a simple tool for you to decide which approach — or hybrid of approaches — you should use.

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Opposition to Lean Six Sigma

MVP (Minimum Viable Product): From Concept to Reality

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In the world of startups and product development, the Minimum Viable Product (MVP) has become a cornerstone of agile innovation. An MVP is a product with just enough features to attract early adopters and validate a product idea. It allows businesses to test their hypotheses and gather valuable feedback without expending excessive resources. […]

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Standardized Residuals: Insights into Calculations, Interpretations, and Applications

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Residual, standardized residual, studentized residual — what do they mean, and how do I use them? 

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variable vs. attribute data

Tukey’s (1-way ANOVA): See the Difference in Your Data Sets

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ANOVA will tell you whether there is a statistically significant difference in the population means of three or more groups of data. But which means are different? Tukey’s will tell you that. Analysis of Variance (ANOVA) is used to determine whether the population means of several sample data sets are statistically different or […]

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A Comprehensive Guide to Input-Process-Output Models

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Creating and mapping business process models can sound like a daunting task with little tangible value. With input-process-output models, we debunk these myths and introduce a versatile, straightforward methodology that can be used to transform your business.

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Sigma in Statistical Analysis: What You Need to Know

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Sigma is the eighteenth letter of the Greek alphabet and is used as a common notation in statistics as a measure of summation and variation.

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The 8 Wastes of Lean: Understanding and Addressing Them in Your Organization

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Waste is all around your organization. Using TIMWOODS and DOWNTIME, you will learn how to identify the 8 Wastes of Lean and eliminate it to improve your organization.

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Project Sponsor vs. Deployment Champion in Six Sigma: What’s the Difference? 

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What is a Project Sponsor? A Six Sigma project sponsor plays a key role in Six Sigma methodology who provides overall support, guidance, and resources to ensure the success of a Six Sigma project. The project sponsor is typically a high-level executive or manager within the organization who has the authority to allocate resources and […]

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