Ken Feldman

Your business is at war with waste, defects, and inefficiencies. Let’s attack and defeat your enemy with a lightning-quick attack using overwhelming forces. In other words, a Kaizen Blitzkrieg, or Blitz for short.

We have all heard the phrase “garbage in, garbage out.” AOQ is defined as the expected average quality level of an outgoing product for a given the value of incoming product quality. 

Fishbone diagrams are used to drill down to the root cause of a problem. The diagram looks like the bones of a fish, where each main bone represents a possible category of root cause, and subsequent drilling down is shown as smaller and smaller bones.

Waste is all around your organization. Using the acronym TIMWOOD, you will learn how to identify the 7 wastes of lean and eliminate them to improve your organization.

When you have multiple factors at different levels, it can be challenging to figure out which is the optimal combination. Design of Experiments is one common method you can use. The Taguchi Method is another.

6W? 5W1H? 5W? The bigger question is, how do you make sure you’re asking the right questions to guarantee you properly solve your problem or execute your project?

Do you hear voices? In a business context, that’s normal. Let’s listen in to the voice of the business and hear what it has to say.

The word Normal generally has a positive connotation. When applied to statistics, the term Normal Distribution has essentially the same effect. Let’s see why. 

Cp is one of the metrics calculated for determining whether your process is capable of meeting customer specifications or requirements. It is useful in comparing different functions and their ability to meet their unique specifications.

Do you feel that implementing change in your organization is going too slowly? So did Jack Welch of GE, which is why GE developed the Change Acceleration Process (CAP). Let’s explore how the concepts of CAP might help your organization.

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from quantitative data. But what is a statistic? Let’s find out. The word statistic is a word with numerous possible definitions. In its simplest form, a statistic can be defined as a descriptor of a set of […]

Does your data from yesterday represent the current state of your process better than that from a month ago? How can you place more emphasis on it yet still make use of older data? That’s what the Exponentially Weighted Moving Average does. 

House of Quality? No, this is often referred to as a House of Pain because of the effort needed to complete one. Let’s see if we are just being overly pessimistic. 

Six Sigma at many organizations simply means a measure of quality that strives for near perfection. Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects (driving toward six standard deviations between the mean and the nearest specification limit) in any process — from manufacturing to transactional and from product to service.

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.

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 […]

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. 

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 […]

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 […]

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 […]

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 […]

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 […]

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. 

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.