Month: October 2005

I have to admit that I didn’t think that a satellite session with Jack would be all that great, but I was dead wrong. The question and answer format suits his leadership style and seeing him up on two giant screens made the grandeur of Jack all the better. My fellow colleagues Michael Cygerand Dian […]

Use this table to go between and convert Sigma to DPMO to Yield to Cpk.

The Cox-Box is Copyright © 2000-2005 iSixSigma LLC and Gary P. Cox – All Rights ReservedReproduction Without Permission Is Prohibited – Request Permission

This blog entry will highlight some of Jack Welch’s comments from Wednesday, October 26, 2005 on the topic of financial savings through Six Sigma.

Benchmarking results consistently identify examples of Six Sigma success. Even so, getting “naysayers” on board is a continuous challenge. What do you tell them? Nayism 9: Six Sigma won’t work for my department because we really don’t have standard ’processes’ and every client, customer or situation is different. Process thinking is a new way of […]

Roger Cockroft, Corporate VP, Business Performance Improvement, spoke brilliantly about the way Constellation Energy is using Six Sigma to manage change in their organization. Constellation Energy is the oldest utility company in the United States and also one of the largest. Cockroft said that post 911 there were a lot of changes in the organization […]

Roger Hoerl, of GE Global Research, kicked off the conference with a presentation titled, “A fresh approach to integrating Lean and Six Sigma”. His presentation was quite “Lean” at only 12 slides, but the message was clear… The way Lean and Six Sigma have been integrated in the past is based on faulty assumptions and […]

Today was my first full day at the IQPC Lean Six Sigma Summit West, in Las Vegas. I attended as many events as I could and have met some great people in and out of the Six Sigma world. I briefly spoke with Roger Hoerl (still hoping for a more in depth conversation later), joined […]

Benchmarking results consistently identify examples of Six Sigma success. Even so, getting “naysayers” on board is a continuous challenge. What do you tell them? Nayism 8: I know that leadership needs to understand Six Sigma but is learning all these statistics really necessary? We’re not all statisticians nor do we want to be. When leadership […]

Quest Diagnostics are early pioneers of Six Sigma in the healthcare industry, implementing the methodology in May 2000. Since then they have supplemented the program with a healthy dose of Lean and DFSS. Their progress to date is well documented on their website and in annual reports: “Since May 2000, with the launch of the […]

I just received my ASQWire email today. The email includes a summary of what’s going on at the American Society for Quality (ASQ), and is sent to members. One of the stories caught my eye and I thought it had a fascinating title, “Have you calculated your ASQ membership worth?” It encouraged me to visit […]

The Cox-Box is Copyright © 2000-2005 iSixSigma LLC and Gary P. Cox – All Rights ReservedReproduction Without Permission Is Prohibited – Request Permission

Benchmarking results consistently identify examples of Six Sigma success. Even so, getting “naysayers” on board is a continuous challenge. What do you tell them? Nayism 7: Six Sigma looks like repackaged TQM.What makes you think its ‘staying power’ is going to be any different? When people first hear about Six Sigma, some may see it […]

Do You Know One? Do you know a special Black Belt deserving of recognition? Someone who gets outstanding results using their own skills, and at the same time fully involves the people who work with them… a Black Belt who brings talent, integrity and good humor to the workplace? Introduce iSixSigma to a great Black […]

The International Quality and Productivity Center (IQPC) is hosting the Lean Six Sigma Summit West,October 26 – 27, 2005 at the Venetianin Las Vegas, Nevada, USA. I’m looking forward to attending the conference, soaking up the Six Sigma sun, and blogging the events. Jack Welch will be there via satellite and will take questions… so […]

Steps in Constructing a p-Chart: p Charts can be used when the subgroups are not of equal size. This guide shows you the steps involved in constructing a p Chart.

Control Chart Wizard – p-Chart: Control charts dealing with the proportion or fraction of defective product are called p charts (for proportion). There is a difference between a defect and defective, as there is between a nonconformity and nonconforming unit. The p-chart control chart is used with discrete/attribute defective data when the sample size is greater than 50. The sample size may vary.

Steps in Constructing an np-Chart: The np Chart can be used for the special case when the subgroups are of equal size. Then it is not necessary to convert nonconforming counts into the proportions phat(i). Rather, one can directly plot the counts x(i) versus the subgroup number i.

Control Chart Wizard – np-Chart: The np control chart are used to monitor the number of nonconforming units in samples of inspected units. A nonconforming unit is a product which fails to meet at least one specified requirement. There is a difference between a defect and defective, as there is between a nonconformity and nonconforming unit. The np-chart control chart is used with discrete/attribute defective data when the sample size is greater than 50. The sample size must be constant; this control chart is only valid if data is collected in same-size subgroups.

Control Chart Wizard – Discrete Defective Data: How large is your discrete/attribute defective data sample size?

Eli Lilly may be new to using Six Sigma but they put so much research into the methodology before deployment you would have thought it was a new drug. And in fact Six Sigma is the drug to which 200 Black Belts are currently addicted. Once you start up the hellacious hills of hypotheses and […]

Control Chart Wizard – Discrete Defective Data: How large is your discrete/attribute defective data sample size?

Steps in Constructing a u-Chart: The u Chart is used when it is not possible to have an inspection unit of a fixed size (e.g., 12 defects counted in one square foot), rather the number of nonconformities is per inspection unit where the inspection unit may not be exactly one square foot…it may be an intact panel or other object, different in sizethan exactly one square foot. When it is converted into a ratio per square foot, or some other measure, it may be controlled with a u chart. Notice that the number no longer has to be integer as with the c chart.

Control Chart Wizard – u-Chart: Control charts dealing with the number of defects or nonconformities over time are called u charts. There is a difference between a defect and defective, as there is between a nonconformity and nonconforming unit. The u-chart control chart is used with discrete/attribute defect data when the sample size varies.