Keyword:  in Title
Date Range:  To:
Sort By:        Search QP     Search ASQ.org

Virtual Voices

by Wigent, Dave; Sinn, John W.; Adams, Mike

Social services departments in seven Ohio counties and a university banded together to serve an influx of applicants and improve service by implementing a virtual call center....


Statistics Roundtable: The Quality Practitioner’s Friend

by Borror, Connie M.

On Aug. 28, 2013, the quality and statistics communities lost one of their biggest champions: Lloyd S. Nelson. Nelson was an honorary member of ASQ, the founding editor of the Journal of Quality Technology and wrote the Technical Aids column for JQT....


Choose Wisely

by Sharma, Mohit

How to select the right metrics to ensure process improvement success....


So Many Variables, So Few Observations

by Seaman, Julia E.; Seaman, Christopher A.; Allen, I. Elaine

Colapsing variables in a factor analysis can have dangerous implications, and it also can be difficult to interpret the resulting factors. But what if you have no choice?...


Mood Righting

by Thor, Scott

U.S. organizations face monumental challenges as a global economy has emerged. Arguably, the global economy is driving competitive forces to levels unimaginable only a few decades ago....


Open Access

One Good Idea: Designing for Accuracy

by Navetta, J.L.

For this column, I used regression analysis and design of experiments (DoE) to create a model for predicting production rates in a paper stock cutting facility....


Statistics Roundtable: Gage R&R Reminders

by Hare, Lynne B.

Major characteristic specification limits of a popular brand were 3% and 4%. Product with lower than 3% lacked consumer appeal, and product with greater than 4% had reduced shelf life....


Natural Selection

by Chakravorty, Satya S.

It is mind-boggling to find widely contradictory reports of improvement programs from companies using the same improvement methods. Executives don’t know what to believe. Two similar Six Sigma implementations can have two very different end results....


Open Access

For Starbucks, It's in the Bag

by Johnson, Louis; Burrows, Sarah

When voice-of-the-customer data showed Starbucks Coffee Co. needed to improve the packaging of its one-pound coffee product, it set out to learn the effects of process parameters on the key packaging quality characteristics....


Statistics Roundtable: The Statistical Engineer

by Mason, Robert L., and Young, John C.

Many engineers working in processing industries often are overwhelmed by the amount of data available to them. Until recently, most industries collected only a small amount of information on their processes....


It Doesn't Add Up

by Sloan, M. Daniel

Bewildered economists offer many theories as to what ultimately led to today’s financial woes. Analysts attempt to untangle how so many factors and variables—banks, mortgages and government oversight—contributed to the mess....


3.4 per Million: It’s a Marathon, Not a Sprint

by Conklin, Joseph D.

Six Sigma practitioners like their successes swift, large and final. Nature and circumstance, however, are rarely that kind. Normally, success is secured one step at a time....


Statistics Roundtable: Make Data Matter

by Snee, Ronald D.

Is data analysis an art or a science? Arguments exist for both sides, and many people simply come down in the middle: it’s both....


Talent Show

by Leatherbury, Jon

When an HR team determined it could save its company millions of dollars through stronger retention of customer service (representatives, leadership raised a collective eyebrow and quickly asked HR to make it happen....


Statistics Roundtable: More is Not Always Better

by Anderson-Cook, Christine M.

All other things being equal, if offered a choice between small or large sample sizes, the larger sample size is preferred. Or is it?...


Statistics Roundtable: The Reality of Residual Analysis

by Hoerl, Roger W.

In the world of statistics textbooks, independent random samples of size 30 from a normal distribution are a dime a dozen—the norm rather than the exception....


Map Quest

by Cox, Tracy

Raytheon Six Sigma is a proprietary six-step process that Raytheon Co., a defense and aerospace systems supplier, has embedded into its culture. It was developed by an internal team that was guided by the company’s top leadership....


3.4 per Million: Test Drives and Data Splits

by Conklin, Joseph D.

Prediction models are one of a Six Sigma practitioner’s best friends for improving processes. The more complicated and persistent the quality problem, the more useful prediction models can be....


Statistics Roundtable: Detecting Dependent Observations in Multivariate Statistical Process Control

by Mason, Robert L., Young, John C.

Since we must consider many variables at the same time when monitoring a multivariate process, detection of data dependencies between and among the observation vectors is not straightforward. The test procedures that exist for checking for the...


Quality Glossary

by Nelsen, Dave

Five years after it published its first glossary of quality terms, ASQ has revised that glossary with updated definitions and new entries, many from the lean glossary published in 2005. This reference of terms, acronyms, and prominent figures in the...


Open Access

10 Quality Basics

by Duffy, Grace; Payne, Graeme; Rooney, James; Hare, Lynne; West, John E. "Jack"; Borawski, Paul; Westcott, Russ; Okes, Duke; Guttman, Howard; Foster, S. Thomas; Conklin, Joe

In an overview designed to give quality newcomers a glimpse of the knowledge they need to succeed, ten regular Quality Progress contributors write on 10 basic quality topics that are fundamentals essential to surviving in a quality role. Topics covered...


Open Access

NFL Teams Huddle Up Around Quality

by Edmund, Mark

Football has evolved to become big business, and with the big money comes the pressure for teams to win. Almost every NFL team today employs coaches and personnel dedicated to controlling the quality of actions on the field. NFL head coach Tom Landry is...


3.4 per Million: Assessing the Effectiveness of Controls Under Uncertainty

by Conklin, Joseph D.

Sequential sampling and logistic regression techniques offer useful strategies....


The Science in Six Sigma

by de Mast, Jeroen; Bisgaard, Soren

The structure Six Sigma provides for managing an organization's improvement initiatives is more important than its conformance quality target. It also guides project leaders and offers an array of analysis tools. In addition to Six Sigma's DMAIC...


Market Focused, Value Driven - It's All About Gaps

by Reidenbach, Eric; Goeke, Reginald

Value is a leading indicator of market share and profitability. Six Sigma is a tool organizations can use to increase their value leadership. Because value gaps among competitors are defined by customers of all competing organizations, it is the voice...


Open Access

Employee and Patient Focus Earns the Baldrige

by Funk, Valerie

Bronson Methodist Hospital in Kalamazoo, Michigan has a vision of becoming a national leader in healthcare quality. In the 1990s, it began using the Malcolm Baldrige National Quality Award criteria as a tool for improvement and self-evaluation, and in...


One Size Does Not Fit All

by Foster, S. Thomas Jr.

It has been said that academia has lagged behind practice in the development of quality management methods and philosophies, yet academia has done a good job of propagating these concepts. Now academic research has developed two new concepts that will...


Core Roles in a Strategic Quality System

by Imler, Ken

When establishing and maintaining a strategically viable quality system, senior management defines the roles played by groups, departments, or functions within the organization using risk/benefit analysis to determine the best fit in terms of logistics,...


Advancing From Compliance To Performance

by Bottoroff, Dean L.

Poor ethics has recently been recognized as a controllable factor that can either make or break and organization. If organizations would practice ethics as a logic-based discipline and quality problem, they would reach higher levels of performance that...


Are You Making Decisions in a Fog?

by Snee, Ronald D.

Just as water makes up two thirds of the world's surface, measurement constitutes an enormous part of the scientific method and scientific problem solving....


Open Access

A Quality Library for a Desert Island

by Conklin, Joe

A key skill for any quality professional is knowing where to find the answers to questions. After more than 20 years in the quality business, I find my workday is a healthy mixture of old and new questions....


Lean Six Sigma Reduces Medication Errors

by Esimai, Grace

Medication errors are a serious threat in the healthcare industry. One mid-sized hospital interested in quality management in several areas undertook a Six Sigma project to determine what policy and practice changes might be needed to remedy the...


When Your Process Has Runs, Trends and Cycles

by Conklin, Joseph D.

As a Six Sigma practitioner, you sometimes work with processes that have memory, in which the value observed at some earlier time partly influences or determines the current value....


What's Wrong With Six Sigma?

by Goodman, John; Theuerkauf, Jon

Many organizations experience disappointment with the results of their Six Sigma deployment efforts. This is because they may be applying Six Sigma on too grand a scale, when, in fact, its tools may be used separately or combined with other techniques....


Open Access

Two Hospitals Prescribe Performance Excellence

by Johnson, Kristen

Florida's Baptist Hospital Inc. (BHI) and Saint Luke's Hospital (SLH) in Kansas City, Missouri were recipients of the 2003 Malcolm Baldrige National Quality Award in the healthcare category. In addition to its new mission to provide world-class patient...


Flip the Clip

by Johnson, Kevin L.

In all the discussion and debate about what Six Sigma means, one thing remains clear: Six Sigma is a broad subject. It is daunting for us trainers to try and produce experts called Black Belts (BBs)....


Eight Essential Tools

by Snee, Ronald D.

The broad use of Six Sigma since its introduction in the 1980s has taught us much about how to make the best use of Six Sigma tools. Now we need to take a look back and reflect on what we’ve learned...


Improve Molded Part Quality

by Azeredo, Mauricio Bagueira de Vasconcellos; Silva, Sergio Sodre da; Rekab, Kamel

The injection molding process, while simple in concept, is complex in execution. Typical injection molding machines have many adjustable parameters that affect the quality of finished plastic parts....


Column: Statistics Roundtable: Process modeling: find the critical few

by Snee , Ronald D.

Finding the critical few X's allows you to better control and optimize a process

With the widespread use of Six Sigma has come a renewed interest in developing statistical models and using regression analysis. Now is a good time to rethink your strategies for developing models. In particular, I believe it is...


College and University Programs in Quality

by Johnson, Corinne, Compiler

A list is provided of more than 100 colleges and universities offering courses, programs, and degrees in quality related fields. The list is both alphabetical and geographical and indicates the type of institution and certificates or degrees offered....


Open Access

Quality Glossary


A handy reference is provided of quality terms, acronyms, and key people in the history of quality. Information is derived from a variety of sources and compiled by the editorial staff of the American Society for...


ISO 9001:2000 and Customer Satisfaction

by Vavra, Terry G.

One of the most important changes in ISO 9001:2000 is the inclusion of customer satisfaction data as an indicator of the value of processes adopted by an organization. Three of the most significant improvements are provisions that: Require registrants...


Column: Frontiers of Quality: Bottom-Line Success With Six Sigma

by Breyfogle III, Forrest W.; Meadows, Becki

Define key process output variables and their effects on the cost of poor quality

Companies with profitable Six Sigma strategies are successful because they maintain effective infrastructures for selecting, supporting and executing projects. This article focuses on defining the project key process output variables (KPOVs): given to...


How Well Does Your Reward System Support TQM?

by Allen, Richard S.; Kilmann, Ralph H.

Many organizations' attempts to implement a total quality management (TQM) program fail because they are reluctant to make changes to their reward practices in support of TQM. Traditional reward systems focus on individual performance and do little to...


10 Requirements for Effective Process Control: A Case Study

by Little, Thomas A.

Failure to control the manufacturing process results in product recalls, product loss or rework, and a decrease in customer confidence. Because the management of READ-RITE Corporation, a manufacturer of magnetic heads for computer disk drive, considered...


Six Sigma improves both statistical training and processes.

by Snee, Ronald D.

I refer to the definition of statistical thinking published in Glossary and Tables of Statistical Quality Control: Statistical thinking is a philosophy of learning and action based on the following fundamental principles: All work occurs in a system of i...


Linking Six Sigma with QS-9000

by Munro, Roderick A.

Six Sigma is changing the way the automotive industry approaches quality improvement. Ford Motor Company is the first automaker to use Six Sigma to focus on customer satisfaction, and several other automotive suppliers plan to use the approach as well....


Implementing the Six Sigma Solution

by Blakeslee, Jerome A., Jr.

Six sigma initiatives rely on quantitative, root-cause analyses and the comparison of customer requirements to business performance. Any business can use this method to solve its process problems. To do so, it must have good information about its...


Reliability Improvement Issues and Tools

by Hahn, Gerald J.; Doganaksoy Necip; Meeker, William Q.

Weibull distributions can also represent products with either a decreasing hazard rate ( less than 1) or increasing hazard rate ( greater than 1). When equals 1 the Q U A L I T Y P R O G R E S S I M A Y 1 9 9 9 I 135 Selling Reliability to Upper Manageme...


Small Service Firms Face TQM Implementation Challenges

by Elmuti, Dean S.; Kathawala, Yunus

A survey questionnaire mailed to 1,000 small and medium-sized service firms in the United States plus 20 follow-up interviews examined the status, usefulness, and limitations of total quality management (TQM). Firms with 500 or fewer employees were...


Quality Today: Recognizing the Critical SHIFT

by Silverman, Lori L.; Propst, Annabeth L.

Five inevitable trends in quality exist today and will continue to develop. First, quality goes softer, in that organizations must attend to the emotional, psychological, and social needs of their employees. Only then can teamwork, cross-functional...


Are Your Surveys Only Suitable for Wrapping Fish?

by Miller, Ken

Most surveys are ineffective because they ask the wrong questions; target the wrong people; are given at the wrong time; or do not provide the information needed for improvement. Ineffective surveys ask about factors that the organization assumes are...


The Control Chart Dilemma

by Wise, Stephen; Fair, Douglas

Group target X bar and group range charts are control charts appropriate for statistical process control (SPC) in today's complex manufacturing environment. These charts overcome three shortcomings of traditional SPC methods. These limitations are:...


Make Customer Service Analyses a Little Easier With the PGCV Index

by Hom, Willard C.

The index of potential gain in customer value (PGCV) is an enhancement of importance/performance (IP) analysis. It is especially useful in the public sector. As in other IP methods, data for PGCV are customer ratings of the importance and performance...


Aerospace and Defense Contractors Learn How to Make Their Businesses Soar

by O'Guin, Michael

A strategic benchmarking study of 24 divisions in 17 companies identified characteristics of the most profitable companies. This analysis of the aerospace and defense industry by Price Waterhouse and a team of contractors collected more than 20,000...



Top of page