Center for Quality and Productivity Improvement (CQPI)
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It is widely recognized that quality is fundamental to achieving long-term success. A renewed focus on customers and processes sets the stage for continuous improvement for industry, government, educational institutions, healthcare, and businesses. All have benefited from higher quality and productivity as well as reduced time and cost to develop, produce, deliver products and services, and improve safety. Data-based total quality methods are the catalyst to help people achieve these benefits.
To rise to the challenge of the international quality revolution,the Center for Quality and Productivity Improvement (CQPI) was founded in October of 1985 by Professor George E.P. Box and the late Professor William G. Hunter.
Since its inception, CQPI has been at the forefront in the development of new techniques for improving the quality of products and processes. Today, the Center is also at the forefront of methods aimed at improving the quality of work processes, quality of working life, and quality of health care.
The mission of the Center is to create, integrate and transfer knowledge to improve the quality and performance of industrial, service, governmental, health care, educational, social and other organizations.
The vision of the Center is to excel in the advancement and integration of knowledge through research on theories, concepts, and methodologies of quality and productivity measurement, management and improvement, innovation and organizational change. In turn, we work with diverse organizations by applying the knowledge gained in these areas to their operations and management philosophy.
Over the years, the Center's faculty have received 18 international quality awards. The Center's faculty, staff, and students have authored and/or issued over 160 reports, of which more than 45,000 copies have been distributed.
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Reducing Workload and Increasing Patient Safety Through Work and Workspace Design
(2003-11)This paper was commissioned by the Institute of Medicine Committee on the Work Environment for Nurses and Patient Safety. It was used by the IOM for its report on Keeping Patients Safe - Transforming the Work Environment ... -
Human Factors E-Security Workgroup Report of Findings
(2003-04)One of the greatest barriers to effective e-security are the human and organizational factors that contribute to and cause the technical and social vulnerabilities of an organization's computer and information system. The ... -
Design Evaluation of Multi-Station Assembly Processes by Using State Space Approach
(2002-04)This report considers the problem of evaluating and benchmarking process design configuration in a multi-station assembly process. -
Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach
(2002-04)This report presents a methodology for diagnosis of fixture failures in multistage manufacturing processes (MMP). -
Process-oriented Tolerancing for Multi-station Assembly Systems
(2002-10)In multi-station manufacturing systems, the quality of final products is significantly affected by both product design as well as process variables. However, historically tolerance research primarily focused on allocating ... -
An Adversarial Viewpoint of Human and Organizational Factors in Computer and Information Security: Final Report
(2006-08)This report presents a multi-dimensional examination of the human and organizational factors that effect computer and information security (CIS) and explains how human and organizational factors contribute to CIS ... -
Feedforward as a Supplement to Feedback Adjustment in Allowing Feedstock Changes
(2002)This paper considers the complementary use of feedback and feedforward adjustments to compensate for anticipated step changes in the process mean as may be necessary in a manufacturing process each time a new batch of ... -
Statistics for Discovery
(2002-03)In this paper the question is discussed why investigators in engineering and the physical sciences rarely use statistics. It is argued that statistics has been overly influenced by mathematical methods rather than the ... -
Split-Plots for Robust Product and Process Experimentation
(2000-04)Environmentally robust products and processes are designed to be insensitive to variation over the relevant ranges of the environmental conditions in which they need to operate. Split plots frequently provide efficient ... -
Red Team Performance: Summary of Findings
(2004-06)This report summarizes a study the performance of the red team program at Sandia National Laboratories. This study describes the factors that contribute to and hinder red team performance, as well as various measures of ... -
Retargeting Higher Education Access and Persistence Efforts: Illustrating a 'System' Focused Process for Improving Public Policy
(1999-07)This paper illustrates a "systems" approach, based on the quality function deployment model, to examine both the direct and interaction effects of multiple solutions aimed at improving access and persistence. -
Quality Quandries-Six Sigma, Process Drift, Capability Indices, and Feedback Adjustment
(1999-08)The Six Sigma specification makes an allowance of 1.5 standard deviations for process drift. Simple ways in which a major part of such drift can be removed are given. These employ feedback adjustment methods specifically ... -
Web Survey Mailer System (WSMS1.1)
(2003-11)Nowadays, with the extended access to computers and more particularly to the Internet, web-based questionnaires are another tool available for sampling surveys. This document describes the use of the Web-based Survey ... -
Quality in the Public Sector: The Employees' Perspective
(1999-05)This study investigated the effects of the implementation of quality in a public service organization on employees' strain and satisfaction -
Quality Quandaries-Use of Cusum Statistics in the Analysis of Data and in Process Monitoring
(1998-10)The uses of the Cusum Chart are discussed. It can be used for on-line monitoring of an operating process or for post-mortem analysis of data. The Cusum statistic is discussed as a particular example of a Cuscore statistic ... -
Influence of the Sampling Interval, Decision Limit and Autocorrelation on the Average Run Length in Cusum Charts
(1998-09)This paper shows how the average run length (ARL) for a one-sided Cusum chart varies as a function of the length of the sampling interval between consecutive observations, the decision limit for the Cusum statistic, and ... -
Joint X and R Charts with Variable Parameters
(1998-06)Consideration of some popular methods applied in the context of problem solving along with the supporting thought process commonly observed in practice. -
Statistics as a Catalyst to Learning
(1999-06)A discussion on Part I (Box and Liu, 1999) concerning the implications reaised when RSM is considered, as was originally intended as a statistical technique for the catalysis of iterative learning in the manner illustrated. -
Maximum Likelihood Regression on Censored, Experimental Data Using a Spreadsheet Program
(1997-12)This article describes how to analyze censored, experimental data using an optimizing function in a spreadsheet program (such as Solver in Microsoft Excel or Lotus 1-2-3). -
Needed Skills for Human Resource Professionals: A Pilot Study
(1997-11)This pilot study identifies the skills needed by human resource/industrial relations (HR/IR) practitioners and contrasts them with the emphasis currently placed on developing these skills in a single master's degree ...
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