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Engineering and manufacturing industries

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The five drivers of Total Quality

Article Abstract:

An analysis of the five important criteria for Total Quality (TQ) is presented for successful implementation in a business organization. They include people quality, entrepreneurial and innovation quality, information quality, planning and decision quality and process and execution quality. The points are listed in the order of their importance and influence over others. Successful implementation of TQ will result in high-quality products, better service and information for the customers of a company.

Author: Grahn, Dennis P.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1995

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More, better, faster from total quality effort: P&G achieves a breakthrough in clinical study cycle times

Article Abstract:

Procter & Gamble's (P&G) over-the-counter clinical division has applied the plan-do-check-act (PDCA) learning cycle to its quality improvement effort. The division applied several total quality principles, including focusing on the customer, having clear goals and desired outcomes and striving for continual improvement. It used a published improvement approach specifically focusing on cycle-time reduction. There were steering teams for each of the three key phases of the improvement effort.

Author: McCamey, David A., Boggs, Robert W., Bayuk, Linda M.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 1999
Pharmaceutical industry, Quality management, Procter & Gamble Co., PG

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How to recognize a split-plot experiment

Article Abstract:

The application of statistically designed experiments that are becoming important in organizations engaged in Six Sigma and other quality initiatives is discussed. Split-plot experiments, a statistical experimental design is often more common in experimental situations and knowledge of the split-plot design gives practitioners an option to conduct experiments more efficiently.

Author: Kowalski, Scott M., Potcner, Kevin J.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2003
United States

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Subjects list: Models, Total quality management
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