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Engineering and manufacturing industries

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Quality Assurance

Article Abstract:

America thirsts for better-quality products, but manufacturers find quality assurance calls for better process control. Ingredients essential to any successful quality assurance program include: (1) attitude; (2) organization; (3) standards; (4) data; and (5) equipment. Total quality costs usually represent fifteen to thirty percent of gross sales billed. Quality costs fall into four major categories: prevention, appraisal, and internal and external costs. Plant automation is often undertaken mainly to up production rates, but better quality will probably result. Artificial intelligence is a technology flowering into systems to help in-process gauging, coordinate measuring machines, nondestructive testers and other inspection systems of all sorts to control quality of processes. A photograph is included.

Publisher: Penton Media, Inc.
Publication Name: Production Engineering
Subject: Engineering and manufacturing industries
ISSN: 0944-6524
Year: 1984
Manufacturing, Automation, Process control, Factory management, Quality Control

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Implementing total quality in R and D

Article Abstract:

Total Quality was implemented at the Health and Personal Care Technology Division of Procter and Gamble in 1991 which resulted in more efficient, competitive and customer-orientated research and development. Other benefits included: cycle time reductions; decreased costs; better employee satisfaction; improved technology transfer and increased value of projects. The model was applied for 2 years and includes: management leadership; improving core business areas; measurement; innovation teams; training and rollout and the steering team.

Author: Wood, Lindsey V., McCamey, David A.
Publisher: Industrial Research Institute Inc.
Publication Name: Research-Technology Management
Subject: Engineering and manufacturing industries
ISSN: 0895-6308
Year: 1993
Sanitary paper products, Soap and other detergents, Medical laboratories, Procter & Gamble Co., Medical sciences, Total quality management

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Ambiguity in multicriteria quality decisions

Article Abstract:

The relationship between quality management and the manufacturing cycle is investigated within the framework of multiple-criteria decision-making. Specifically, fuzzy decision theory is employed to model quality decisions characterized by ambiguity and a multiple criteria nature. The approach, which allows decision-makers to combine experiential knowledge and 'hard figures,' is applied to evaluate quality decision choices based on fixed costs, quality costs, leadtime and flexibility.

Author: Gutierrez, Isabel, Carmona, Salvador
Publisher: Elsevier Science Publishers
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1995
Multiple criteria decision making, Models, Ambiguity

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Subjects list: Quality control, Research, Management
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