Data mining for improvement of product quality

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Product Quality Improvement Using Multivariate Data Analysis

A data-based methodology for improving product quality is proposed. Referred to as Data-Driven Quality Improvement (DDQI), the proposed method can cope with qualitative as well as quantitative variables, determine the operating conditions that can achieve the desired product quality, optimize operating condition under various constraints, and thus can provide useful information to improve produ...

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Data Mining for Decision Support of the Quality Improvement Process

A two-stage methodology is presented for enhancing the process of assigning quality problems to quality improvement teams in industrial firms. The method advances the decision support system of the quality improvement process by grouping the related quality problems in two steps:. First, a soft grouping is performed using association rules as a data mining technique, and then, resulted groups a...

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Mining Your Data for Health Care Quality Improvement

Quality improvement in the health care industry can best be defined by examining the driving forces that are effecting the industry. The evolution of the health care in this country is driven by a single purpose. How can health care organizations lower cost, raise quality, and still remain competitive? The implementation of patient-focused quality improvement programs are at or near the top of ...

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Quality Improvement using Data Mining in Manufacturing Processes

Nowadays, manufacturing enterprises have to stay competitive in order to survive the competition in the global market. Quality, cost and cycle time are considered as decisive factors when a manufacturing enterprise competes against its peers. Among them, quality is viewed as the more critical for getting long-term competitive advantages. The development of information technology and sensor tech...

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ژورنال

عنوان ژورنال: International Journal of Production Research

سال: 2006

ISSN: 0020-7543,1366-588X

DOI: 10.1080/00207540600678904