Data Mining Quality in Manufacturing Data - Best Practices Approach to the Manufacturing Industry
- Topics:
- Automotive,
- Total Quality Management
- Source:
- SAS Group
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Overview: The marketplace for manufacturing companies has changed drastically over the past 10 to 15 years. Production has become more complex. Most companies face increased competition both at home and abroad. Mergers and acquisitions create a series of opportunities and threats. This best practices paper discusses quality-related aspects of the enterprise and explains some ways in which information technology can help solve quality problems in manufacturing data. The paper describes the role of data mining in ensuring enterprise quality and includes two in-depth case studies as well as a list of recommended reading.
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Format: PDF | Size: 265KB | Date: Oct 2000 | Pages: 24
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