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Data Mining Essay

4402 words - 18 pages

Data Mining

Quality in Manufacturing Data

Best Practices Approach To The Manufacturing Industry

Data Mining: Quality in Manufacturing Data was written by Ken Collier KPMG Consulting and Gerhard Held SAS Consultants Curt Marjaniemi Don Sautter KPMG Consulting and Mohan Namboodiri SAS Technical Reviewers Knowledge Management Solutions Group KPMG Consulting and Development Group Business Solutions Division, Knowledge SAS

October 2000

Table of Contents
List of Exhibits. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii 1. Manufacturing in a Rapidly Changing Market. . . . . . . . . . . . ...view middle of the document...

. . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Credits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Case Sampling i

List of Exhibits
Figure 1. Quality Data Warehouse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Figure 2. Three-level Quality Strategy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Figure 3. P-chart for the Proportion of Banding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Figure 4. Pareto Diagram of Press Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Figure 5. Data Mining Flow for Band Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Figure 6. Data Replacement Node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Figure 7. Variable Selection Node . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Figure 8. Lift Chart for Banding Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Figure 9. Tree for Banding Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Figure 10. Data Mining Flow for Hard Drive Failure Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Figure 11. Lift Curves for the Best Neural Net, Decision Tree, and Regression Model . . . . . . . . . . . . . . . . 16

Table 1. Potential Causes for Bands in the Printing Process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

October 2000

1. Manufacturing in a Rapidly Changing Market
The manufacturing industry has become more and more complex and has grown to include a variety of sub-sectors. Some of the sub-sectors in the manufacturing industry are the following: • • • • • • exploitation of mineral resources (coal, oil, gas) high technology equipment such as computers consumer-oriented mass production such as food processing highly specialized capital goods production such as turbines process-oriented production such as chemicals discrete consumables such as cars.

Although these sub-sectors are very diverse internally, they all have in common production, research, and development facilities, which often can be large. Most if not all of them also face very similar production issues such as new product development, quality management, capacity planning and tracking, preventive maintenance of production facilities, health, safety, and environmental protection, inventory optimization, and supply chain management. The marketplace for manufacturing...

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