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Download Statistical Case Studies for Industrial Process Improvement by Veronica Czitrom, Patrick D. Spagon in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Statistical Case Studies for Industrial Process Improvement
American industry is becoming more aware of the importance of applying statistical methods to improve its competitive edge in the world market. Examples of real industrial applications can serve as a major motivator for industries that want to increase their use of statistical methods. This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries.
Detailed Information
| Author: | Veronica Czitrom, Patrick D. Spagon |
|---|---|
| Publication Year: | 1987 |
| ISBN: | 898713943 |
| Pages: | 542 |
| Language: | English |
| File Size: | 48.781 |
| Format: | |
| Price: | FREE |
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