Statistical Process Adjustment in Short-Run Manufacturing Processes | An Integrated SPC/EPC Approach

Rong Pan

ISBN 10: 3639112431 / ISBN 13: 9783639112436

Published by VDM Verlag Dr. Müller, 2010

About this Item

Statistical Process Adjustment in Short-Run Manufacturing Processes | An Integrated SPC/EPC Approach | Rong Pan | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639112436 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101651838

Bibliographic Details

• Title: Statistical Process Adjustment in Short-Run Manufacturing Processes | An Integrated SPC/EPC Approach
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2010
• Language: English
• ISBN 10: 3639112431
• ISBN 13: 9783639112436
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 292 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

To produce products with consistent high quality, it is critical to maintain the stability of a manufacturing process. However, the traditional statistical process control (SPC) do not use process adjustments as potential tools for continuous quality improvement. This should be reconsidered because many assumptions used by SPC are no longer valid in a modern manufacturing environment. For example, customized short-run productions require frequent process setups, which may cause a high possibility of process setup error and drastically deteriorate product quality if the process is not quickly and properly adjusted. This monograph aims to provide several process adjustment strategies, which are derived from statistical theory, for maintaining a manufacturing process on its stable and desirable level.

About the Author

Rong Pan is an Assistant Professor of Industrial Engineering at Arizona State University, United States. He received his doctoral degree in Industrial Engineering from the Pennsylvania State University in 2002. His research intererst is quality and reliability engineering, and more recently, reliability modeling and data analysis.