Implementation Of Statistical Process Control (SPC) for Manufacturing

Nityanand Yadav

ISBN 10: 3330048301 / ISBN 13: 9783330048300

Published by LAP LAMBERT Academic Publishing Feb 2017, 2017

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -SPC is a powerful tool to optimize the amount of information needed for use in making management decisions (Dougles. C. Montgomery, 2003). Statistical techniques provide an understanding of the business baselines, insights for process improvements, communication of value and results of processes, and active and visible involvement. SPC provides real time analysis to establish controllable process baselines; learn, set, and dynamically improve process capabilities; and focus business on areas needing improvement. The principle of continuous improvement using the statistical process control which guarantees organizations to move from static to dynamic improvement status was presented. It is evident that a continuous improvement process cannot be realized without quality tools, techniques and methods. 112 pp. Englisch.

Seller Inventory # 9783330048300

Bibliographic Details

• Title: Implementation Of Statistical Process Control (SPC) for Manufacturing
• Publisher: LAP LAMBERT Academic Publishing Feb 2017
• Publication Date: 2017
• Language: English
• ISBN 10: 3330048301
• ISBN 13: 9783330048300
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 185 grams

About this title

Synopsis

SPC is a powerful tool to optimize the amount of information needed for use in making management decisions (Dougles. C. Montgomery, 2003). Statistical techniques provide an understanding of the business baselines, insights for process improvements, communication of value and results of processes, and active and visible involvement. SPC provides real time analysis to establish controllable process baselines; learn, set, and dynamically improve process capabilities; and focus business on areas needing improvement. The principle of continuous improvement using the statistical process control which guarantees organizations to move from static to dynamic improvement status was presented. It is evident that a continuous improvement process cannot be realized without quality tools, techniques and methods.

About the Author

Nityanand Yadav is an Assistant Professor in the Department of Mechanical Engineering at Anand Engineering College, Agra India. He obtained his Dual Degree (B.Tech+M.Tech) in Mechanical & Automation Engineering (Gold Medalist) from Amity University, Jaipur India. Area of specialization includes Operation Research,Refrigeration and Air conditioning.