Fuzzy Logic Based Design for Six Sigma

Sanjeev Kumar

ISBN 10: 333007907X / ISBN 13: 9783330079076

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Six Sigma is considered as statistical analysis, assessment scales and customer-oriented production accomplishments and it leads to defect production reduction. A Six Sigma efficacy evaluation system is generally based on the perception of people that can result in unreliable measurement. To overcome this insufficiency, we used a fuzzy approach. The recent technological advancements have drastically increased the product variety, thereby, providing the end users more options to select and customize their products. Hence, it becomes vital for the manufacturer to acknowledge the importance of the customer requirements for maintaining a permanent goodwill among them. In this respect, Design for Six Sigma (DFSS) methodology is one of the prominent techniques for integrating the voice of customer (VOC) with the design characteristics. This work recommends an approach to design Six Sigma using fuzzy logic.

Seller Inventory # 9783330079076

Bibliographic Details

• Title: Fuzzy Logic Based Design for Six Sigma
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 333007907X
• ISBN 13: 9783330079076
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams

About this title

Synopsis

Six Sigma is considered as statistical analysis, assessment scales and customer-oriented production accomplishments and it leads to defect production reduction. A Six Sigma efficacy evaluation system is generally based on the perception of people that can result in unreliable measurement. To overcome this insufficiency, we used a fuzzy approach. The recent technological advancements have drastically increased the product variety, thereby, providing the end users more options to select and customize their products. Hence, it becomes vital for the manufacturer to acknowledge the importance of the customer requirements for maintaining a permanent goodwill among them. In this respect, Design for Six Sigma (DFSS) methodology is one of the prominent techniques for integrating the voice of customer (VOC) with the design characteristics. This work recommends an approach to design Six Sigma using fuzzy logic.

About the Author

Dr Sanjeev Kumar completed PhD from National Institute of Technology Kurukshetra. He is currently Associate Professor in the department of mechanical engineering at YMCA University of Science & Technology Faridabad. His research interests include Reliabilit, Six Sigma, Performance evaluation and optimization, decision support systems, RAMS etc.