Quality chain design and optimization by multiple response surface methodology

被引:0
|
作者
Taha Hossein Hejazi
Mirmehdi Seyyed-Esfahani
Masoud Mahootchi
机构
[1] Amirkabir University of Technology (Tehran Polytechnic),Department of Industrial Engineering and Management Systems
来源
The International Journal of Advanced Manufacturing Technology | 2013年 / 68卷
关键词
Quality engineering; Design of experiments; Statistical modeling; Mathematical programming; Multiresponse optimization;
D O I
暂无
中图分类号
学科分类号
摘要
To maintain optimal quality characteristics in the defined specification limits is a vital decision for any industry and service system. To avoid nonconformity in outputs, the stream of variations and their potential causes must be identified so that the response variables fall into desirable limits across the manufacturing or service chain. Response surface methodology is considered as a powerful technique to facilitate the analysis of the mentioned problem. This paper presents the general quality chain design problem as a mathematical program and also proposes a method to solve it using multiple response surface methodology. An example of multistage processes is analyzed by the proposed approach to show its efficacies numerically and analytically.
引用
收藏
页码:881 / 893
页数:12
相关论文
共 50 条
  • [31] Adsorption heat pump optimization by experimental design and response surface methodology
    Pinheiro, Joana M.
    Salustio, Sergio
    Valente, Anabela A.
    Silva, Carlos M.
    APPLIED THERMAL ENGINEERING, 2018, 138 : 849 - 860
  • [32] Application of the factorial design and response surface methodology for optimization of alcoholic fermentation
    Silva, Jose Alexsandro
    Goulart de Lima Damasceno, Bolivar Ponciano
    Honorato da Silva, Flavio Luiz
    Madruga, Marta Suely
    de Santana, Davi Pereira
    QUIMICA NOVA, 2008, 31 (05): : 1073 - 1077
  • [33] Design optimization for cogging torque minimizatior using response surface methodology
    Li, JI
    Liu, ZJ
    Jabbar, MA
    Gao, XK
    IEEE TRANSACTIONS ON MAGNETICS, 2004, 40 (02) : 1176 - 1179
  • [34] An approach to optimization in response surface methodology
    Díaz-García, JA
    Ramos-Quiroga, R
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2001, 30 (05) : 827 - 835
  • [35] Optimization of friction stir welding parameters using multiple response surface methodology
    Ghaffarpour, Morteza
    Aziz, Ahmad
    Hejazi, Taha-Hossein
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS, 2017, 231 (07) : 571 - 583
  • [36] Optimization of Multiple Responses Using Data Envelopment Analysis and Response Surface Methodology
    Tsai, Chih-Wei
    Tong, Lee-Ing
    Wang, Chung-Ho
    JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2010, 13 (02): : 197 - 203
  • [37] Enhancement of gaharu oleoresin quality by process optimization using response surface methodology
    Sulaiman, Ngadiran
    Idayu, Muhamad Ida
    Ramlan, Aziz
    Farahiyah, Aman Nor Nor
    Taher, Zarani Mat
    Rashidah, Ahmed Nor
    Mohamad, Mohd Faizal
    BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY, 2019, 18
  • [38] Multiple-response optimization for micro-endmilling process using response surface methodology
    U. Natarajan
    PR. Periyanan
    S. H. Yang
    The International Journal of Advanced Manufacturing Technology, 2011, 56 : 177 - 185
  • [39] Multiple-response optimization for micro-endmilling process using response surface methodology
    Natarajan, U.
    Periyanan, P. R.
    Yang, S. H.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2011, 56 (1-4): : 177 - 185
  • [40] Design Optimization of Magnetic Flux Distribution for PMG by Using Response Surface Methodology
    Karaoglan, Aslan Deniz
    Ocaktan, Demet Gonen
    Oral, Ali
    Perin, Deniz
    IEEE TRANSACTIONS ON MAGNETICS, 2020, 56 (06)