Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization (eBook, PDF) - Zheng, Maosheng; Yu, Jie
139,09 €
inkl. MwSt.
Sofort per Download lieferbar
  • Format: PDF

This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems.
Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product’s quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea and novel way to robust design and assessment of product and production and relevant problems.

Robust design and assessment of product and production is attractive to both customer and producer since the stability and insensitivity of a product’s quality to uncontrollable factors reflect its value. Taguchi method has been used to conduct robust design and assessment of product and production for half a century, but its rationality is criticized by statisticians due to its casting of both mean value of a response and its dispersion into one index, which doesn’t characterize the issue of simultaneous optimization of above two independent sub-responses sufficiently for robust design, so an appropriate approach is needed.

The preference or role of a response in the evaluation is indicated by using preferable probability as the unique index. Thus, the rational approach for robust design and assessment of product and production is formulated by means of probabilistic multi-objective optimization, which reveals the simultaneous optimization of both mean value of a response and its dispersion in manner of joint probability.

Besides, defuzzification and fuzzification measurements are involved as preliminary approaches for robust assessment, the latter provides miraculous treatment for the 'target the best' case flexibly.

Autorenporträt
Dr. Maosheng Zheng received his Bachelor degree in Theoretical Physics from Northwest University, Xi’an, China, in 1983, Master degree in Electronic Physics from Xidian University, Xi’an, China, in 1985, and Ph.D. degree in Materials Science and Engineering from Northwestern Polytechnic University, Xi’an, China, in 1992. In June 1994 to June 2006, Dr. Zheng has been in School of Materials Science and Engineering, Xi’an Jiaotong University as a Professor, and since June 2006, Dr. Zheng has been in School of Chemical Engineering, Northwest University as a Professor.

Dr. Zheng focuses on the research of Materials Science and Technology. His recent research interests include: material selection with multi – objective optimization, material technology, energy resource material and technology, renewable energy conversion and utilization, etc. Till 2023, Dr. Zheng has published 5 monographs (1st authored 4 monographs, Springer; 1 coauthored, Science Press) more than 300 peer-reviewed papers in international journals and conferences, chaired “863” project and many projects of Sci. & Tech. Ministry and Shaanxi Province of China. He is a Member of China Energy Society, Vice Chairman of Shaanxi Corrosion and Protection Society, and served as a Reviewer of several international journals. He was a recipient of State Council special allowance, 2nd prize of Science and Technology Progress Award of China Aviation Industry Corporation, 3rd prize of Science and Technology Progress Award of the Ministry of Education, 2nd prize of Huo Yingdong Young Teacher (Research), The 2nd Youth Science and Technology Award of Shaanxi Province, 2nd prize of the Natural Science Award of China Higher Education, respectively.

Jie Yu received her Bachelor degree in polymer science & technology from Northwestern Polytechnic University, Xi’an, China, in 1987. In July 1987 to Dec. 1992, Yu worked at Xi’an Far East Machinery Manufacturing Company as an Assistant Engineer responsible for the design and processing of rubber and plastic parts; in Jan. 1993 to Sept. 2007, Yu served as an Engineer in Department of Polymer Materials of Xi'an Jiaotong University; in Sept. 2007 to Nov. 2011, Yu worked as an Engineer at College of Life Sciences of Northwest University; in Dec. 2011 to Aug. 2020, Yu worked as a Senior Engineer at College of Life Sciences of Northwest University; since August 2020, Yu served as a Professor-leveled Senior Engineer at College of Life Sciences of Northwest University.

Jie Yu focuses on design of experiment and optimization, research of polymer materials and their applications in medicine. Till 2023, Yu has published more than 60 scientific research papers, 2 monograph (co-authored, Springer), chaired and completed 2 key projects of Shaanxi Province, participated in the completion of 5 national and provincial key projects, and 2 enterprise cooperation projects, obtained national invention patents 3 items, and 2 items have been transformed to serve the society, won 1 advanced worker of Northwest University, 2 science and technology awards of Shaanxi Provincial Higher Education Institutions, and 1 gold medal of Shaanxi Science and Technology Workers Innovation and Entrepreneurship Competition.