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Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization - Maosheng Zheng, Jie Yu

Robust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization (eBook)

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eBook Download: PDF
2024
120 Seiten
Springer Nature Singapore (Verlag)
978-981-97-2661-5 (ISBN)
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(CHF 135,85)
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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.





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.
Erscheint lt. Verlag 15.5.2024
Zusatzinfo XII, 120 p. 19 illus., 8 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik Bauwesen
Technik Maschinenbau
Schlagworte fuzzy • Multi-Objective Optimization • Preferable Probability • Probability Theory • quantitative assessment • Robust Design • System Theory
ISBN-10 981-97-2661-1 / 9819726611
ISBN-13 978-981-97-2661-5 / 9789819726615
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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