LEADER 01325nam1 2200289 i 450 001 SUN0059938 005 20070620120000.0 100 $a20070619d1970 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aSettimane di studio del Centro italiano di studi sull'alto Medioevo, 17.$eLa storiografia altomedievale$e10-16 aprile 1969.. 210 $aSpoleto$cPresso la sede del Centro$d1970 215 $a2 v., 965 (p. compless.)$ctav.$d22 cm. 410 1$1001SUN0057407$12001 $aSettimane di studio del Centro italiano di studi sull'alto Medioevo$v17$1210 $aSpoleto$cCentro italiano di studi sull'alto Medioevo. 463 \1$1001SUN0059940$12001 $a<>storiografia altomedievale 2 463 \1$1001SUN0059943$12001 $a<>storiografia altomedievale 1 517 1$3SUN0079757$aˆLa ‰storiografia altomedievale 606 $aStoriografia$xSec. 5.-12.$xSaggi$2FI$3SUNC021054 620 $dSpoleto$3SUNL000143 676 $a907.2$cStoriografia$v22 710 02$aCentro italiano di studi sull'alto Medioevo$3SUNV023363$0172535 712 $aCentro italiano di studi sull'alto Medioevo$3SUNV000539$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0059938 996 $aSettimane di studio del Centro italiano di studi sull'alto Medioevo, 17$91406882 997 $aUNICAMPANIA LEADER 03988nam 22005895 450 001 9910861085203321 005 20250807135700.0 010 $a981-9726-61-1 024 7 $a10.1007/978-981-97-2661-5 035 $a(MiAaPQ)EBC31343083 035 $a(Au-PeEL)EBL31343083 035 $a(CKB)32063089200041 035 $a(DE-He213)978-981-97-2661-5 035 $a(EXLCZ)9932063089200041 100 $a20240515d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRobust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization /$fby Maosheng Zheng, Jie Yu 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (127 pages) 311 08$a981-9726-60-3 320 $aIncludes bibliographical references. 327 $aIntrinsic Essence of Robust Design -- Relevant Contents of System Theory and Probability Theory -- Concise Description of Probabilistic Multi-objective Optimization from Viewpoint of System Theory -- Robust Design of a Single Objective as Dual Sub-objectives Optimization -- Robust Design and Assessment of Product and Production with Multiple Objectives -- Robust Design with Sequential Uniform Algorithm for Optimization by Means of PMOO -- Robust Design and Assessment of Product and Production with Fuzzy Number -- Concluding Remarks. 330 $aThis 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 robust design of above two independent responses sufficiently, 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 robust designs 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. 606 $aMathematical optimization 606 $aIndustrial engineering 606 $aProduction engineering 606 $aProbabilities 606 $aOptimization 606 $aIndustrial and Production Engineering 606 $aApplied Probability 615 0$aMathematical optimization. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aProbabilities. 615 14$aOptimization. 615 24$aIndustrial and Production Engineering. 615 24$aApplied Probability. 676 $a620.0042 700 $aZheng$b Maosheng$0905479 702 $aYu$b Jie 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910861085203321 996 $aRobust Design and Assessment of Product and Production by Means of Probabilistic Multi-objective Optimization$94260403 997 $aUNINA