LEADER 00843nas a2200253 i 4500 001 991002768889707536 005 20231114120822.0 008 011205m19521985it || | |ita 035 $ab11705516-39ule_inst 035 $aPERLE007052$9ExL 080 $aCDU 38 080 $aCDU 325 229 0$aRassegna d'espansione commerciale 245 00$aRassegna d'espansione commerciale. - 1952-1985 260 $aMilano,$c1952-1985 310 $aMensile. 591 $aCodice CNR: P 00043310 592 $aLE009 1981-1985; 907 $a.b11705516$b24-03-11$c08-07-02 912 $a991002768889707536 945 $aLE009 Per. G. 245$g1$lle009$o-$pE0.00$q-$rn$so $t18$u0$v0$w0$x0$y.i11939382$z08-07-02 996 $aRassegna d'espansione commerciale. - 1952-1985$9893790 997 $aUNISALENTO 998 $ale009$b01-01-01$cs$da $e-$fita$git $h0$i1 LEADER 03248nam 22006375 450 001 9910765485203321 005 20250608173228.0 010 $a9789819969876 010 $a9819969875 024 7 $a10.1007/978-981-99-6987-6 035 $a(MiAaPQ)EBC30954325 035 $a(Au-PeEL)EBL30954325 035 $a(CKB)28887496800041 035 $a(OCoLC)1410724643 035 $a(DE-He213)978-981-99-6987-6 035 $a(EXLCZ)9928887496800041 100 $a20231117d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligence Optimization for Green Scheduling in Manufacturing Systems /$fby Chao Lu, Liang Gao, Xinyu Li, Lvjiang Yin 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (xi, 250 pages) $cillustrations 225 1 $aEngineering Applications of Computational Methods,$x2662-3374 ;$v18 311 08$aPrint version: Lu, Chao Intelligence Optimization for Green Scheduling in Manufacturing Systems Singapore : Springer,c2023 9789819969869 320 $aIncludes bibliographical references and index. 327 $a1. System overview -- 2. Green scheduling in single machine environment -- 3. Green scheduling in permutation flow shop environment -- 4. Green scheduling in hybrid flow shop environment -- 5. Green scheduling in job shop environment. 330 $aThis book investigates in detail production scheduling technology in different kinds of shop environment to achieve sustainability manufacturing. Studies on shop scheduling have attracted engineers and scientists from various disciplines, such as electrical, mechanical, automation, computer, and industrial engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of intelligent optimization and the significant influence of production scheduling in the manufacturing systems. The book is intended for undergraduate and graduate students who are interested in intelligent optimization technology, shop scheduling, and green manufacturing systems or other scheduling applications. 410 0$aEngineering Applications of Computational Methods,$x2662-3374 ;$v18 606 $aComputational intelligence 606 $aIndustrial management 606 $aMathematical models 606 $aComputational Intelligence 606 $aIndustrial Management 606 $aMathematical Modeling and Industrial Mathematics 615 0$aComputational intelligence. 615 0$aIndustrial management. 615 0$aMathematical models. 615 14$aComputational Intelligence. 615 24$aIndustrial Management. 615 24$aMathematical Modeling and Industrial Mathematics. 676 $a658.53 700 $aLu?$b Chao$00 702 $aGao$b Liang$f1974- 702 $aLi$b Xinyu 702 $aYin$b Lvjiang 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910765485203321 996 $aIntelligence optimization for green scheduling in manufacturing systems$94319465 997 $aUNINA