LEADER 01214nam0 22002893i 450 001 SUN0081096 005 20101217102809.505 010 $a978-88-579-0055-1 100 $a20101217d2010 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aIngegneria della sicurezza antincendio$eguida all'utilizzo di FDS$fGiuseppe Ascenzi, Giacomo Villi, Graziano Vulpiani 210 $a[Palermo]$cFlaccovio$d2010 215 $aIX, 326 p.$cill.$d24 cm. 410 1$1001SUN0081097$12001 $aCollana AiCARR$v12$1210 $aPalermo$cFlaccovio. 620 $dPalermo$3SUNL000013 700 1$aAscenzi$b, Giuseppe$3SUNV067388$0509568 701 1$aVilli$b, Giacomo$3SUNV067389$0509569 701 1$aVulpiani$b, Graziano$3SUNV067390$0509570 712 $aFlaccovio$3SUNV001882$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0081096 950 $aUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIA$d05 CONS I I 101 $e05 5666 995 $aUFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIA$bIT-CE0100$h5666$kCONS I I 101$oc$qa 996 $aIngegneria della sicurezza antincendio$9769975 997 $aUNICAMPANIA LEADER 04884nam 22006255 450 001 9910254942603321 005 20230719191834.0 010 $a3-319-23350-5 024 7 $a10.1007/978-3-319-23350-5 035 $a(CKB)3710000000526842 035 $a(EBL)4179379 035 $a(DE-He213)978-3-319-23350-5 035 $a(MiAaPQ)EBC4179379 035 $a(PPN)228318440 035 $a(EXLCZ)993710000000526842 100 $a20151126d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMetaheuristics for Production Systems /$fedited by El-Ghazali Talbi, Farouk Yalaoui, Lionel Amodeo 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (370 p.) 225 1 $aOperations Research/Computer Science Interfaces Series,$x2698-5489 ;$v60 300 $aDescription based upon print version of record. 311 $a3-319-23349-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aA Literature Survey on Metaheuristics in Production Systems -- Solving Unidirectional Flow Path Design Problems Using Metaheuristics -- Iterated Great Deluge for the Dynamic Facility Layout Problem -- Optimization Approaches for Multi-Level Assembly Systems Under Stochastic Lead Times -- An Adapted NSGA-H Algorithm for a Reconfigurable Manufacturing System (RMS) Design Under Machines Reliability Constraints -- Levy Strategy Based Metaheuristic for Smart Grid -- Minimising Safety Stock and Lead Time in Production Systems Under Guaranteed-Service Time Models by Swarm Intelligence -- Tabu Search Approaches for Two Car Sequencing Problems with Smoothing Constraints -- Investigations on Performance Evaluation of Scheduling Heuristics and Metaheuristics in a Parallel machine Environment -- Scheduling Complex Manufacturing Systems Using a Genetic Algorithm -- An Efficient Heuristic to Minimize the Total Tardiness in the Parallel Machines Scheduling Problem -- Integrated Planning and Scheduling with Dynamic Analysis and Control of Service Level and Costs -- Meta-heuristics Approaches for the Flexible Job Shop Scheduling Problem -- Fuzzy Modeling of Single Machine Scheduling Problems Including the Learning Effect. 330 $aThis book discusses the main techniques and newest trends to manage and optimize the production and service systems. The book begins by examining the three main levels of decision systems in production: the long term (strategic), the middle term (tactical) and short term (operational). It also considers online management as a new level (a sub level of the short term). As each level encounters specific problems, appropriate approaches to deal with these are introduced and explained. These problems include the line design, the line balancing optimization, the physical layout of the production or service system, the forecasting optimization, the inventory management, the scheduling etc. Metaheuristics for Production Systems then explores logistic optimization from two different perspectives: internal (production management), addressing issues of scheduling, layout and line designs, and external (supply chain management) focusing on transportation optimization, supply chain evaluation, and location of production. The book also looks at NP-hard problems that are common in production management. These complex configurations may mean that optimal solutions may not be reached due to variables, but the authors help provide a good solution for such problems. The effective new results and solutions offered in this book should appeal to researchers, managers, and engineers in the production and service industries. 410 0$aOperations Research/Computer Science Interfaces Series,$x2698-5489 ;$v60 606 $aProduction management 606 $aOperations research 606 $aManagement science 606 $aOperations Management 606 $aOperations Research and Decision Theory 606 $aOperations Research, Management Science 615 0$aProduction management. 615 0$aOperations research. 615 0$aManagement science. 615 14$aOperations Management. 615 24$aOperations Research and Decision Theory. 615 24$aOperations Research, Management Science . 676 $a650 702 $aTalbi$b El-Ghazali$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYalaoui$b Farouk$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAmodeo$b Lionel$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254942603321 996 $aMetaheuristics for Production Systems$92184076 997 $aUNINA