LEADER 01125cam0 2200277 450 001 E600200011640 005 20210608112051.0 100 $a20050726d1992 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $aCodice del diritto internazionale privato della Comunità Europea$fRoberta Clerici, Franco Mosconi, Fausto Pocar 210 $aMilano$cGiuffrè$d1992 215 $aXIV, 672 p.$d20 cm 702 1$aClerici, Roberta$3AF00008372$4070 702 1$aMosconi, Franco$3AF00022302$4070 702 1$aPocar, Fausto$3AF00003817$4070 710 02$a*Comunità Economica Europea$3A600200031757$4070$0342995 801 0$aIT$bUNISOB$c20210608$gRICA 850 $aUNISOB 852 $aUNISOB$jFondo|Cofin|Cod$m126561 912 $aE600200011640 940 $aM 102 Monografia moderna SBN 941 $aM 957 $aFondo|Cofin|Cod$b000027$gCON$d126561$hCofin$racquisto$1catenacci$2UNISOB$3UNISOB$420050726082009.0$520210608112051.0$6menle$fModalità di consultazione vedi homepage della Biblioteca link Fondi 996 $aCodice del diritto internazionale privato della comunità europea$9576840 997 $aUNISOB LEADER 04964nam 2200589 450 001 9910461392603321 005 20200520144314.0 010 $a1-78560-398-1 035 $a(CKB)3710000000466178 035 $a(EBL)2190629 035 $a(MiAaPQ)EBC2190629 035 $a(Au-PeEL)EBL2190629 035 $a(CaPaEBR)ebr11092113 035 $a(CaONFJC)MIL824006 035 $a(OCoLC)919002289 035 $a(EXLCZ)993710000000466178 100 $a20150901d2015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aResource allocation problems in supply chains /$fby K. Ganesh, McKinsey & Company, Inc., Chennai, India [and three others] 205 $aFirst edition. 210 1$aBingley :$cEmerald Insight,$d2015. 215 $a1 online resource (197 p.) 300 $aDescription based upon print version of record. 311 $a1-78560-399-X 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Resource Allocation Problems in Supply Chains; Copyright page; Abstract; Contents; List of Tables; List of Figures; List of Symbols and Abbreviations; About the Authors; Section 1 Introduction; 1.1. Supply Chain Management; 1.2. Resource Allocation Problems in Supply Chain; 1.3. Motivation of Resource Allocation Problems; 1.3.1. Resource Allocation Variant in Bi-Objective Capacitated Supply Chain Network; 1.3.2. Resource Allocation Variant in Bi-Objective Bound Driven Capacitated Supply Chain Network 327 $a1.3.3. Resource Allocation Variant in Multiple Measures Driven Capacitated Multi-Echelon Supply Chain Network1.3.4. Resource Allocation Variant in Integrated Decision and Upper Bound Driven Capacitated Multi-Echelon Supply Chain Network; 1.3.5. Resource Allocation Variant in Integrated Decision and Time Driven Capacitated Multi-Echelon Supply Chain Network; 1.3.6. Resource Allocation Variant in Integrated Decision, Bound and Time Driven Capacitated Multi-Echelon Supply Chain Network; 1.4. Scope of the Present Study; Section 2 Literature Review; 2.1. Resource Allocation Problem 327 $a2.2. Review of the RA Variants Addressed in Current Research2.2.1. Bi-Objective Generalized Assignment Problem; 2.2.2. Multi-Commodity Network Flow Problem; 2.2.3. Multiple Measures Resource Allocation Problem; 2.2.4. Mixed Capacitated Arc Routing Problem; 2.2.5. Employee Routing Problem; 2.2.6. Vehicle Routing Problem with Backhauls with Time Windows; 2.3. Observations and Research Gap; 2.4. Summary; Section 3 Bi-Objective Capacitated Supply Chain Network; 3.1. Bi-Objective Resource Allocation Problem with Varying Capacity; 3.2. Solution Methodology to Solve BORAPVC 327 $a3.2.1. Mathematical Programming Model for BORAPVC3.2.2. Simulated Annealing with Population Size Initialization through Neighborhood Generation for GAP and BORAPVC; 3.2.2.1. Parameter settings for SAPING; 3.3. Computational Experiments and Results; 3.4. Conclusion; Section 4 Bi-Objective Bound Driven Capacitated Supply Chain Network; 4.1. Bi-Objective Resource Allocation Problem with Bound and Varying Capacity; 4.2. Solution Methodology to Solve IRARPUB; 4.2.1. Recursive Function Inherent Genetic Algorithm (REFING) for MCNF and BORAPBVC; 4.3. Computational Experiments and Results 327 $a4.3.1. Performance of Solution Methodology4.4. Case Study Demonstration; 4.4.1. Problem Identification and Discussion; 4.4.1.1. Patient Distribution System (PDS); 4.4.1.2. Input to the Central Body; 4.4.1.3. Flow chart for the allocation of patients; 4.4.1.4. Problem identification; 4.4.1.5. Assumptions; 4.4.2. Formulation of the Problem; 4.4.3. Model Testing; 4.4.4. Analysis of Results and Discussion; 4.4.5. Managerial Implications; 4.4.6. Summary for Case Study; 4.5. Conclusion; Section 5 Multiple Measures Driven Capacitated Multi-Echelon Supply Chain Network 327 $a5.1. Multiple Measures Resource Allocation Problem for Multi-Echelon Supply 330 $aResource Allocation is the utilization of available resources in the system. This book focuses on development of models for 6 new, complex classes of RA problems in Supply Chain networks, focusing on bi-objectives, dynamic input data, and multiple performance measure based allocation and integrated allocation, and routing with complex constraints. 606 $aResource allocation$xMathematical models 606 $aMathematical optimization 606 $aProgramming (Mathematics) 608 $aElectronic books. 615 0$aResource allocation$xMathematical models. 615 0$aMathematical optimization. 615 0$aProgramming (Mathematics) 676 $a658.7 700 $aGanesh$b K.$0880711 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910461392603321 996 $aResource allocation problems in supply chains$91966983 997 $aUNINA LEADER 03153nam 2200565 450 001 9910798154203321 005 20230808192310.0 010 $a90-04-31041-X 024 7 $a10.1163/9789004310414 035 $a(CKB)3710000000622915 035 $a(EBL)4514068 035 $a(SSID)ssj0001662881 035 $a(PQKBManifestationID)16447424 035 $a(PQKBTitleCode)TC0001662881 035 $a(PQKBWorkID)14878895 035 $a(PQKB)10362653 035 $a(PQKBManifestationID)16279195 035 $a(PQKBWorkID)14878896 035 $a(PQKB)23152850 035 $a(MiAaPQ)EBC4514068 035 $a(nllekb)BRILL9789004310414 035 $a(EXLCZ)993710000000622915 100 $a20160523h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe European atomic energy community in the European Union context $ethe 'Outsider' within /$fby Ilina Cenevska 210 1$aLeiden, Netherlands ;$aBoston, [Massachusetts] :$cBrill Nijhoff,$d2016. 210 4$d©2016 215 $a1 online resource (366 p.) 225 1 $aNijhoff Studies in EU Law,$x2210-9765 ;$vVolume 10 300 $aDescription based upon print version of record. 311 $a90-04-31040-1 320 $aIncludes bibliographical references and index. 327 $aPreliminary Material -- Introduction -- The Nature and the Specificity of the Euratom Community: The Claim for Supranationality -- The Interaction between the Euratom Health and Safety Policy and the Union Environmental Policy -- Euratom and ?Environmental Democracy?: EU Citizens? Access to Information and Participation in Decision-making in the Nuclear Arena -- Euratom and Non-Proliferation of Nuclear Weapons -- Euratom and the European Union: Taking Stock of the Present and Mapping Out the Road Ahead -- Bibliography -- Index. 330 $aIlina Cenevska?s new book, The European Atomic Energy Community in the European Union Context: The 'Outsider' Within explores the unique nature of the Euratom Community as an entity that establishes a supranational regulation in the civil nuclear industry, which, while formally belonging to the European Union construct, is coincidentally somewhat kept ?outside? the mainstream developments in the Union. The book surveys Euratom?s status as an ?outsider within? the European Union through the correlation between the principles and mechanisms particular to the functioning of the Euratom legal framework and those devised under the Union framework stricto sensu , focusing on two specific areas - nuclear safeguards and health and safety in the nuclear domain. 410 0$aNijhoff studies in EU law ;$vVolume 10. 606 $aNuclear energy$xLaw and legislation$zEuropean Union countries 615 0$aNuclear energy$xLaw and legislation 676 $a343.2409/25 700 $aCenevska$b Ilina$01487567 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910798154203321 996 $aThe European atomic energy community in the European Union context$93707502 997 $aUNINA