01158nam--2200373---450-99000215617020331620081217125642.00-7355-4204-X000215617USA01000215617(ALEPH)000215617USA0100021561720041109d2004----km-y0enga50------baStructuring merges & acquisitionsa guide tocreating shareholder valueby Peter A. Hunt2. edNew York, N.Y.Aspen Publisherscopyr. 2004LXXXII, 744 p.26 cm20012001001------2001SocietaValutazioneStati UnitiSocietaFusioneStati Uniti658.162HUNT,Peter A.568400ITsalbcISBD990002156170203316658.162 HUN 1 (IRA I 366)45477 G.IRA I00130880BKGIUMARIA1020041109USA011500IANNONE9020050621USA010959RSIAV19020081217USA011256Structuring merges & acquisitions1038456UNISA01135nam0-2200349li-450 99000017245020331620180312154838.00-86380-105-60017245USA010017245(ALEPH)000017245USA01001724520001109d1990----km-y0itay0103----baengGBSimulation and control of electrical power stationsJames B. KnowlesTauntonResearch Studies Press ;New York [etc.]John Wiley & Sonscopyr. 1990centrali elettriche controllocentrali elettriche elaboratori elettron621.3121GenerazioneKnowles,James B.754307Sistema bibliotecario di Ateneo dell' Università di SalernoRICA990000172450203316621.312 1 KNO0007409BKTEC1996092420001110USA01171220020403USA011625PATRY9020040406USA011612Simulation and control of electrical power stations1517706UNISA06592nam 2201573z- 450 991058594060332120220812(CKB)5600000000483076(oapen)https://directory.doabooks.org/handle/20.500.12854/91192(oapen)doab91192(EXLCZ)99560000000048307620202208d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierExpanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and ToolsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (446 p.)3-0365-4361-9 3-0365-4362-7 This research topic aims at enterprise-wide modeling and optimization (EWMO) through the development and application of integrated modeling, simulation and optimization methodologies, and computer-aided tools for reliable and sustainable improvement opportunities within the entire manufacturing network (raw materials, production plants, distribution, retailers, and customers) and its components. This integrated approach incorporates information from the local primary control and supervisory modules into the scheduling/planning formulation. That makes it possible to dynamically react to incidents that occur in the network components at the appropriate decision-making level, requiring fewer resources, emitting less waste, and allowing for better responsiveness in changing market requirements and operational variations, reducing cost, waste, energy consumption and environmental impact, and increasing the benefits. More recently, the exploitation of new technology integration, such as through semantic models in formal knowledge models, allows for the capture and utilization of domain knowledge, human knowledge, and expert knowledge toward comprehensive intelligent management. Otherwise, the development of advanced technologies and tools, such as cyber-physical systems, the Internet of Things, the Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud Computing, Blockchain, etc., have captured the attention of manufacturing enterprises toward intelligent manufacturing systems.Expanding the Horizons of ManufacturingHistory of engineering and technologybicsscTechnology: general issuesbicssc3D printing3D simulation modeling and analysisabrasive water jetadditive manufacturingagri-supply chain managementAGV-Automated Guided Vehiclesalgebraic geometryBeijing-Tianjin-Hebei regionbin-packing problembiopharmaceutical manufacturingbioprocessingblockchainBOG compressorbottleneck analysisclosed-loop schedulingcloud modelcomprehensive evaluationcomputational engineeringcomputer systems and networkscontinuous manufacturingcontinuous pharmaceutical manufacturingcuttingcyber-physical systemsDES-Discrete Event Simulationdigital twindigitalisationeco-efficient productionedge computingenterprise process architectureenterprise-wide optimisationexplicit MPCfault detectionFMS-Flexible Manufacturing Systemsfoulingglidant effectsheat exchanger networkshuman-cyber systemsimperfect productionIndustrial Internet of ThingsIndustry 4.0intelligent manufacturingintelligent systemsinventory managementIoTLNG terminallow-carbon economymachine learningmanufacturing processmaterial requirements planningMINLPmixed-integer linear programmingmodel implementationmodel predictive controlmodel-basedmodelingmulti-echelonmulti-parametric programmingn/anew technologies integrationOEE-Overall Equipment Efficiencyoperational envelopesoperational flexibilityoperational optimizationoptimal control and schedulingoptimal resourcespharmaceutical manufacturepharmaceutical manufacturingplant-model mismatchpredictive process adjustmentprocess intelligenceprocess modelingprocess simulationprocess systems engineeringproduction costsquality predictionquality-by-control (QbC)real-time monitoringregional logisticsreinforcement learningresource conservationscheduling stabilitysensor dataset-point trackingsingle-use technologysmart manufacturingstate estimationstochastic programmingsupply chainsurface qualityTri-X Intelligenceuncertaintyvacuum grippervariable production rateWCLcWorld Class LogisticHistory of engineering and technologyTechnology: general issuesPuigjaner Luisedt611125Espuña Camarasa AntonioedtMuñoz Mata EdrisiedtCapón García ElisabetedtPuigjaner LuisothEspuña Camarasa AntonioothMuñoz Mata EdrisiothCapón García ElisabetothBOOK9910585940603321Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools3029701UNINA