LEADER 03274nam 22006855 450 001 996203612503316 005 20230220082654.0 010 $a3-642-54943-8 024 7 $a10.1007/978-3-642-54943-4 035 $a(CKB)3710000000106792 035 $a(DE-He213)978-3-642-54943-4 035 $a(SSID)ssj0001205036 035 $a(PQKBManifestationID)11699324 035 $a(PQKBTitleCode)TC0001205036 035 $a(PQKBWorkID)11181361 035 $a(PQKB)11203462 035 $a(MiAaPQ)EBC3093429 035 $a(PPN)178320390 035 $a(EXLCZ)993710000000106792 100 $a20140417d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantum Interaction$b[electronic resource] $e7th International Conference, QI 2013, Leicester, UK, July 25-27, 2013. Selected Papers /$fedited by Harald Atmanspacher, Emmanuel Haven, Kirsty Kitto, Derek Raine 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XI, 349 p. 46 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8369 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-54942-X 327 $aQuantum interaction and revolve around four themes: information processing/retrieval/semantic representation and logic -- Cognition and decision making -- Finance/economics and social structures -- Biological systems. 330 $aThis book constitutes the refereed proceedings of the 7th International Conference on Quantum Interaction, QI 2013, held in Leicester, UK, in July 2013. The 31 papers presented in this book were carefully selected from numerous submissions. The papers cover various topics on quantum interaction and revolve around four themes: information processing/retrieval/semantic representation and logic; cognition and decision making; finance/economics and social structures; and biological systems. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8369 606 $aComputer science 606 $aArtificial intelligence 606 $aInformation storage and retrieval systems 606 $aQuantum computers 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aInformation Storage and Retrieval 606 $aQuantum Computing 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval systems. 615 0$aQuantum computers. 615 14$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aQuantum Computing. 676 $a004.0151 702 $aAtmanspacher$b Harald$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHaven$b Emmanuel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKitto$b Kirsty$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRaine$b Derek$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996203612503316 996 $aQuantum Interaction$9774145 997 $aUNISA LEADER 01757oam 2200457 450 001 9910716049203321 005 20210524142449.0 035 $a(CKB)5470000002517613 035 $a(OCoLC)1250658460 035 $a(EXLCZ)995470000002517613 100 $a20210517d2021 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPending legislation $ehearing before the Subcommittee on Public Lands, Forests, and Mining of the Committee on Energy and Natural Resources, United States Senate, One Hundred Sixteenth Congress, first session, on S. 242, S. 258, S. 434, S. 490, S. 499, S. 526, S. 1079, S. 1262, May 14, 2019 210 1$aWashington :$cU.S. Government Publishing Office,$d2021. 215 $a1 online resource (vi, 279 pages) $ccolor illustrations, color maps 225 1 $aS. hrg. ;$v116-323 320 $aIncludes bibliographical references. 517 $aPending legislation 606 $aPublic lands$zUnited States 606 $aLand titles$xRegistration and transfer$zUnited States 606 $aOil and gas leases$zUnited States 606 $aRecreation areas$xLaw and legislation$zUnited States 606 $aWilderness areas$xLaw and legislation$zUnited States 608 $aLegislative hearings.$2lcgft 615 0$aPublic lands 615 0$aLand titles$xRegistration and transfer 615 0$aOil and gas leases 615 0$aRecreation areas$xLaw and legislation 615 0$aWilderness areas$xLaw and legislation 801 0$bGPO 801 1$bGPO 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910716049203321 996 $aPending legislation$93138128 997 $aUNINA LEADER 05562nam 2200409 450 001 9910808522503321 005 20230807203141.0 010 $a3-8325-9956-8 035 $a(CKB)4340000000242795 035 $a(MiAaPQ)EBC5219666 035 $a58a1c690-1b40-4d88-a26b-3edeb0dd2d03 035 $a(EXLCZ)994340000000242795 100 $a20180519d2015 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCoordination in heterarchical supply chains $ea framework for the design and evaluation of collaborative planning concepts /$fPeer Ku?ppers 210 1$aBerlin :$cLogos Verlag,$d[2015] 210 4$d©2015 215 $a1 online resource (374 pages) 225 0 $aAdvances in Information Systems and Management Science 300 $aPublicationDate: 20151028 311 $a3-8325-3585-3 330 $aLong description: Today's globalized business environment is characterized by a strong competitive pressure which requires companies to improve their supply chains' effectiveness and efficiency by coordination. However, the organizational structures are more and more characterized by networks containing equal partners which restricts the application of coordination mechanisms. Collaborative planning aims at covering the resulting requirements and gains more and more attention in research and practice. Within these approaches, the companies' shared decision-space is collaboratively explored and evaluated by means of formally specified interaction processes which are connected to local planning models. These procedures allow to find a mutually agreed and beneficial planning solutions which improve the supply chain's overall performance. Within this domain, a limited degree of practical implementations has been identified. Thus, a large potential for supporting supply chain planners and IT-departments in the selection, customization, and implementation of suitable and promising coordination mechanisms exists. Addressing these potentials, as part of his doctoral studies Peer Küppers developed the Framework for Intelligent Supply Chain Collaboration (FRISCO). It contains methods and tools for designing and modelling collaborative planning concepts as well as an agent-based simulation environment for the use case-driven and quantitative evaluation of their coordination performance. The framework's utility has been shown in various scenarios from different industries which emphasizes its generalizability. Peer Küppers, born in 1981, studied computer engineering at the Technische Universität Berlin and business administration at the Westfälische Wilhelms-Universität Münster. Afterwards, he worked as a research assistant at the European Research Center for Information Systems (ERCIS). In November 2013, he finished his doctorate in econcomics. Since 2015 he is a data scientist in the domain ``Internet of Things''. Before, he was an IT-project manager in the aerospace industry. Um dem Leistungsdruck einer globalisierten Wirtschaft begegnen zu können, streben Unternehmen verbesserte Koordination zur Steigerung der Supply Chain-Effizienz bzw. -Effektivität an. Jedoch weisen heutige Organisationsstrukturen, die vielfach durch Netzwerke mit teilweise gleichberechtigten Partnerschaften gekennzeichnet sind, Restriktionen für Koordinationsmechanismen auf. Die Kollaborative Planung stellt einen Koordinationsansatz dar, der diese Anforderungen berücksichtigt und stetig an Bedeutung in Forschung und Praxis gewinnt. Durch die formelle Spezifikation von Interaktionsprozessen und deren Anbindung an lokale Planungsmodelle wird der Supply Chain-weite Entscheidungsraum kollaborativ durchsucht. So wird - aufgrund der Komplexität meist IT-basiert - einvernehmliche Koordination erreicht und die Gesamtperformance verbessert. Hinsichtlich dieser Planungskonzepte konnte ein geringer Grad der praktischen Durchdringung und somit großes Potential zur Unterstützung von Supply Chain-Planern und IT-Abteilungen in der Auswahl, Anpassung und Implementierung geeigneter Koordinationsmechanismen identifiziert werden. Daher entwickelte Peer Küppers im Rahmen seiner Promotion das Framework for Intelligent Supply Chain Collaboration (FRISCO). Es enthält Methoden und Werkzeuge zur Gestaltung und Modellierung Kollaborativer Planungskonzepte sowie eine agentenbasierte Simulationsumgebung zur Bewertung der Koordinationsleistung im Anwendungsfall. Der Nutzen des Frameworks konnte anhand verschiedener Szenarien aus unterschiedlichen Branchen dargestellt und damit dessen Generalisierbarkeit unterstrichen werden. Peer Küppers, Jahrgang 1981, studierte Technische Informatik an der Technischen Universität Berlin und Betriebswirtschaftslehre an der Westfälischen Wilhelms-Universität Münster. Im Anschluss war er als wissenschaftlicher Mitarbeiter am European Research Center for Information Systems (ERCIS) tätig. Im November 2013 erfolgte die Promotion zum Doktor der Wirtschaftswissenschaften. Seit 2015 arbeitet er als Data Scientist im Bereich Internet of Things. Zuvor war er als IT-Projektmanager in der Luftfahrtindustrie tätig. 606 $aBusiness logistics$xManagement 615 0$aBusiness logistics$xManagement. 676 $a658.7 700 $aKu?ppers$b Peer$01655711 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910808522503321 996 $aCoordination in heterarchical supply chains$94008184 997 $aUNINA LEADER 01402nam a2200265 4500 001 991003016359707536 005 20250430125932.0 008 940713s1792 sp f b 000 0 spa 035 $ab14268668-39ule_inst 035 $aCICOGNARA-1407$9ExL 040 $aBibl. Interfacoltà T. 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