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The use of modern planning and optimization systems for process synchronization in value networks requires the optimal information exchange between the entities involved. The central focus of Sven Grolik's study is the development of efficient mechanisms for the coordination of information allocation by the example of interconnected transportation marketplaces. Unlike traditional information allocation algorithms, the algorithms developed in his analysis are based on update mechanisms which maintain a weak consistency of replicated information in the network. Sven Grolik shows that these algorithms enable savings concerning the update costs as well as increase the performance within the network, but at the same time guarantee compliance with quality of service levels concerning the currency of information. The focus of this work is the development of decentralized, online algorithms which make a logically distributed computation possible on the basis of local information. The development of these innovative algorithms is based on approaches of multi-agent system theory as well as distributed simulated annealing techniques.
How can inter-organizational cooperation’s in supply chains be improved? This book analyzes the interdependencies between the use of information and communication technologies and the efficient form of IT-based coordination in supply chains and/or supply chain networks. Using the results of an empirical survey done in the European automotive industry, the status quo and the future of different information and communication technologies used to support supply chain operations is shown. The results on a general level were complemented by case studies which give examples demonstrating the specific behavior of individual companies and technological concepts in the automotive industry. On the methodological basis of transaction costs theory, network effect theory and empirical findings, an economic model of “information logistics” is developed, that can be applied to determine optimal IT-configuration and information flows and thus to analyze efficiency of networked cooperation forms. At the example of vehiclespecific supply chains and industry networks it is shown, how the overall network costs necessary to exchange information between business partners can be improved.
The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages. Intelligent Network Management and Control deals with topical issues related mainly to intelligent security of computer networks, deployment of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria optimization methods for selecting networks in a heterogeneous environment. This book also focuses on selecting cloud computing services, intelligent unloading of calculations in the context of mobile cloud computing, intelligent resource management in a smart grid-cloud system for better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio networks and intelligent radio input to meet the on-road communication needs of autonomous vehicles.
This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.
The modern shipping industry has reached maturity; market demand and landscape shifts force industry agents to find new pathways to successful development. The Northern Sea Route (NSR) as a new pathway between Europe and Asia brings both opportunities and challenges to global logistics systems. These circumstances make commercial exploitation of the route a subject of intense focus in many countries actively involved in sea transportation. This book identifies specific problems and provides possible solutions to them by calling on the accumulated knowledge of researchers and practitioners with competencies from diverse areas, including transport and logistics, Arctic studies, IT and digital technologies, socio-economic systems analysis, hydrocarbon production, transport, business modeling, design of information systems and applications, and engineering requirements for IT services. It represents the integrated experience and expertise of researchers from Canada, Germany, Russia, and the Netherlands, including experts from oil and gas enterprises, shipping lines, logistics companies, and IT companies.
"This book presents relevant theoretical frameworks and most recent research findings in this area, providing significant theories for research students and scholars to carry out their continuous research as well as practitioners who aim to improve upon their understanding of distributed production planning"--
Unternehmen mit kurzen Lieferzeiten, hoher Liefertreue und niedrigen Beständen wachsen schnell und erzielen hohe Gewinne. Wie Unternehmen diese logistische Herausforderung meistern können, zeigt das Buch anhand von aktuellen Forschungsergebnissen der Leibniz Universität Hannover. Der Band gibt einen umfassenden Überblick über die Aufgaben und Verfahren der Fertigungssteuerung und befähigt Leser dazu, Schwächen in diesem Bereich zu erkennen und zu korrigieren. Ein fundiertes Nachschlagewerk für Studierende, Dozenten, Ingenieure und Wissenschaftler.
Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior. As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties. Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments. Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environments Discusses original structural and dynamic properties of human social network through OSN analysis