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Computational Intelligence in Logistics and Supply Chain Management (eBook)

Artikelnummer: 978-3-319-40722-7
Einband: PDF
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This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. 

The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. 

There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

This book deals with complex problems in the fields of logistics and supply chain management and discusses advanced methods, especially from the field of computational intelligence (CI), for solving them. 

The first two chapters provide general introductions to logistics and supply chain management on the one hand, and to computational intelligence on the other hand. The subsequent chapters cover specific fields in logistics and supply chain management, work out the most relevant problems found in those fields, and discuss approaches for solving them. Chapter 3 discusses problems in the field of production and inventory management. Chapter 4 considers planning activities on a finer level of granularity which is usually denoted as scheduling. In chapter 5 problems in transportation planning such as different types of vehicle routing problems are considered. While chapters 3 to 5 rather discuss planning problems which appear on an operative level, chapter 6 discusses the strategic problem of designing a supply chain or network. The final chapter provides an overview of academic and commercial software and information systems for the discussed applications. 

There appears to be a gap between general textbooks on logistics and supply chain management and more specialized literature dealing with methods for computational intelligence, operations research, etc., for solving the complex operational problems in these fields. For readers, it is often difficult to proceed from introductory texts on logistics and supply chain management to the sophisticated literature which deals with the usage of advanced methods. This book fills this gap by providing state-of-the-art descriptions of the corresponding problems and suitable methods for solving them.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2016
Seitenangabe176 S.
AusgabekennzeichenEnglisch
AbbildungenXX, 176 p. 20 illus., 14 illus. in color.
Masse2'591 KB
Auflage16001 A. 1st ed. 2017
PlattformPDF
ReiheInternational Series in Operations Research & Management Science; Business and Management; Business and Management
AutorHanne, Thomas / Dornberger, Rolf

Alle Bände der Reihe "International Series in Operations Research & Management Science; Business and Management; Business and Management (R0)"

Über den Autor Thomas Hanne

Thomas Hanne hat Diplomabschlüsse in Wirtschaftswissenschaften und Informatik und einen Doktortitel in Wirtschaftswissenschaften. Von 1999 bis 2007 arbeitete er am Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) als Wissenschaftler. Seitdem ist er Professor für Wirtschaftsinformatik an der Fachhochschule Nordwestschweiz und seit 2012 Leiter des Kompetenzzentrums Systems Engineering. Thomas Hanne ist Autor von etwa 180 Zeitschriften- und Konferenzartikeln und Herausgeber mehrerer Zeitschriften und Sonderausgaben. Seine aktuellen Forschungsinteressen umfassen multikriterielle Entscheidungsanalysen, evolutionäre Algorithmen, Metaheuristiken, Optimierung, Simulation, Logistik und Supply Chain Management.Rolf Dornberger ist Leiter des Instituts für Wirtschaftsinformatik, Hochschule für Wirtschaft, Fachhochschule Nordwestschweiz FHNW (seit 2007) und Leiter der Kompetenzzentren New Trends & Innovation (seit 2013) und Technology, Organization & People (seit 2014) und war Leiter des Kompetenzzentrums Systems Engineering (2006 - 2010). 2002 wurde er zum ausserordentlichen Professor und 2003 zum ordentlichen Professor für Wirtschaftsinformatik an der Fachhochschule Nordwestschweiz FHNW bzw. an deren Vorgängerin, der Fachhochschule Solothurn, ernannt. Darüber hinaus war er Lehrbeauftragter und Gastprofessor an der Universität Stuttgart und an der Zürcher Hochschule für Angewandte Wissenschaften. Bevor er an die Hochschule zurückkehrte, arbeitete er in der Industrie in verschiedenen Managementpositionen als Berater, IT-Verantwortlicher und leitender Forscher in verschiedenen Ingenieur-, Technologie- und IT-Unternehmen im Bereich Energieerzeugungssysteme und IT-Lösungen für die Luftfahrtbranche. Er besitzt einen Doktortitel (1998) und einen Diplomabschluss in Luft- und Raumfahrttechnik (1994). Zu seinen derzeitigen Forschungsinteressen gehören Computational Intelligence, Optimierung,Innovations- und Technologiemanagement sowie neue Trends und Innovationen.

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