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Dieses Buch stellt ausgewählte Beispiele der Digitalisierung im
Zeitalter des digitalen Wandels vor. Es gliedert sich in die zwei
Abschnitte "Digitale Innovation", in dem neue Technologien
vorgestellt werden, die neue Geschäftsmöglichkeiten anregen und
ermöglichen, und "Digitale Transformation", in dem Geschäfts- und
Managementkonzepte vorgestellt werden, die spezifische
technologische Lösungen für ihre praktische Umsetzung nutzen. Das
Buch kombiniert neue Erkenntnisse aus Forschung, Lehre und
Management, einschließlich digitaler Business-Transformation,
E-Business, Wissensdarstellung, Mensch-Computer-Interaktion und
Geschäftsoptimierung, und zeigt eine Bandbreite von
Forschungsthemen sowie deren anwendungsorientierte Umsetzung in die
Praxis auf. Es richtet sich an Akademiker und Akademikerinnen, die
Inspiration suchen, sowie an Führungskräfte, die das Potenzial
der neuesten Trends nutzen wollen, um die Gesellschaft und
Unternehmen auf die nächste Stufe zu heben.
This book presents selected examples of digitalization in the age
of digital change. It is divided into two sections: "Digital
Innovation," which features new technologies that stimulate and
enable new business opportunities; and "Digital Business
Transformation," comprising business and management concepts that
employ specific technological solutions for their practical
implementation. Combining new insights from research, teaching and
management, including digital transformation, e-business, knowledge
representation, human-computer interaction, and business
optimization, the book highlights the breadth of research as well
as its meaningful and relevant transfer into practice. It is
intended for academics seeking inspiration, as well as for leaders
wanting to tap the potential of the latest trends to take society
and their business to the next level.
This book presents selected examples of digitalization in the age
of digital change. It is divided into two sections: "Digital
Innovation," which features new technologies that stimulate and
enable new business opportunities; and "Digital Business
Transformation," comprising business and management concepts that
employ specific technological solutions for their practical
implementation. Combining new insights from research, teaching and
management, including digital transformation, e-business, knowledge
representation, human-computer interaction, and business
optimization, the book highlights the breadth of research as well
as its meaningful and relevant transfer into practice. It is
intended for academics seeking inspiration, as well as for leaders
wanting to tap the potential of the latest trends to take society
and their business to the next level.
This book discusses digitalization trends and their concrete
applications in business and societal contexts. It summarizes new
findings from research, teaching and management activities
comprising digital transformation, e-business, the representation
of knowledge, human-computer interaction and business optimization.
The trends discussed include artificial intelligence, virtual
reality, robotics, blockchain, and many more. Professors and
researchers who conduct research and teach at the interface between
academia and business present the latest advances in their field.
The book adopts the philosophy of applied sciences and combines
both rigorous research and practical applications. As such, it
addresses the needs of both professors and researchers, who are
constantly seeking inspiration, and of managers seeking to tap the
potential of the latest trends to take their business to the next
level. Readers will find answers to pressing questions that arise
in their daily work.
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 discusses digitalization trends and their concrete
applications in business and societal contexts. It summarizes new
findings from research, teaching and management activities
comprising digital transformation, e-business, the representation
of knowledge, human-computer interaction and business optimization.
The trends discussed include artificial intelligence, virtual
reality, robotics, blockchain, and many more. Professors and
researchers who conduct research and teach at the interface between
academia and business present the latest advances in their field.
The book adopts the philosophy of applied sciences and combines
both rigorous research and practical applications. As such, it
addresses the needs of both professors and researchers, who are
constantly seeking inspiration, and of managers seeking to tap the
potential of the latest trends to take their business to the next
level. Readers will find answers to pressing questions that arise
in their daily work.
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.
Das Buch zeigt komplexe Probleme in den Bereichen Logistik und
Supply Chain Management und eroertert fortschrittliche Methoden,
insbesondere aus dem Bereich Computational Intelligence (CI), zu
deren Loesung. Die ersten beiden Kapitel bieten allgemeine
Einfuhrungen in die Logistik, das Lieferkettenmanagement und in die
Computational Intelligence. Die folgenden Kapitel behandeln
spezifische Bereiche der Logistik und des Supply Chain Managements
und diskutieren Loesungsansatze. In Kapitel 3 werden Probleme der
Transportplanung, wie z. B. Arten von Vehicle Routing, betrachtet.
In Kapitel 4 werden Probleme aus dem Bereich der Produktions- und
Lagerverwaltung eroertert. Kapitel 5 befasst sich mit
Planungsaktivitaten beim Scheduling. Wahrend in den Kapiteln 3 bis
5 eher Planungsprobleme auf operativer Ebene behandelt werden, geht
es in Kapitel 6 um das strategische Problem der Gestaltung einer
Lieferkette oder eines Netzwerks. Das letzte Kapitel gibt einen
UEberblick uber akademische und kommerzielle Software und
Informationssysteme fur die diskutierten Anwendungen. Es scheint
eine Lucke zu geben zwischen allgemeinen Lehrbuchern uber Logistik
und Supply Chain Management und speziellerer Literatur, die sich
mit Methoden der Computational Intelligence, des Operations
Research usw. zur Loesung komplexer betrieblicher Probleme in
diesen Bereichen befasst. Fur den Leser ist es oft schwierig, von
einfuhrenden Texten uber Logistik und Supply Chain Management zu
der anspruchsvollen Literatur uber die Anwendung fortgeschrittener
Methoden uberzugehen. Dieses Buch fullt diese Lucke, indem es
Beschreibungen der entsprechenden Probleme und geeignete Methoden
zu ihrer Loesung auf dem neuesten Stand der Technik bereitstellt.
Dieses Buch ist eine UEbersetzung einer deutschen Originalausgabe.
Die UEbersetzung wurde mit Hilfe von kunstlicher Intelligenz
(maschinelle UEbersetzung durch den Dienst DeepL.com) erstellt.
Eine anschliessende menschliche UEberarbeitung erfolgte vor allem
in Bezug auf den Inhalt, so dass sich das Buch stilistisch anders
liest als eine herkoemmliche UEbersetzung.
Dieses Buch ist aus dem Bedurfnis entstanden, Studierenden ohne
Informatik-Vorkenntnissen einen bestmoglichen Zugang zum
Programmieren zu bieten. Entsprechend beginnen die Autoren auf
bewusst niedrigem Niveau, schaffen es aber, im Laufe des wunderbar
verstandlich geschriebenen Buchs ein fundiertes Wissen uber Java
und Objektorientierte Programmierung zu vermitteln. Die Autoren
legen Wert darauf, Programmieren nicht nur als das Schreiben
syntaktisch korrekter Programme zu lehren, sondern auch die
Philosophie der Programmierung und den Einstieg in die
Objektorientiertheit zu vermitteln."
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