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 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 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.

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."