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This book is dedicated to Prof. Dr. Heinz Gerhäuser on the occasion of his retirement both from the position of Executive Director of the Fraunhofer Institute for Integrated Circuits IIS and from the Endowed Chair of Information Technologies with a Focus on Communication Electronics (LIKE) at the Friedrich-Alexander-Universität Erlangen-Nürnberg. Heinz Gerhäuser's vision and entrepreneurial spirit have made the Fraunhofer IIS one of the most successful and renowned German research institutions. He has been Director of the Fraunhofer IIS since 1993, and under his leadership it has grown to become the largest of Germany's 60 Fraunhofer Institutes, a position it retains to this day, current...
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This book gathers papers presented at the Logistik-Management-Konferenz 2013, which was organized by the VHB Wissenschaftliche Kommission Logistik and held in Bremen, Germany. The papers reflect the current state-of-the-art in logistics and supply chain management, focusing on environmental sustainability in logistics and supply chain network dynamics and control. The target audience primarily consists of researchers and practitioners in the field, but the book may also be beneficial for graduate students.
The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design patterns, knowledge patterns, and linked data patterns: the patterns as they are known by ontology designers, knowledge engineers, and linked data publishers, respectively. A key characteristic of those patterns is that they are modular and reusable solutions to recurrent problems in ontology engineering and linked data publishing. This book contains recent contributions which advance the state of the art on theory and use of ontology design patterns. The papers collected in this book cover a range of topics, from a method to instantiate content patterns, a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations.
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
Im Zuge der fortschreitenden Digitalisierung transformieren sich nicht nur die Geschäftsmodelle von Unternehmen, sondern auch klassische Wertschöpfungsnetzwerke (Supply Chains) sollen hin zu digitalen Wertschöpfungsnetzwerken (sog. Digital Supply Chains) transformiert werden. Dabei ändern sich nicht nur die Prozesse, sondern auch die Strukturen in und von Wertschöpfungsnetzwerken fundamental. In Verbindung mit datengetriebenen Produkten und Services entstehen komplexe Produkt-Service-Bündel, die in weitaus umfassenderen Ökosystemen erbracht werden. Bisherige Rollen und Akteure wandeln sich, wodurch sich die Wettbewerbslandschaft grundlegend verändert. An diesem Gedanken setzt die Dissertation von Meike Stradtmann an. Sie untersucht den industriell geprägten Mittelstand in digitalen Wertschöpfungsnetzwerken mit Blick auf die aktuelle Umsetzung, zentrale Herausforderungen, Anforderungen und Gestaltungsmöglichkeiten. Im Ergebnis leitet die Autorin evidenzbasierte Handlungsempfehlungen ab und liefert dadurch einen wesentlichen Erkenntnisbeitrag für die Forschung und die Praxis.