Dynamics in Logistics. Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany.. Questo articolo non è disponibile.Dynamics in Logistics. Proceedings of the 5th International Conference LDIC, 2016 Bremen, Germany.

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization.

To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions.

<p>Michael Freitag is a Full Professor at the Faculty of Production Engineering, University of Bremen, Germany. He is also the Director of the Bremen Institute for Production and Logistics GmbH&nbsp;(BIBA). His research interests include planning and control of production and logistics processes, digitalization, Industry 4.0, and the automation of material flows via robots and flexible transportation systems.</p>Herbert Kotzab is a Full Professor at the Faculty of Business Studies and Economics, University of Bremen, Germany and an International Professor at the Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia. His research focuses on supply chain management, service operations and consumer driven value networks.<p></p>Nicole Megow is a Full Professor at the Faculty of Mathematics and Computer Science, University of Bremen, Germany. Her main research interests are in mathematical optimization in theory and practice, with a particular focus on combinatorial optimization, the design of efficient algorithms, and coping with uncertainty.<br>