Computational Intelligence in Logistics and Supply Chain Management

Thomas Hanne received master's degrees in Economics and Computer Science, and a PhD in Economics. From 1999 to 2007 he worked at the Fraunhofer Institute for Industrial Mathematics (ITWM) as senior scientist. Since then he is Professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland and Head of Competence Center Systems Engineering since 2012. Thomas Hanne is author of about 80 journal and conference articles and editor of several journals and special issues. His current research interests include multicriteria decision analysis, evolutionary algorithms, metaheuristics, optimization, simulation, logistics, and supply chain management.Rolf Dornberger is the head of the Institute for Information Systems, School of Business, University of Applied Sciences and Arts Northwestern Switzerland FHNW (since 2007) and the head of the competence centers New Trends & Innovation (since 2013) and Technology, Organization & People (since 2014) and was head of the competence center Systems Engineering (2006 - 2010). In 2002, he was appointed associate professor and, in 2003, full professor for Information Systems at the University of Applied Sciences and Arts Northwestern Switzerland FHNW or rather at its predecessor the University of Applied Sciences Solothurn Switzerland. Additionally, he was a part-time lecturer and visiting professor at the University of Stuttgart and the University of Applied Sciences Zurich. Before returning to academy, he worked in industry in different management positions as a consultant, IT officer and senior researcher in different engineering, technology and IT companies in the field of power generation systems and IT solutions for the airline business. He holds a PhD (1998) and a Diploma degree in Aerospace Engineering (1994). His current research interests include computational intelligence, optimization, innovation and technology management, and new trends and innovations.

• Introduction to Logistics and Supply Chain Management.- Computational Intelligence.- Transportation Problems.- Inventory Planning and Lot-Sizing.- Scheduling.- Location Planning and Network Design.- Intelligent Software for Logistics.