Preface

摘要

While digital transformation and digital innovation are spreading the word and penetrating almost every business, logistics is still omnipresent. If we do not move freight or people, we move bits and bytes, or both or even everything together. We claim that the data is there, the technology is there, and we need to get our ideas and solution concepts into running systems. Whether we are emphasizing new buzzwords like mobility-as-a-service or synchromodality, or whether we are still using existing phrases like stowage planning or service network design, computational logistics is here to support these processes and make things better and better. We are solving classical combinatorial optimization problems related to, for instance, pickup and delivery, we are thinking about already established concepts of recent years such as e-mobility, and we are considering new concepts like autonomous vessels. But in all cases we appreciate the connection to computational tools for solving complex problems in logistics and supply chain management as well as public transport.