Logistics lies at the heart of modern economies. From the steel factories of Pennsylvania to the port of Singapore, from Nicaraguan banana fields to the postal delivery and solid waste collection companies in any region around the world, almost every organization faces the common problem of getting the right materials to the right place at the right time. Indeed, the fierce competition in today’s markets has made it imperative to manage logistics systems more and more efficiently. In this context, quantitative methods have proved able to achieve remarkable savings. This textbook has grown from a number of undergraduate and graduate courses on logistics that we have taught to engineering, computer science and management science students. The goal of these courses is to give students a solid understanding of the analytical tools necessary to reduce costs and improve the service level in logistics systems. The lack of a suitable textbook had forced us in the past to make use of a number of monographs and scientific papers which tend to be beyond the level of most students. We therefore committed ourselves to developing a quantitative textbook written at a level accessible to most students. In 2004 we published with Wiley a book entitled Introduction to Logistics Systems Planning and Control, which was widely used in several universities throughout the world. The 2004 edition of the book received the Roger- Charbonneau award from HEC Montr´eal as the best pedagogical textbook of the year. In view of this success, we proceeded to prepare a substantially revised edition now entitled Introduction to Logistics Systems Management. This new edition puts more emphasis on the organizational context in which logistics systems operate. It also covers several new results and techniques that have arisen in the field of logistics over the past decade. This book targets an academic as well a practitioner audience. On the academic side, it should be appropriate for advanced undergraduate and graduate courses in logistics and supply chain management. It should also serve as a methodological reference for practitioners in consulting as well as in industry. We make the assumption that the reader is familiar with the basics of operations research and statistics, and we provide a balanced treatment of forecasting, logistics system design, warehouse management and freight transport management. In our text, every topic is illustrated by a numerical example so that the reader can check his or her understanding of each concept before moving on to the next one. We provide at the end of each chapter case studies taken from the scientific literature, which illustrate the use of quantitative methods for solving complex logistics decision problems. Finally, every chapter ends with an exhaustive set of exercises.