Klaus Ecker received his Ph.D. in Theoretical Physics from the University of Graz (Austria), and his habilitation in Computer Science from the University of Bonn (Germany). Since 1978 he is a professor at the Department of Computer Science of the Technical University of Clausthal (Germany), and from 2005 until 2009 he was visiting professor at the Ohio University (USA).

Erwin Pesch has Ph.D. in Mathematics and habilitation in Business Administration. He worked at universities in Darmstadt, Maastricht and Bonn. He is a professor at the Faculty of Economics and Business Administration of the University in Siegen (Germany) and director of the Center for Advanced Studies in Management (CASiM) at the HHL LeipzigGraduate School of Management (Germany). Together with Jacek B¿äewicz he received the Copernicus Prize in 2012 jointly awarded by the German Research Foundation (DFG) and the Foundation for Polish Science (FNP). In 2017 he received the Science Award of the German Operations Research Society (GOR).

Malgorzata Sterna is associate professor at the Faculty of Computing of the Poznan University of Technology (Poland), from which she received Ph.D. and habilitation in Computer Science. She is a recipient of the stipend of the Foundation for Polish Science and the award of the Polish Academy of Sciences (Technical Sciences).

Günter Schmidt is professor of Operations Research and Business Informatics at the Computer Science Department and the Business School at Saarland University (Germany). He is member of Graduate School for Computer Science, researcher at Max Planck Institut Informatik and director of the Institute of Information and Communication Systems. He is also honorary professor at the University of Cape Town (South Africa).

Jan W¿glarz is professor of Computing at the Poznä University of Technology (Poland), and director of the Poznä Supercomputing and Networking Center. He is co-laureate of the EURO Gold Medal and a recipient of the Foundation for Polish Science Award.

This book provides a theoretical and application-oriented analysis of deterministic scheduling problems arising in advanced planning and computer systems. The text examines specific scheduling problems across a range of parameters: job priority, release times, due dates, processing times, precedence constraints, resource usage and more, focusing on such topics as computer systems and supply chain management. Analysis and solutions are presented through polynomial and exponential time optimization algorithms as well as approximation and heuristic approaches. The book explores a variety of problems including single and parallel processors, flexible shops and manufacturing systems, and resource-constrained project scheduling.

Many applications from industry and service operations management and case studies are described. The handbook is an indispensable source for a broad audience, ranging from researchers to practitioners, graduate and advanced undergraduate students.