This textbook provides an introduction to the concepts, methods, and results of scheduling theory. It is written for graduate students and advanced undergraduates who are studying scheduling, as well as for practitioners who are interested in the knowledge base on which modern scheduling applications have been built. Our goal is to enable the reader to delve into the research literature (or in some cases, the practice literature) with enough background to appreciate state-of-the-art contributions. For the reader who wants a more comprehensive link to the research literature than our text provides, we offer a set of Research Notes at this website.
We view scheduling theory as practical theory, and we have made sure to emphasize the practical aspects of our topic coverage. Thus, we provide algorithms that implement some of the solution concepts, and we introduce spreadsheet models to calculate solutions to scheduling problems. Especially when tackling stochastic scheduling problems, we must balance realism with tractability. Thus, we stress heuristics and simulation-based approaches when optimization methods and analytic tools fall short. We also provide many examples in the text along with computational exercises among our end-of-chapter problems.
Kenneth R. Baker, PhD, is the Nathaniel D’1906 & Martha E. Leverone Memorial Professor of Management at the Tuck School of Business at Dartmouth College. A Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), Dr. Baker has published extensively in his areas of research interest, which include mathematical modeling, spreadsheet engineering, and scheduling.
Dan Trietsch, PhD, MBA, BSME, is an independent researcher and consultant, currently focusing on project analytics. In the past he served as a professor of industrial engineering and taught various quantitative subjects at business schools. His publications cover topics such as network design, statistical quality control, and various aspects of scheduling.
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For research notes and text examples, please visit the first edition website.