The purpose of this book is to provide readers with an introduction to the fields of decision making, location analysis, and project and machine scheduling. The combination of these topics is not an accident: decision analysis can be used to investigate decision seenarios in general, location analysis is one of the prime examples of decision making on the strategic Ievel, project scheduling is typically concemed with decision making on the tactical Ievel, and machine scheduling deals with decision making on the operational Ievel. Some of the chapters were originally contributed by different authors, and we have made every attempt to unify the notation, style, and, most importantly, the Ievel of the exposition. Similar to our book on Integer Programming and Network Models (Eiselt and Sandblom, 2000), the emphasis of this volume is on models rather than solution methods. This is particularly important in a book that purports to promote the science of decision making. As such, advanced undergraduate and graduate students, as weil as practitioners, will find this volume beneficial. While different authors prefer different degrees of mathematical sophistication, we have made every possible attempt to unify the approaches, provide clear explanations, and make this volume accessible to as many readers as possible.
|Publisher:||Springer Berlin Heidelberg|
|Edition description:||Softcover reprint of hardcover 1st ed. 2004|
|Product dimensions:||6.10(w) x 9.25(h) x 0.24(d)|
Table of ContentsNotation.- I: Analysis of Decision Making.- 1 Multicriteria Decision Making.- 2 Games Against Nature.- 3 Game Theory.- II: Location and Layout Decisions.- 1 Fundamentals of Location and Layout Problems.- 2 Location Models on Networks.- 3 Continuous Location Models.- 4 Other Location Models.- 5 Layout Models.- III: Project Scheduling.- 1 Unconstrained Time Project Scheduling.- 2 Project Scheduling with Resource Constraints.- IV: Machine Scheduling Models.- 1 Fundamentals of Machine Scheduling.- 2 Single Machine Scheduling.- 3 Parallel Machine Models.- 4 Dedicated Machine and Resource-Constrained Models.- References.