Modelle und L sungsverfahren f r die Hauptoperationsplanung bei unsicheren Operationsdauern

Author: Alexander Kressner
Publisher: Springer-Verlag
ISBN: 3658245921
Format: PDF, ePub
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Alexander Kressner schlägt für die mittelfristige Hauptoperationsplanung in einem Krankenhaus stochastische Optimierungsmodelle vor, mit denen Operationspläne unter Berücksichtigung unsicherer Operationsdauern berechnet werden können. Durch die Entwicklung von linearen Approximationsmodellen und dekomponierenden Lösungsverfahren lassen sich Probleminstanzen in praxisrelevanter Größenordnung lösen. Die vorgestellten Modell- und Lösungskonzepte sind flexibel um weitere Problemaspekte erweiterbar und eignen sich somit als Grundlage für ein Entscheidungsunterstützungssystem in Krankenhäusern für die Operationsplanung.

Risk Management in Stochastic Integer Programming

Author: Frederike Neise
Publisher: Springer Science & Business Media
ISBN: 3834895369
Format: PDF, Kindle
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The author presents two concepts to handle the classic linear mixed-integer two-stage stochastic optimization problem. She describes mean-risk modeling and stochastic programming with first order dominance constraints. Both approaches are applied to optimize the operation of a dispersed generation system.

Modeling and Optimization Theory and Applications

Author: Luis F. Zuluaga
Publisher: Springer Science & Business Media
ISBN: 1461489873
Format: PDF, Docs
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This volume contains a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference (MOPTA) held at Lehigh University in Bethlehem, Pennsylvania, USA on July 30-August 1, 2012. The conference brought together a diverse group of researchers and practitioners, working on both theoretical and practical aspects of continuous or discrete optimization. Topics presented included algorithms for solving convex, network, mixed-integer, nonlinear, and global optimization problems, and addressed the application of optimization techniques in finance, logistics, health, and other important fields. The contributions contained in this volume represent a sample of these topics and applications and illustrate the broad diversity of ideas discussed at the meeting.

Revenue Management Ansatz f r eine Annahmesteuerung kundenspezifischer Regenerationsauftr ge komplexer Investitionsg ter

Author: Felix Herde
Publisher: Springer-Verlag
ISBN: 3658207302
Format: PDF, Mobi
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Felix Herde entwickelt eine Steuerung für die Annahme und Einplanung von unsicheren und heterogenen Aufträgen im Kontext der Regeneration komplexer Investitionsgüter. Diese ermöglicht es, die unflexiblen Kapazitäten des Regenerationsnetzwerks sowie die begrenzten Lagerbestände effizient zu nutzen. Dazu entwickelt der Autor mathematische Entscheidungsmodelle, mit denen sich einerseits die Bid-Preise der Kapazitäten sowie der Lagerteile bestimmen lassen. Andererseits dienen die Modelle in den Steuerungsalgorithmen der simultanen Annahme- und Einplanungsentscheidung. Der Optimierungsansatz demonstriert eine hohe Lösungsgüte und gewährleistet, die anspruchsvollen Kundenanforderungen zu erfüllen.

Linear Programming

Author: Robert J Vanderbei
Publisher: Springer Science & Business Media
ISBN: 9780387743882
Format: PDF, Mobi
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This Third Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. You’ll discover a host of practical business applications as well as non-business applications. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered. The book’s accompanying website includes the C programs, JAVA tools, and new online instructional tools and exercises.

Linear Programming and Generalizations

Author: Eric V. Denardo
Publisher: Springer Science & Business Media
ISBN: 9781441964915
Format: PDF, ePub, Mobi
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This book on constrained optimization is novel in that it fuses these themes: • use examples to introduce general ideas; • engage the student in spreadsheet computation; • survey the uses of constrained optimization;. • investigate game theory and nonlinear optimization, • link the subject to economic reasoning, and • present the requisite mathematics. Blending these themes makes constrained optimization more accessible and more valuable. It stimulates the student’s interest, quickens the learning process, reveals connections to several academic and professional fields, and deepens the student’s grasp of the relevant mathematics. The book is designed for use in courses that focus on the applications of constrained optimization, in courses that emphasize the theory, and in courses that link the subject to economics.

Nonlinear Multiobjective Optimization

Author: Kaisa Miettinen
Publisher: Springer Science & Business Media
ISBN: 9780792382782
Format: PDF, Mobi
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Problems with multiple objectives and criteria are generally known as multiple criteria optimization or multiple criteria decision-making (MCDM) problems. So far, these types of problems have typically been modelled and solved by means of linear programming. However, many real-life phenomena are of a nonlinear nature, which is why we need tools for nonlinear programming capable of handling several conflicting or incommensurable objectives. In this case, methods of traditional single objective optimization and linear programming are not enough; we need new ways of thinking, new concepts, and new methods - nonlinear multiobjective optimization. Nonlinear Multiobjective Optimization provides an extensive, up-to-date, self-contained and consistent survey, review of the literature and of the state of the art on nonlinear (deterministic) multiobjective optimization, its methods, its theory and its background. The amount of literature on multiobjective optimization is immense. The treatment in this book is based on approximately 1500 publications in English printed mainly after the year 1980. Problems related to real-life applications often contain irregularities and nonsmoothnesses. The treatment of nondifferentiable multiobjective optimization in the literature is rather rare. For this reason, this book contains material about the possibilities, background, theory and methods of nondifferentiable multiobjective optimization as well. This book is intended for both researchers and students in the areas of (applied) mathematics, engineering, economics, operations research and management science; it is meant for both professionals and practitioners in many different fields of application. The intention has been to provide a consistent summary that may help in selecting an appropriate method for the problem to be solved. It is hoped the extensive bibliography will be of value to researchers.

Linear and Nonlinear Programming

Author: David G. Luenberger
Publisher: Springer Science & Business Media
ISBN: 0387745025
Format: PDF
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This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area, and will be required reading for analysts and operations researchers in a variety of fields. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods. The book also has a new co-author, Yinyu Ye of California’s Stanford University, who has written lots of extra material including some on Interior Point Methods.