Recent Advances in Stochastic Operations Research

Recent Advances in Stochastic Operations Research PDF Author: Tadashi Dohi
Publisher: World Scientific
ISBN: 9812706682
Category : Business & Economics
Languages : en
Pages : 325

Get Book

Book Description
Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25OCo26, 2005, Canmore, Alberta, Canada. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models."

Recent Advances in Stochastic Operations Research

Recent Advances in Stochastic Operations Research PDF Author: Tadashi Dohi
Publisher: World Scientific
ISBN: 9812706682
Category : Business & Economics
Languages : en
Pages : 325

Get Book

Book Description
Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25OCo26, 2005, Canmore, Alberta, Canada. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models."

Recent Advances in Stochastic Operations Research II

Recent Advances in Stochastic Operations Research II PDF Author: Tadashi Dohi
Publisher: World Scientific
ISBN: 9812791671
Category : Business & Economics
Languages : en
Pages : 312

Get Book

Book Description
Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models, inventory models, financial engineering models, reliability models, and simulation models. This book contains a collection of peer-reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (2007 RASOR Nanzan) held on March 5OCo6, 2007, at Nanzan University, Nagoya, Japan. It enables advanced readers to understand the recent topics and results in stochastic operations research.

Recent Advances in Stochastic Operations Research

Recent Advances in Stochastic Operations Research PDF Author: Tadashi Dohi
Publisher: World Scientific
ISBN: 9812567046
Category : Business & Economics
Languages : en
Pages : 325

Get Book

Book Description
Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers. Two key concepts in operations research are optimization and uncertainty. This volume consists of a collection of peer reviewed papers from the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25-26, 2005, Canmore, Alberta, Canada. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models, reliability models, and simulations models.

Stochastic Processes and Models in Operations Research

Stochastic Processes and Models in Operations Research PDF Author: Anbazhagan, Neelamegam
Publisher: IGI Global
ISBN: 1522500456
Category : Business & Economics
Languages : en
Pages : 338

Get Book

Book Description
Decision-making is an important task no matter the industry. Operations research, as a discipline, helps alleviate decision-making problems through the extraction of reliable information related to the task at hand in order to come to a viable solution. Integrating stochastic processes into operations research and management can further aid in the decision-making process for industrial and management problems. Stochastic Processes and Models in Operations Research emphasizes mathematical tools and equations relevant for solving complex problems within business and industrial settings. This research-based publication aims to assist scholars, researchers, operations managers, and graduate-level students by providing comprehensive exposure to the concepts, trends, and technologies relevant to stochastic process modeling to solve operations research problems.

Proceedings of International Workshop on Recent Advances in Stochastic Operations Research 2

Proceedings of International Workshop on Recent Advances in Stochastic Operations Research 2 PDF Author: 正·土肥
Publisher:
ISBN: 9784939146053
Category :
Languages : en
Pages : 346

Get Book

Book Description


Optimization of Stochastic Models

Optimization of Stochastic Models PDF Author: Georg Ch. Pflug
Publisher: Springer Science & Business Media
ISBN: 1461314496
Category : Business & Economics
Languages : en
Pages : 384

Get Book

Book Description
Stochastic models are everywhere. In manufacturing, queuing models are used for modeling production processes, realistic inventory models are stochastic in nature. Stochastic models are considered in transportation and communication. Marketing models use stochastic descriptions of the demands and buyer's behaviors. In finance, market prices and exchange rates are assumed to be certain stochastic processes, and insurance claims appear at random times with random amounts. To each decision problem, a cost function is associated. Costs may be direct or indirect, like loss of time, quality deterioration, loss in production or dissatisfaction of customers. In decision making under uncertainty, the goal is to minimize the expected costs. However, in practically all realistic models, the calculation of the expected costs is impossible due to the model complexity. Simulation is the only practicable way of getting insight into such models. Thus, the problem of optimal decisions can be seen as getting simulation and optimization effectively combined. The field is quite new and yet the number of publications is enormous. This book does not even try to touch all work done in this area. Instead, many concepts are presented and treated with mathematical rigor and necessary conditions for the correctness of various approaches are stated. Optimization of Stochastic Models: The Interface Between Simulation and Optimization is suitable as a text for a graduate level course on Stochastic Models or as a secondary text for a graduate level course in Operations Research.

Stochastic Reliability and Maintenance Modeling

Stochastic Reliability and Maintenance Modeling PDF Author: Tadashi Dohi
Publisher: Springer Science & Business Media
ISBN: 1447149718
Category : Technology & Engineering
Languages : en
Pages : 375

Get Book

Book Description
In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki. Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.

Constructive Computation in Stochastic Models with Applications

Constructive Computation in Stochastic Models with Applications PDF Author: Quan-Lin Li
Publisher: Springer Science & Business Media
ISBN: 364211492X
Category : Mathematics
Languages : en
Pages : 693

Get Book

Book Description
"Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable. Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.

Stochastic Models in Operations Research: Stochastic processes and operating characteristics

Stochastic Models in Operations Research: Stochastic processes and operating characteristics PDF Author: Daniel P. Heyman
Publisher: McGraw-Hill Companies
ISBN:
Category : Business & Economics
Languages : en
Pages : 568

Get Book

Book Description


Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search PDF Author: David L. Woodruff
Publisher: Springer Science & Business Media
ISBN: 1475728077
Category : Business & Economics
Languages : en
Pages : 315

Get Book

Book Description
Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.