Recent Advances In Stochastic Operations Research

Recent Advances In Stochastic Operations Research
Author: Shunji Osaki
Publisher: World Scientific
Total Pages: 325
Release: 2007-01-18
Genre: Business & Economics
ISBN: 9814478385

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.

Recent Advances in Stochastic Operations Research

Recent Advances in Stochastic Operations Research
Author: Tadashi Dohi
Publisher: World Scientific
Total Pages: 325
Release: 2007
Genre: Business & Economics
ISBN: 9812706682

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
Author: Tadashi Dohi
Publisher: World Scientific
Total Pages: 312
Release: 2009
Genre: Business & Economics
ISBN: 9812791671

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.

Stochastic Processes and Models in Operations Research

Stochastic Processes and Models in Operations Research
Author: Anbazhagan, Neelamegam
Publisher: IGI Global
Total Pages: 359
Release: 2016-03-24
Genre: Business & Economics
ISBN: 1522500456

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.

Recent Development In Stochastic Dynamics And Stochastic Analysis

Recent Development In Stochastic Dynamics And Stochastic Analysis
Author: Jinqiao Duan
Publisher: World Scientific
Total Pages: 306
Release: 2010-02-08
Genre: Mathematics
ISBN: 981446760X

Stochastic dynamical systems and stochastic analysis are of great interests not only to mathematicians but also to scientists in other areas. Stochastic dynamical systems tools for modeling and simulation are highly demanded in investigating complex phenomena in, for example, environmental and geophysical sciences, materials science, life sciences, physical and chemical sciences, finance and economics.The volume reflects an essentially timely and interesting subject and offers reviews on the recent and new developments in stochastic dynamics and stochastic analysis, and also some possible future research directions. Presenting a dozen chapters of survey papers and research by leading experts in the subject, the volume is written with a wide audience in mind ranging from graduate students, junior researchers to professionals of other specializations who are interested in the subject.

Recent Advances in Financial Engineering

Recent Advances in Financial Engineering
Author: Masaaki Kijima
Publisher: World Scientific
Total Pages: 243
Release: 2009
Genre: Business & Economics
ISBN: 9814273473

This volume contains the proceedings of the 2008 Daiwa International Workshop on Financial Engineering held in Tokyo. The annual workshop is sponsored by the Daiwa Securities Group, and serves as a bridge between leading academics and practitioners in the field. This year, the papers presented at the workshop have been refereed and published in a single volume to commemorate the 60th birthday of Professor Yuri Kabanov, and to thank him for his contributions to the progress of mathematical finance in general, and the Daiwa International Workshop in particular. The book caters to academics and practitioners as well as graduate and postgraduate students of financial engineering. Quantitative researchers on financial markets will also find it a useful resource.

Stochastic Reliability and Maintenance Modeling

Stochastic Reliability and Maintenance Modeling
Author: Tadashi Dohi
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2013-04-18
Genre: Technology & Engineering
ISBN: 1447149718

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.

Reliability Modeling With Applications: Essays In Honor Of Professor Toshio Nakagawa On His 70th Birthday

Reliability Modeling With Applications: Essays In Honor Of Professor Toshio Nakagawa On His 70th Birthday
Author: Syouji Nakamura
Publisher: World Scientific
Total Pages: 379
Release: 2013-12-12
Genre: Technology & Engineering
ISBN: 9814571954

Reliability modeling has been a major concern for engineers and managers engaged in high quality system designs. This book presents the recent advancement in reliability theory and reliability engineering.Starting from maintenance policies, the book introduces reliability analysis to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques of reliability are applied to solve optimization problems in computer, information and network systems.

Advanced Computer Science and Information Technology

Advanced Computer Science and Information Technology
Author: G.S. Tomar
Publisher: Springer
Total Pages: 205
Release: 2010-09-10
Genre: Computers
ISBN: 3642133460

Advanced Science and Technology, Advanced Communication and Networking, Information Security and Assurance, Ubiquitous Computing and Multimedia Appli- tions are conferences that attract many academic and industry professionals. The goal of these co-located conferences is to bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of advanced science and technology, advanced communication and networking, information security and assurance, ubiquitous computing and m- timedia applications. This co-located event included the following conferences: AST 2010 (The second International Conference on Advanced Science and Technology), ACN 2010 (The second International Conference on Advanced Communication and Networking), ISA 2010 (The 4th International Conference on Information Security and Assurance) and UCMA 2010 (The 2010 International Conference on Ubiquitous Computing and Multimedia Applications). We would like to express our gratitude to all of the authors of submitted papers and to all attendees, for their contributions and participation. We believe in the need for continuing this undertaking in the future. We acknowledge the great effort of all the Chairs and the members of advisory boards and Program Committees of the above-listed events, who selected 15% of over 1,000 submissions, following a rigorous peer-review process. Special thanks go to SERSC (Science & Engineering Research Support soCiety) for supporting these - located conferences.

Constructive Computation in Stochastic Models with Applications

Constructive Computation in Stochastic Models with Applications
Author: Quan-Lin Li
Publisher: Springer Science & Business Media
Total Pages: 693
Release: 2011-02-02
Genre: Mathematics
ISBN: 364211492X

"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.