Wiley Encyclopedia Of Operations Research And Management Science Volume Seven
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Encyclopedia of Operations Research and Management Science
Author: Saul I. Gass
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Operations Research: 1934-1941," 35, 1, 143-152; "British The goal of the Encyclopedia of Operations Research and Operational Research in World War II," 35, 3, 453-470; Management Science is to provide to decision makers and "U. S. Operations Research in World War II," 35, 6, 910-925; problem solvers in business, industry, government and and the 1984 article by Harold Lardner that appeared in academia a comprehensive overview of the wide range of Operations Research: "The Origin of Operational Research," ideas, methodologies, and synergistic forces that combine to 32, 2, 465-475. form the preeminent decision-aiding fields of operations re search and management science (OR/MS). To this end, we The Encyclopedia contains no entries that define the fields enlisted a distinguished international group of academics of operations research and management science. OR and MS and practitioners to contribute articles on subjects for are often equated to one another. If one defines them by the which they are renowned. methodologies they employ, the equation would probably The editors, working with the Encyclopedia's Editorial stand inspection. If one defines them by their historical Advisory Board, surveyed and divided OR/MS into specific developments and the classes of problems they encompass, topics that collectively encompass the foundations, applica the equation becomes fuzzy. The formalism OR grew out of tions, and emerging elements of this ever-changing field. We the operational problems of the British and U. s. military also wanted to establish the close associations that OR/MS efforts in World War II.
The Monte Carlo Simulation Method for System Reliability and Risk Analysis
Author: Enrico Zio
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-11-02
Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling. Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced to provide the practical value of the most advanced techniques. This detailed approach makes The Monte Carlo Simulation Method for System Reliability and Risk Analysis a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations.
Advanced Workshop And Tutorials On Operations Research (AWTOR-2012)
Author: Nagarajan Krishnamurthy
language: en
Publisher: Allied Publishers
Release Date: 2014-06-17
ORSI Ahmedabad chapters has taken the initiatives to conduct an annual conference focusing on theory and practice of operational Research in the Indian context. These conferences are named as Management Science and practice (MSP). The peer review edition proceedings of the conference are published for wider dissemination. The 5th edition of MSP was held at IIM Indore in August 2012. This event was attended by about 50 scholars. A dozen invited presentations from eminent academicians formed the core academic program. The edited proceedings are presented in this volume.