Optimal Decision Making In Operations Research And Statistics PDF Download
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Author | : Irfan Ali |
Publisher | : CRC Press |
Total Pages | : 434 |
Release | : 2021-11-29 |
Genre | : Business & Economics |
ISBN | : 1000404722 |
Download Optimal Decision Making in Operations Research and Statistics Book in PDF, ePub and Kindle
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.
Author | : Katta G. Murty |
Publisher | : Springer |
Total Pages | : 543 |
Release | : 2017-04-30 |
Genre | : Business & Economics |
ISBN | : 9781493943555 |
Download Case Studies in Operations Research Book in PDF, ePub and Kindle
This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other organizations in which decision making is an important component of their daily operations. The book considers all methods of optimum decision making in order to improve performances. It also compares possible solutions obtained by different approaches, concluding with a recommendation of the best among them for implementation. By exposing students to a variety of applications in a variety of areas and explaining how they can be modeled and solved, the book helps students develop the skills needed for modeling and solving problems that they may face in the workplace. Each chapter of "Case Studies in Operations Research: Applications of Optimal Decision Making" also includes additional data provided on the book’s website on Springer.com. These files contain a brief description of the area of application, the problem and the required outputs. Also provided are links to access all the data in the problem. Finally there are project exercises for students to practice what they have learnt in the chapter, which can also be used by instructors as project assignments in their courses.
Author | : Wiesław Sadowski |
Publisher | : Pergamon |
Total Pages | : 308 |
Release | : 1965 |
Genre | : Business & Economics |
ISBN | : |
Download The Theory of Decision-making Book in PDF, ePub and Kindle
Operation research is methods which allow us to produce an optimum plan under given conditions. This book is intended to help the readers, especially economists and planners, to understand the basis of these methods ...
Author | : Steven Orla Kimbrough |
Publisher | : CRC Press |
Total Pages | : 308 |
Release | : 2018-09-03 |
Genre | : Business & Economics |
ISBN | : 1315362597 |
Download Business Analytics for Decision Making Book in PDF, ePub and Kindle
Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.
Author | : Institute for Operations Research and the Management Sciences. National Meeting |
Publisher | : INFORMS |
Total Pages | : 349 |
Release | : 2008 |
Genre | : Operations research |
ISBN | : 1877640239 |
Download Tutorials in Operations Research Book in PDF, ePub and Kindle
Author | : Fouad Sabry |
Publisher | : One Billion Knowledgeable |
Total Pages | : 104 |
Release | : 2024-06-22 |
Genre | : Political Science |
ISBN | : |
Download Operations Research Book in PDF, ePub and Kindle
What is Operations Research Operations research, often shortened to the initialism OR, is a discipline that deals with the development and application of analytical methods to improve decision-making. The term management science is occasionally used as a synonym. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Operations research Chapter 2: George Dantzig Chapter 3: Management science Chapter 4: System of systems Chapter 5: Social complexity Chapter 6: Computational science Chapter 7: Decision analysis Chapter 8: Analytic hierarchy process Chapter 9: David B. Hertz Chapter 10: Reuven Rubinstein (II) Answering the public top questions about operations research. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Operations Research.
Author | : Joao Luis de Miranda |
Publisher | : CRC Press |
Total Pages | : 263 |
Release | : 2021-12-24 |
Genre | : Business & Economics |
ISBN | : 1351778722 |
Download Introduction to Optimization-Based Decision-Making Book in PDF, ePub and Kindle
The large and complex challenges the world is facing, the growing prevalence of huge data sets, and the new and developing ways for addressing them (artificial intelligence, data science, machine learning, etc.), means it is increasingly vital that academics and professionals from across disciplines have a basic understanding of the mathematical underpinnings of effective, optimized decision-making. Without it, decision makers risk being overtaken by those who better understand the models and methods, that can best inform strategic and tactical decisions. Introduction to Optimization-Based Decision-Making provides an elementary and self-contained introduction to the basic concepts involved in making decisions in an optimization-based environment. The mathematical level of the text is directed to the post-secondary reader, or university students in the initial years. The prerequisites are therefore minimal, and necessary mathematical tools are provided as needed. This lean approach is complemented with a problem-based orientation and a methodology of generalization/reduction. In this way, the book can be useful for students from STEM fields, economics and enterprise sciences, social sciences and humanities, as well as for the general reader interested in multi/trans-disciplinary approaches. Features Collects and discusses the ideas underpinning decision-making through optimization tools in a simple and straightforward manner Suitable for an undergraduate course in optimization-based decision-making, or as a supplementary resource for courses in operations research and management science Self-contained coverage of traditional and more modern optimization models, while not requiring a previous background in decision theory
Author | : P. Ramamurthy |
Publisher | : New Age International |
Total Pages | : 22 |
Release | : 2007 |
Genre | : Mathematics |
ISBN | : 8122420699 |
Download Operations Research Book in PDF, ePub and Kindle
Author | : H. A. Eiselt |
Publisher | : Springer Science & Business Media |
Total Pages | : 455 |
Release | : 2010-05-17 |
Genre | : Business & Economics |
ISBN | : 364210326X |
Download Operations Research Book in PDF, ePub and Kindle
Since the 1960s, operations research (or, alternatively, management science) has become an indispensable tool in scientific management. In simple words, its goal on the strategic and tactical levels is to aid in decision making and, on the operational level, automate decision making. Its tools are algorithms, procedures that create and improve solutions to a point at which optimal or, at least, satisfactory solutions have been found. While many texts on the subject emphasize methods, the special focus of this book is on the applications of operations research in practice. Typically, a topic is introduced by means of a description of its applications, a model is formulated and its solution is presented. Then the solution is discussed and its implications for decision making are outlined. We have attempted to maximize the understanding of the topics by using intuitive reasoning while keeping mathematical notation and the description of techniques to a minimum. The exercises are designed to fully explore the material covered in the chapters, without resorting to mind-numbing repetitions and trivialization.
Author | : Katta G. Murty |
Publisher | : Springer Science & Business Media |
Total Pages | : 502 |
Release | : 2010-03-14 |
Genre | : Mathematics |
ISBN | : 1441912916 |
Download Optimization for Decision Making Book in PDF, ePub and Kindle
Linear programming (LP), modeling, and optimization are very much the fundamentals of OR, and no academic program is complete without them. No matter how highly developed one’s LP skills are, however, if a fine appreciation for modeling isn’t developed to make the best use of those skills, then the truly ‘best solutions’ are often not realized, and efforts go wasted. Katta Murty studied LP with George Dantzig, the father of linear programming, and has written the graduate-level solution to that problem. While maintaining the rigorous LP instruction required, Murty's new book is unique in his focus on developing modeling skills to support valid decision making for complex real world problems. He describes the approach as 'intelligent modeling and decision making' to emphasize the importance of employing the best expression of actual problems and then applying the most computationally effective and efficient solution technique for that model.