Julia Programming for Operations Research


Book Description

Last Updated: December 2020 Based on Julia v1.3+ and JuMP v0.21+ The main motivation of writing this book was to help the author himself. He is a professor in the field of operations research, and his daily activities involve building models of mathematical optimization, developing algorithms for solving the problems, implementing those algorithms using computer programming languages, experimenting with data, etc. Three languages are involved: human language, mathematical language, and computer language. His team of students need to go over three different languages, which requires "translation" among the three languages. As this book was written to teach his research group how to translate, this book will also be useful for anyone who needs to learn how to translate in a similar situation. The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems. With the great support from Julia developers, especially the developers of the JuMP—Julia for Mathematical Programming—package, Julia makes a perfect tool for students and professionals in operations research and related areas such as industrial engineering, management science, transportation engineering, economics, and regional science. For more information, visit: http://www.chkwon.net/julia




OPERATIONS RESEARCH, THIRD EDITION


Book Description

The third edition of this well-organized and comprehensive text continues to provide an in-depth coverage of the theory and applications of operations research. It emphasizes the role of operations research not only as an effective decision-making tool, but also as an essential productivity improvement tool to deal with real-world management problems. In the growing field of analytics, this text serves to have thorough understanding of the Operations Models that form constituents of the model base, which is a component of Decision Support System. This edition includes new carefully designed numerical examples that help in understanding complex mathematical concepts better. The book is an easy read, explaining the basics of operations research and discussing various optimization techniques such as • Overview of operations research • Queuing theory • Linear programming • Project management • Transportation problem • Decision theory • Assignment problem • Game theory • Network techniques • Production scheduling • Integer programming • Goal programming • Inventory control • Parametric linear programming • Dynamic programming • Nonlinear programming NEW TO THIS EDITION • Inclusion of more mathematical models in Chapter 2. • Incorporation of case studies in all the chapters to test the understanding, analysis, and provision solution for implementation of the concerned Operation Research techniques. • Introduction of a topic on ABC analysis in Chapter 7. • Access to Multiple Choice Questions with keys for each of the chapters as online resource materials. Visit: https://www.phindia.com/Operations_research_panneerselvam This book, with numerous pedagogical features, would be eminently suitable as a text for students of engineering, B.E/B.Tech (in specific mechanical, production, and industrial engineering), mathematics, statistics, and postgraduate students of management (MBA), industrial engineering and production engineering, data analytics, commerce, and computer applications (MCA).




OPERATIONS RESEARCH: PRINCIPLES AND PRACTICE, 2ND ED


Book Description

About The Book: This edition includes a new chapter on decision analysis, and additional material on computer solutions of linear programming problems, LP applications, the use of sensitivity analysis output, minimal spanning tree, goal programming, network of queues, and more. Throughout, mathematics is kept to an intermediate level.




Operations Research


Book Description

Operations Research: An Introduction 9/e continues to streamline the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts.




Operations Research


Book Description




OPTIMIZATION AND OPERATIONS RESEARCH – Volume II


Book Description

Optimization and Operations Research is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Optimization and Operations Research is organized into six different topics which represent the main scientific areas of the theme: 1. Fundamentals of Operations Research; 2. Advanced Deterministic Operations Research; 3. Optimization in Infinite Dimensions; 4. Game Theory; 5. Stochastic Operations Research; 6. Decision Analysis, which are then expanded into multiple subtopics, each as a chapter. These four volumes are aimed at the following five major target audiences: University and College students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.




Operations Research


Book Description

The author have used numerical examples as the means for presentation of the underlying ideas of different operations research techniques.Accordingly,a large number of comprehensive solved examples,taken from a variety of fields,have been added in every chapter and they are followed by a set of unsolved problems with answers(and hints wherever required)through which readers can test their understanding of the subject matter.The book,in its present form,contains around 650,examples,1,280 illustrative diagrams.




Operations research


Book Description




Operation Research


Book Description

Operations research is the fast developing branch of science which deals with the most of the engineering activities. It consist of many models which are used to obtain the optimum solution for different activities. Operations research is a procedure which is executed iteratively for comparing various solutions till the optimum or satisfactory solution is obtained. An important aspect of the optimal design process is the formulation of the problem in a mathematical format which is acceptable to an algorithm and thus find out the optimal solution. These techniques are extensively used in those engineering design problem where the emphasis is on maximising or minimising a certain goal. This book is the introduction to the different techniques in operations research. The subject does not require a high level of mathematical knowledge. Each chapter of the book have examples from variety of fields. Our hope is that this book, through its careful explanations of concepts, practical examples and techniques bridges the gap between knowledge and proper application of that knowledge.




Operations Research


Book Description

Students with diverse backgrounds will face a multitude of decisions in a variety of engineering, scientific, industrial, and financial settings. They will need to know how to identify problems that the methods of operations research (OR) can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop computational tools to solve the problems. Perfect for any one-semester course in OR, Operations Research: A Practical Introduction answers all of these needs. In addition to providing a practical introduction and guide to using OR techniques, it includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations. It provides a sound introduction to the mathematical models relevant to OR and illustrates the effective use of OR techniques with examples drawn from industrial, computing, engineering, and business applications. Many students will take only one course in the techniques of Operations Research. Operations Research: A Practical Introduction offers them the greatest benefit from that course through a broad survey of the techniques and tools available for quantitative decision making. It will also encourage other students to pursue more advanced studies and provides you a concise, well-structured, vehicle for delivering the best possible overview of the discipline.