Popular Books on Optimization Modeling

This classic, best-selling text has been updated to include more examples and many new problems and applications, based on a market research survey of users and nonusers. The tutorial software available with the book has been revised and improved. Exceptionally clear in its presentation, this book offers comprehensive coverage of operations research, along with realistic examples and problems.

Contents include an overview of the operations research modeling approach, an introduction to linear programming, the theory of the simplex method, network optimization models, nonlinear programming, decision analysis, and more.

The CD that comes with the book contains the student version of MPL Modeling System and the CPLEX solver, the MPL On-line Tutorial, and relevant examples from the text modeled in MPL.

Forward thinking in approach, this book emphasizes model-formulation and model-building skills. Winston includes material for a three-semester course, organized into self-contained units that provide flexibility in selecting material. Requiring a background in calculus, linear algebra, and statistics, Operations Research offers comprehensive coverage for applications-oriented courses in linear or mathematical programming and stochastic and probabilistic models and processes at the undergraduate and graduate level.

Emphasizes model-formulation and model-building skills as well as interpretation of computer software output. Includes over 200 examples of models many of which have been formulated in MPL and are available as a part of the MPL Model Library.

This book discusses the general principles of model building in mathematical programming and shows how they can be applied by using simplified but practical problems in management science and operations research. Suggested formulations and solutions are given the latter part of the book together with computational experience to give the reader a feel for the computation difficulty of solving that particular type of model.

Aimed at undergratuates, postgraduates, research students and managers, this book illustrates the scope and limitations of mathematical programming, and shows how it can be applied to real situations. By emphasizing the importance of the building and interpretation of models rather than the solution process, the author attempts to fill a gap left by the many works which concentrate on the algorithmic side of the subject.

Self-contained and extremely practical, VBA for Modelers guides you in developing customized decision support systems for the important business problems you face. The book gives students and professionals the ability to integrate spreadsheet models with the power and flexibility of Microsoft Excel's Visual Basic for Applications (VBA).

The first half of the book is a helpful primer, which covers the basics of VBA. Following the primer, you will learn how VBA and Excel can be used to create specific decision support applications based upon those found in the best-selling Practical Management Science, such as: Employee scheduling, transportation logistics, capital budgeting, pricing american and european options, and portfolio optimization.

This book features a companion Web site that provides detailed explanations of the subprograms and releated information.

Winston and Albright's Practical Management Science, became a best-seller in spreadsheet-based management science courses in its First Edition. The Second Edition continues to build on their highly successful approach of teaching by example while using spreadsheets to model a wide variety of business problems. The authors show the relevance of topics through numerous examples of real-world implementation of management science.

This text is the ideal solution for people who want to teach by example and who want to solve real problems with spreadsheets and use professional spreadsheet add-ins. The authors use relatively simple examples including breakeven analysis and managerial economics to help students develop an intuition on how to use spreadsheets for modeling as well as showing the benefits of this approach. Many new examples are included from finance, marketing, and operations management. New add-ins provide students with the most up-to-date tools for solving problems.

Contents of the book, include linear programming models, network models, linear optimization models with integer variables, nonlinear optimization models, inventory models, queueing models, regression analysis, and more.

This textbook relies less on algorithmic rigor and more on practical relevance to business students. Relying heavily on case studies to provide a business context for their discussion, the authors have likewise made extensive use of Microsoft Excel, the tool of choice for business practitioners, to construct and analyze the models that the authors employ throughout. The authors believe that model formulation, to aid and support business decision making, lies at the heart of management science methodology. utilizing these three elements -- case studies, spreadsheets, and modeling -- the authors have devised an innovative approach to teaching management science that is truly relevant to today's business students.

Applications-oriented introduction to the role of management science in decision-making. Best-selling text in the market. Blends problem formulation, managerial interpretation, and math techniques with an emphasis on problem solving. Problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application.

''Management Science in Practice'' features demonstrate how techniques have been successfully applied by companies like Kodak and Upjohn. ''Management Science in Action'' vignettes, new to this edition, provide brief overviews of how chapter material has been used successfully in practice. Unique ''Notes & Comments'' sections provide warnings, limitations, recommended applications, and other tips.

Extensive linear programming coverage includes problem formulation, computer solution, and practical application. Text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line problems, simulation, and decision analysis. Large selection of problems includes self-test problems with complete solutions and 20 case problems. Spreadsheet appendices added to this edition.

This text focuses on developing a smooth interface between the mathematical modeling and the spreadsheet modeling approaches. Contemporary Management Science with Spreadsheets covers the core topics in Management Science in only 10 chapters.

Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology. Born in Elmira New York he earned his B.S. degree at Clarkson University. He did his graduate work at Rensselaer Polytechnic Institute where he received his M.S. and Ph.D. degrees.

This book provides a unified, insightful, and modern treatment of linear optimization, that is, linear programming, network flow problems, and discrete optimization. It includes classical topics as well as the state of the art, in both theory and practice.

A text/CD-ROM package providing an introduction to the most commonly used management science techniques, showing how these tools can be implemented using Microsoft Excel. Unique features include use of algebraic formulations and spreadsheets together to develop conceptual thinking, emphasis on model formulation and interpretation rather than algorithms, and realistic examples with step-by-step instructions. Includes chapter questions, problems, and cases. The CD-ROMs contain trial and full versions of software, plus spreadsheet files. This edition offers new discussions of data envelopment analysis, genetic algorithms, simulation, and sensitivity analysis techniques. For students familiar with basic Windows and spreadsheet concepts.

Cliff Ragsdale is an innovator of the spreadsheet teaching revolution and is highly regarded in the field of management science. This new edition of Spreadsheet Modeling and Decision Analysis provides instruction in the most commonly used management science techniques and shows how these tools can be implemented using the most current version of Microsoft Excel for Windows. This text also focuses on developing both algebraic and spreadsheet modeling skills.

A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.

Bringing together the classicand the contemporary aspects of the field, this comprehensive introduction to network flowsprovides an integrative view of theory,algorithms, and applications. It offers in-depth and self-contained treatmentsof shortest path, maximum flow, and minimum costflow problems, including a description of new andnovel polynomial-time algorithms for these coremodels. For professionals workingwith network flows, optimization, and networkprogramming.

In real-world problems related to finance, business, and management, mathematicians and economists frequently encounter optimization problems. First published in 1963, this classic work looks at a wealth of examples and develops linear programming methods for solutions. Treatments covered include price concepts, transportation problems, matrix methods, and the properties of convex sets and linear vector spaces.

George B. Dantzig is Professor Emeritus in the Department of Engineering-Economic Systems and Operations Research at Stanford University.

This book provides a comprehensive introduction to linear programming which encompasses all the major topics students will encounter in courses on the subject. The authors aim to teach both the underlying mathematical foundations and how these ideas are implemented in practice. The book illustrates all the concepts with both worked examples and plenty of exercises. In addition, Windows software is provided with the book so that students can try out numerical methods using the examples and exercises and hone their skills in interpreting the results. As a result, this will make an ideal textbook for all those coming to the subject for the first time. Authors'note: A problem recently found with the software is due to a bug in Formula One, the third party commercial software package that was used for the development of the interface. It occurs when the date currency, etc. format is set to a non-United States version. Please try setting your computer date/currency option to the United States. The new version of Formula One, when ready, will be posted on WWW.

Provides a simple introduction to the various tools - models, algorithms, and software in the context of linear programming. Covers simplex and interior-point methods, duality, equivalent formulations, network flow theory and linear algebra and linear equations. CD ROM included. DLC: Linear programming.

The focus of this book is on using data and spreadsheet models effectively for the analysis of business problems and decision making. Included are discussions of building good spreadsheet models; data collection, visualization, and statistical analysis; forecasting; optimization using Excel Solver; decision and risk analysis; and simulation using Crystal Ball add-in for Excel and Arena BE. The principal focus is on gaining insight and intuition for better decisions, with applications in operations planning, finance, and marketing.

Nice text for advanced undergraduates and beginning graduate students provides review, from the viewpoint of "operations research" and its (diverse) applications, of graph theory, linear programming, stochastic processes and dynamic programming, and of related material. The seven chapters are punctuated at frequent intervals by examples, and terminate with long lists of exercises. Clearly written, cleanly produced and useful, with essential references.

This text may be used in a required or elective quantitative analysis course at the Junior level or first year MBA. It also may be used for an elective course in Modeling and Analysis, Decision Sciences or Management Science.

A major new feature of the book is the use of the Excel speadsheet throughout. It is a very spreadsheet friendly text. Model building, Mathematical Programming (using Excel Solver), Simulation, and other spreadsheet applications are included.

As indicated, the book was revised in a modular format for custom publishing options. Chapters are self contained. Sections of the book, or individual chapters from other books using Irwin/McGraw Hill custom publishing options.

Murty's study of optimization methods and applications has a two-fold objective: (1) to present techniques for and examples of modeling various real-world decision-making problems using appropriate mathematical models, and (2) to present a comprehensive treatment of the various types of algorithms to solve a wide variety of programming models, with explanations of how each algorithm works and what useful conclusions can be drawn from its output.

A comprehensive, up-to-date text on linear programming. Covers all practical modeling, mathematical, geometrical, algorithmic, and computational aspects. Surveys recent developments in the field, including the Ellipsoid method. Includes extensive examples and exercises. Designed for advanced undergraduates or graduates majoring in engineering, mathematics, or business administration.

Linear programming is an extremely effective problem-solving tool, with applications in business, agriculture, government, manufacturing, transportation, engineering and many other areas. This very readable book presents an elementary introduction to linear programming in a refreshing, often humorous style. Requiring no math beyond high-school algebra, the book shows how linear programming can help anyone reach the optimum solution for a host of diverse problems.

A text/CD-ROM package with a practical rather than theoretic orientation, for students majoring in business, finance, marketing, and operations management. Illustrates different types of statistical methods for analyzing data sets, focusing on analytical methods that are useful in decision making. Material is example-driven and spreadsheet-based, with virtually no emphasis on hand (or hand calculator) calculations. Includes chapter problems and case studies. The CD-ROM contains Microsoft Excel's DecisionTools Suite.

In response to the growing market trend in quantitative education, Albright, Winston, and Zappe's integrated business-statistics and management- science text presents core statistics and management-science methods in a modern, unified spreadsheet-oriented approach. With a focus on analyzing, not on techniques, the book covers business statistics with some essential managerial- science topics included.