Filling a void for a balanced approach to spreadsheet based decision modeling, this volume builds on the traditions and strengths of Render and Stair's Quantitative Methods for Management, a recognized and proven leader in teaching decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors teach how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations.
The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment, and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models.
For anyone looking for a balanced approach to spreadsheet based decision modeling.
Prentice Hall Decision Science has a long history of publishing market-defining, leading- edge textbooks. This proud tradition continues with this exciting new edition of Balakrishnan/Render/Stair’s Managerial Decision Modeling with Spreadsheets, 2nd Edition. In this spreadsheet modeling text the authors first discuss the algebraic model so that the student can understand the logic and rationale behind the decision model. The spreadsheet implementation then closely follows the algebraic model for ease of understanding.
Balakrishnan, Render and Stair continue to set the standard with:
- Increased Quantity and Range of End-of-Chapter Exercises and Problems — Many of these exercises and problems include multi-part questions, providing a richer pool of questions from which to select, and making them better suited to a computer-based solution environment.
- Inclusion of Several New Decision Models — Now includes coverage of new decision models such as make-buy problems and allocation problems (in Linear Programming), min-max and max-min problems (in Network Models), set covering problems (in Binary Integer Programming), and additive decomposition problems (in Forecasting).
- Expanded discussions in the following topical areas —Simulation, Regression, LP Formulation, Integer and Nonlinear Programming, and Utility Theory.
More information about this text and our entire list can be found on the web at www.prenhall.com/decisionscience.
Bookstores: To order this text, please use this isbn 013-226806-X.
Please contact your PH Rep for more packaging information or visit us on the web at www.prenhall.com/decisionscience
Students: Additional resources to enhance your understanding of the text material may be found on the text website at www.prenhall.com/balakrishnan.
