Quantitative Analysis for Management
Barry Render

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Intended for courses in Management Science or Quantitative Methods.This best-selling text has long been considered one of the most student accessible texts for the management science course. The new edition retains and updates the traditional, comprehensive coverage of past editions but fine tunes the coverage and adds many new examples and exercises. How do you motivate the chapter material? What types of elements do you look for to drive the concepts home for students? Rich Real-world ApplicationsModeling in the Real World boxes - Demonstrate the application of the quantitative analysis approach to every technique discussed in the book. Procedure boxes - Summarize the more complex quantitative techniques, presenting them as a series of easily understandable steps.Margin notes - Highlight the important topics in the text. History boxes - Provide interesting asides related to the development of techniques and the people who originated them.QA in Action boxes - Summarize published articles illustrating how real organizations have used quantitative analysis to solve problems. What type of problems do you assign? What resources help students review the concepts?Solved Problems - Serve as models for students in solving their own homework problems. Discussion Questions - Test students understanding of the concepts and definitions. Homework Problems are applications-oriented and test the students ability to solve exam-type problems. T - Provide problems that progress in level of difficulty: introductory (one bullet), moderate (two bullets), and challenging (three bullets). Internet Homework Problems - Provide additional problems for students to work on the companion Web site.Self Tests - Allow students to test their knowledge of important terms and concepts in preparation for quizzes and examinations. Case Studies - Provide additional challenging managerial applications.Glossaries - Define important terms.What type of software do you use to help students problem-solve?Excel. For students already familiar with Excel, instructions and screen captures are provided to highlight functions and tools that are directly related to quantitative analysis. New appendices provide succinct instructions and examples in several chapters. Excel is used for computations with the normal distribution, the binomial distribution, Bayes theorem, simple and multiple regression, the analytic hierarchy process, Markov analysis, matrix operations, and other models. From the previous edition, Excel is also used for linear and nonlinear programming, simulation, and forecasting.Excel QM. Excel QM is an Excel add-in that makes the use of Excel even easier. It is used to solve many of the problems and examples found in the text. The use of Excel QM is integrated into most chapters.QM for Windows. QM for Windows, developed by Professor Howard Weiss, has long been a preferred software package for quantitative techniques. It is menu-driven and very easy-to-use so that students with limited computer experience find it very user friendly. The full version of this software is on the Student CD-ROM and updates to this valuable package are available to the student at www.prenhall.com/weiss.