An Introduction to Management Science, 16/e (AE-Paperback)

Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson, Dennis J. Sweeney, Thomas A. Williams

An Introduction to Management Science, 16/e (AE-Paperback)
  • 出版商: Cengage Learning
  • 出版日期: 2023-01-01
  • 定價: $1,460
  • 售價: 9.8 折 $1,431
  • 語言: 英文
  • 頁數: 816
  • ISBN: 981507721X
  • ISBN-13: 9789815077216

    • 立即出貨 (庫存 < 3)

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本書序言

●FULL-COLOR INTERNAL DESIGN APPEALS TO STUDENTS AND HELPS CLARIFY KEY POINTS. Learning objectives now added to the beginning of each chapter map to specific end-of-chapter problems for improved instructional design and outcomes tracking. In addition, most problems now have brief, inline descriptions added.
●NEW WEBASSIGN DIGITAL RESOURCES AND VIDEOS GUIDE LEARNING. The most recent edition of WebAssign courseware now offers new chapter overview videos and problem walk-through videos (called "Watch Its") as well as additional resources to improve the depth and breadth of assignments and offer help for students completing homework and quizzes. A new test bank is also available to check student comprehension.
●REVISIONS, GUIDED BY READER FEEDBACK, FURTHER IMPROVE CONCEPT EXPLANATIONS. Expanded discussions clarify key concepts. For instance, Chapter 7 clearly introduces the feasibility table to aid the construction of conditional and corequisite constraints. Chapter 8 expands discussion of sensitivity analysis for nonlinear optimization, and Chapter 10 clarifies the when-to-order decision for the various inventory models. In addition, Chapter 11 offers revised technical notes on multiple-server queueing systems.
●NEW "MANAGEMENT SCIENCE IN ACTION" VIGNETTES AND PROBLEMS DEMONSTRATE CONCEPTS AT WORK. Six new "Management Science in Action" vignettes describe how material covered in this edition is actually used in practice today. In addition, more than 15 end-of-chapter problems are new and many are updated.

本書特色

●REAL DATA EXAMPLES DEMONSTRATE ACTUAL BUSINESS SITUATIONS AND CHALLENGES. Known for its practical, real-world emphasis, this book provides actual, timely data drawn from real business. Theses meaningful examples emphasize application as well as solid management science and quantitative methodology.
●PROVEN PROBLEM-SCENARIO APPROACH ENSURES COMPREHENSION. A hallmark strength of this text, the authors' unique problem-scenario approach introduces problems using the management science model and introduces each quantitative technique within an application setting. Students must apply the management science technique to each problem to generate a business solution or recommendation.
●CHAPTER CONTENT AND PROBLEMS ALIGN WITH LEARNING OBJECTIVES. Each chapter includes a list of learning objectives that reflects Bloom's taxonomy. Every end-of-chapter problem now includes a descriptive problem title and lists the learning objectives that correspond to the problem for convenient review.
●ROBUST ONLINE CONTENT REINFORCES AND EXPANDS UPON THE BOOK'S THOROUGH EXPLANATIONS. This edition's wealth of digital content provides Excel® templates that correspond with this edition's text examples, models and software.
●INTEGRATED SOFTWARE APPLICATIONS HELP STUDENTS MASTER CRITICAL SKILLS. The edition's hallmark approach integrates coverage of applications with Excel®, helping you equip students with critical problem-solving skills in Excel®.

作者簡介

Jeffrey D. Camm is the Inmar Presidential Chair and senior associate dean of business analytics programs in the School of Business at Wake Forest University.
James J. Cochran is associate dean for research, a professor of applied statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama. 
Michael J. Fry is a professor of operations, business analytics and information systems as well as academic director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati.
Jeffrey W. Ohlmann is associate professor of business analytics and a Huneke Research Fellow in the Tippie College of Business at the University of Iowa.
David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati.
Dennis J. Sweeney is professor emeritus of quantitative analysis and founder of the Center for Productivity Improvement at the University of Cincinnati.
Thomas A. Williams - Rochester Institude of Technology

目錄大綱

1. Introduction.
2. An Introduction to Linear Programming.
3. Linear Programming: Sensitivity Analysis and Interpretation of Solution.
4. Linear Programming Applications in Marketing, Finance, and Operations Management.
5. Advanced Linear Programming Applications.
6. Distribution and Network Models.
7. Integer Linear Programming.
8. Nonlinear Optimization Models.
9. Project Scheduling: PERT/CPM.
10. Inventory Models.
11. Waiting Line Models.
12. Simulation.
13. Decision Analysis.
14. Multicriteria Decisions.
15. Time Series Analysis and Forecasting.
16. Markov Processes.
Appendix A: Building Spreadsheet Models.
Appendix B: Areas for the Standard Normal Distribution.
Appendix C: Values of e–λ.
Appendix D: References and Bibliography.
Appendix E: Answers to Even-Numbered Exercises (MindTap Reader).

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