An Introduction to Management Science, 16/e (AE-Paperback)
暫譯: 管理科學導論，第16版 (AE-平裝本)

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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商品描述

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®.

商品描述(中文翻譯)

本書序言

●全彩內部設計吸引學生並幫助澄清重點。每章開頭新增的學習目標與特定的章末問題對應，以改善教學設計和成果追蹤。此外，大多數問題現在都有簡短的內嵌描述。

●新的WebAssign數位資源和影片指導學習。最新版本的WebAssign課程資料現在提供新的章節概述影片和問題逐步解說影片（稱為“Watch Its”），以及其他資源以提高作業的深度和廣度，並為學生完成家庭作業和小測驗提供幫助。還提供了一個新的測試題庫以檢查學生的理解。

●根據讀者反饋進行的修訂進一步改善概念解釋。擴展的討論澄清了關鍵概念。例如，第7章清楚介紹了可行性表，以幫助構建條件和核心約束。第8章擴展了對非線性優化的敏感性分析的討論，第10章澄清了各種庫存模型的訂購時機決策。此外，第11章提供了有關多伺服器排隊系統的修訂技術說明。

●新的“管理科學實踐”短篇和問題展示概念的實際應用。六個新的“管理科學實踐”短篇描述了本版中所涵蓋的材料在當今實踐中的實際應用。此外，超過15個章末問題是新的，許多問題也已更新。

本書特色

●真實數據範例展示實際商業情況和挑戰。本書以其實用的現實世界重點而聞名，提供來自真實商業的實際、及時數據。這些有意義的範例強調應用以及堅實的管理科學和定量方法。

●經過驗證的問題情境方法確保理解。本書的一大特色，作者獨特的問題情境方法使用管理科學模型引入問題，並在應用環境中介紹每種定量技術。學生必須將管理科學技術應用於每個問題，以生成商業解決方案或建議。

●章節內容和問題與學習目標對齊。每章包括一個反映布魯姆分類法的學習目標列表。每個章末問題現在都包括描述性問題標題，並列出與該問題對應的學習目標，以便於回顧。

●強大的線上內容加強並擴展了書中徹底的解釋。本版的豐富數位內容提供與本版文本範例、模型和軟體相對應的Excel®範本。

●整合的軟體應用幫助學生掌握關鍵技能。本版的特色方法整合了Excel®的應用覆蓋，幫助學生掌握Excel®中的關鍵問題解決技能。

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

作者簡介(中文翻譯)

Jeffrey D. Camm 是維克森林大學商學院的 Inmar 總統椅及商業分析課程的高級副院長。

James J. Cochran 是阿拉巴馬大學的研究副院長、應用統計學教授及 Rogers-Spivey 教授獎學金得主。

Michael J. Fry 是辛辛那提大學卡爾·H·林德納商學院的運營、商業分析及資訊系統教授，以及商業分析中心的學術主任。

Jeffrey W. Ohlmann 是愛荷華大學 Tippie 商學院的商業分析副教授及 Huneke 研究獎學金得主。

David R. Anderson 是辛辛那提大學商業管理學院的定量分析領導作者及名譽教授。

Dennis J. Sweeney 是辛辛那提大學定量分析名譽教授及生產力改善中心的創始人。

Thomas A. Williams - 羅徹斯特理工學院

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).

目錄大綱(中文翻譯)

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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