Introduction to management science : a modeling and case studies approach with spreadsheets
著者
書誌事項
Introduction to management science : a modeling and case studies approach with spreadsheets
(The Irwin/McGraw-Hill series in operations and decision sciences)
McGraw-Hill, 2011
4th ed., international ed
- : pbk
大学図書館所蔵 全6件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes index
内容説明・目次
内容説明
Introduction to Management Science, 4e, offers a unique model approach and integrates the use of Excel. Through this approach students are better able to grasp the essential concepts covered in the course and see their utility. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. These cases and related applications cut across all functional areas of business and show how management science techniques apply in the business environment.
目次
Chapter 1: Introduction Chapter 2: Linear Programming: Basic Concepts Chapter 3: Linear Programming: Formulation and Applications Chapter 4: The Art of Modeling with Spreadsheets Chapter 5: What-If Analysis for Linear Programming Chapter 6: Network Optimization Problems Chapter 7: Using Binary Integer Programming to Deal with Yes-or-No Decisions Chapter 8: Nonlinear Programming Chapter 9: Decision Analysis Chapter 10: Forecasting Chapter 11: Queueing Models Chapter 12: Computer Simulation: Basic Concepts Chapter 13: Computer Simulation with Crystal Ball Appendix A: Using the Solver Table Appendix B: Tips for Using Microsoft Excel for Modeling Appendix C: Partial Answers to Selected Problems Supplements on the CD-ROM: Supplement to Chapter 2: More about the Graphical Method for Linear Programming Supplement to Chapter 5: Reduced Costs Supplement to Chapter 6: Minimum Spanning-Tree Problems Supplement 1 to Chapter 7: Advanced Formulation Techniques for Binary Integer Programming Supplement 2 to Chapter 7: Some Perspectives on Solving Binary Integer Programming Problems Supplement to Chapter 9: Decision Criteria Supplement to Chapter 10: Time-Series Forecasting with CB Predictor Supplement to Chapter 11: Additional Queueing Models Supplement to Chapter 12: The Inverse Transformation Method for Generating Random Observations Chapters on the CD-ROM: Chapter 14: Solution Concepts for Linear Programming Chapter 15: Transportation and Assignment Problems Chapter 16: PERT/CPM Models for Project Management Chapter 17: Goal Programming Chapter 18: Inventory Management with Known Demand Chapter 19: Inventory Management with Uncertain Demand
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