000 | 01661 a2200217 4500 | ||
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999 |
_c276 _d276 |
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005 | 20190923113056.0 | ||
008 | 190830b ||||| |||| 00| 0 eng d | ||
020 | _a9789339222178 | ||
082 |
_a658.4032 _bHIL |
||
100 |
_aHillier, Frederick S. _9819 |
||
245 | _aIntroduction to management science: a modeling and case studies approach with spreadsheets | ||
250 | _a4th | ||
260 |
_bMcGraw Hill Education (India) Pvt. Ltd. _aNew Delhi _c2015 |
||
300 | _a656 p. | ||
365 |
_aINR _b825.00 |
||
504 | _aTable of content 1 Introduction 2 Linear Programming: Basic Concepts 3 Linear Programming: Formulation and Applications 4 The Art of Modeling with Spreadsheets 5 What-If Analysis for Linear Programming 6 Network Optimization Problems 7 Using Binary Integer Programming to Deal with Yes-or-No Decisions 8 Nonlinear Programming 9 Decision Analysis 10 Forecasting 11 Queueing Models 12 Computer Simulation: Basic Concepts 13 Computer Simulation with Crystal Ball APPENDIXES | ||
520 | _aIntroduction 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. | ||
650 |
_aManagement science _9754 |
||
700 |
_a Operations research _9755 |
||
942 |
_2ddc _cBK |