Description
MC GRAW HILL Introduction To Management Science A Modeling And Case Studies Approach With Spreadsheets 2019 Edition by Frederick S. Hillier, Mark S. Hillier
Introduction to Management Science, 5e, 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. Chapter 1: IntroductionChapter 2: Linear Programming: Basic ConceptsChapter 3: Linear Programming: Formulation and ApplicationsChapter 4: The Art of Modeling with SpreadsheetsChapter 5: What-If Analysis for Linear ProgrammingChapter 6: Network Optimization ProblemsChapter 7: Using Binary Integer Programming to Deal with Yes-or-No DecisionsChapter 8: Nonlinear ProgrammingChapter 9: Decision AnalysisChapter 10: ForecastingChapter 11: Queueing ModelsChapter 12: Computer Simulation: Basic ConceptsChapter 13: Computer Simulation with Risk Solver PlatformAPPENDIXESAppendix A: Tips for Using Microsoft Excel for ModelingAppendix B: Partial Answers to Selected ProblemsINDEXSUPPLEMENTS ON THE CD-ROMSupplement to Chapter 2: More about the Graphical Method for Linear ProgrammingSupplement to Chapter 5: Reduced CostsSupplement to Chapter 6: Minimum Spanning-Tree ProblemsSupplement 1 to Chapter 7: Advanced Formulation Techniques for Binary Integer ProgrammingSupplement 2 to Chapter 7: Some Perspectives on Solving Binary Integer Programming ProblemsSupplement 1 to Chapter 9: Decision CriteriaSupplement 2 to Chapter 9: Using Tree Plan Software for Decision TreesSupplement to Chapter 11: Additional Queueing ModelsSupplement to Chapter 12: The Inverse Transformation Method for Generating Random ObservationsCHAPTERS ON THE CD-ROMChapter 14: Solution Concepts for Linear ProgrammingChapter 15: Transportation and Assignment ProblemsChapter 16: PERT/CPM Models for Project ManagementChapter 17: Goal ProgrammingChapter 18: Inventory Management with Known DemandChapter 19: Inventory Management with Uncertain DemandChapter 20: Computer Simulation with Crystal Ball