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020			_a9789355325082 _cRs995.00
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041			_aeng
082			_a658.4032 _bH6543
100			_95310 _aHillier, Frederick S.
245			_aIntroduction to Management Science : _bA Modeling and Case Studies Approach with Spreadsheets / _cFrederick S. Hillier, and Mark S. Hillier
250			_a6th ed.
260			_aChennai : _bMcGraw Hill Education (India) Private Limited, _cc2019.
300			_axviii, 622 p. : _bill. ; _c28 cm
500			_aIndian edition
504			_aIncludes index.
505			_a1 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 Analytic Solver APPENDIXES A Tips for Using Microsoft Excel for Modeling B Partial Answers to Selected Problems CHAPTERS available Online 14 Solution Concepts for Linear Programming 15 Transportation and Assignment Problems 16 PERT/CPM Models for Project Management 17 Goal Programming 18 Inventory Management with Known Demand 19 Inventory Management with Uncertain Demand 20 Computer Simulation with Crystal Ball
520			_a The sixth edition of this book focuses on business situations, including prominent non-mathematical issues, the use of spreadsheets, and involves model formulation and assessment more than model structuring. This text 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. In addition to examples, nearly every chapter includes one or two case studies patterned after actual applications to convey the whole process of applying management science. Key Features: • Strong managerial Perspective having extensive use of Spreadsheet. • A Modelling and a Case based approach. • Coverage on new topics like Role of Robust Optimization in What-If Analysis, Chance Constraints, Relationship Between Analytics and Management Science, etc. • Thorough updating of the Book. Numbers and other details describing their application in certain problems, cases, and examples have been updated along with capturing the uses of new technologies. • Diverse examples, problems, and cases convey the pervasive relevance of management science. • Excel tips interspersed among the margin notes
650		0	_95702 _aManagement science
650		0	_91132 _aOperations research
700			_95703 _aHillier, Mark S.
942			_2ddc _cBK