000			02753nam a22002657a 4500
999			_c1376 _d1376
005			20220221123004.0
008			220221b ||||| |||| 00| 0 eng d
020			_a9788120342781
082			_a658.4033 _bGUP
100			_aGupta, M.P. _95420
245			_aQuantitative techniques for decision making
250			_a4th
260			_bPHI Learning Pvt. Ltd. _aNew Delhi _c2014
300			_axii, 758 p.
365			_aINR _b495.00
504			_aTable of content Preface. Preface to the First Edition. 1. Decision Making: A Quantitative Approach. 2. Linear Programming: Graphic Method. 3. Linear Programming: Simplex Method. 4. Transportation Model. 5. Assignment Model. 6. Integer Programming. 7. Goal Programming. 8. Dynamic Programming. 9. Probability. 10. Probability Distributions. 11. Inventory Models. 12. Replacement Models. 13. Network Models: CPM and PERT. 14. Decision Theory. 15. Theory of Games. 16. Sequencing. 17. Queuing Theory. 18. Simulation. 19. Markov Analysis. Appendices: A: Mathematics for Managers. B: Standard Normal Probability Distribution. C. Values of e– for Computing Poisson Probabilities. D. Table of Random Numbers. Bibliography. Answers to Concept Quiz. Answers to Selected Questions. Index.
520			_aDescription: This thoroughly revised and well-received book, now in its Fourth Edition, continues to give an in-depth and incisive analysis of the various mathematical techniques required for managers in their decision-making process. The book provides a clear understanding of the practical utility of mathematical modelling and techniques, such as linear programming, integer programming, goal programming, dynamic programming, inventory models, decision theory, game theory, network analysis, queuing, simulation and Markov analysis, for solving real-life problems. The book lays emphasis on the practical applications of the techniques rather than their rigorous mathematical treatment. It also discusses probability and probability distributions—essential to tackling the everyday uncertainties of life. The book is primarily intended as a textbook for undergraduate and postgraduate students of management, postgraduate students of commerce, students of Master of Financial Control (MFC) course, and undergraduate students of industrial and production engineering. In addition, practising managers will also find the book immensely helpful in their day-to-day decision-making process.
650			_aDecision making--Mathematical models _91481
650			_aLinear programming _9874
650			_aManagement--Mathematical models _95423
650			_aManagement--Statistical methods _91037
650			_aProgramming (Mathematics) _95424
700			_aKhanna, R.B. _94950
942			_2ddc _cBK