| 000 | 01914 a2200265 4500 | ||
|---|---|---|---|
| 999 |
_c33183 _d33183 |
||
| 008 | 180204b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9781473729322 | ||
| 082 | _a658.403 AN AN | ||
| 100 |
_aAnderson, David R. _912771 |
||
| 245 |
_aAn introduction to management science : _bquantitative approaches to decision making _cDavid R. Anderson, Dennis J. Sweeney, T. A. Williams, Mik Wisniewski, Xavier Pierron |
||
| 250 | _a3rd ed. | ||
| 260 |
_aBoston, MA : _bCengage Learning, _cc2016. |
||
| 300 |
_axxvii, 877 p. : _bill. ; _c26 cm. |
||
| 505 | _a1.Introduction2.An Introduction to Linear Programming3.Linear Programming: Sensitivity Analysis and Interpretation of Solution4.Linear Programming Applications5.Linear Programming: The Simplex Method6.Simplex-Based Sensitivity Analysis and Duality7.Transportation, Assignment and Transshipment Problems8.Network Models9.Project Scheduling: PERT/CPM10.Inventory Models11.Queuing Models12.Simulation13.Decision Analysis14.Multicriteria DecisionsConclusion: Management Science in PracticeAppendix A Areas for the Standard Normal DistributionAppendix B Values of e_lAppendix C Bibliography and ReferencesAppendix D Self-Test SolutionsOnline chapters15.Integer Linear Programming16.Forecasting17.Dynamic Programming18.Markov Processes | ||
| 520 | _aReflecting the developments in Microsoft[registered] Office Excel[registered] 2013, this book equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. | ||
| 650 |
_aManagement science _915883 |
||
| 650 |
_aManagement science _xMathematical models _915232 |
||
| 650 |
_aManagement science _zProblems, exercises, etc. _915884 |
||
| 650 |
_aOperations Research _91292 |
||
| 700 |
_aSweeney, Dennis J. _912775 |
||
| 700 |
_aWilliams, T. A. _912776 |
||
| 700 |
_aWisniewski, Mik _912777 |
||
| 700 |
_aPierron, Xavier _912778 |
||
| 942 | _cREGULAR | ||