000			04061cam a22004817i 4500
999			_c82068 _d82068
001			82068
003			CITU
005			20230915161422.0
008			140728t20162012maua b 001 0 eng c
010			_a 2014947009
020			_a9781111823610
020			_a1111823618
035			_a(OCoLC)ocn900895734
040			_aCITU LRAC _beng _cOKS _erda _dYDXCP _dOCLCF _dOCL _dUPM _dDLC
050	0	0	_aHD30.25 _b.A53 2016
082	0	0	_a658.4033 _223
100	1		_aAnderson, David R. _q (David Ray), _d1941- _eauthor.
245	1	3	_aAn introduction to management science : _bquantitative approaches to decision making / _cDavid R. Anderson, University of Cincinnati, Thomas A. Williams, Rochester Institute of Technology, Michael J. Fry, University of Cincinnati, Dennis J. Sweeney, University of Cincinnati, Jeffrey D. Camm, University of Cincinnati, Jeffrey W. Ohlmann, University of Iowa, James J. Cochran, University of Alabama.
250			_a14e
264		4	_aBoston, MA : _bCengage Learning, _c[2016]
264		4	_cc2016
300			_axxvii, 877 pages : _billustrations ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_a1. Introduction. 2. An Introduction to Linear Programming. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution. 4. Linear Programming Applications in Marketing, Finance, and Operations Management. 5. Advanced Linear Programming Applications. 6. Distribution and Network Models. 7. Integer Linear Programming. 8. Nonlinear Optimization Models. 9. Project Scheduling: PERT/CPM. 10. Inventory Models. 11. Waiting Line Models. 12. Simulation. 13. Decision Analysis. 14. Multicriteria Decisions. 15. Time Series Analysis and Forecasting. 16. Markov Processes. 17. Linear Programming: Simplex Method (on Website). 18. Simplex-Based Sensitivity Analysis and Duality (on Website). 19. Solutions Procedures for Transportation and Assignment Problems (on Website). 20. Minimal Spanning Tree (on Website). 21. Dynamic Programming (on Website). Appendix A: Building Spreadsheet Models. Appendix B: Areas for the Standard Normal Distribution. Appendix C: Values of e-?. Appendix D: References and Bibliography. Appendix E: Self-Test Solutions and Answers to Even-Numbered Problems.
520			_aReflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2013 to effectively prepare you to work with the latest spreadsheet tools. In addition, readers can get a copy of LINGO software and Excel add-ins with the book's online content.
650		0	_aManagement science.
650		0	_aManagement science _xMathematical models.
650		0	_aManagement science _vProblems, exercises, etc.
650		7	_aManagement science. _2fast _0(OCoLC)fst01007306
650		7	_aManagement science _xMathematical models. _2fast _0(OCoLC)fst01007312
655		7	_aProblems and exercises. _2fast _0(OCoLC)fst01423783
856	4	2	_3Contributor biographical information _uhttps://www.loc.gov/catdir/enhancements/fy1618/2014947009-b.html
856	4	2	_3Publisher description _uhttps://www.loc.gov/catdir/enhancements/fy1618/2014947009-d.html
856	4	1	_3Table of contents only _uhttps://www.loc.gov/catdir/enhancements/fy1618/2014947009-t.html
906			_a7 _bcbc _cpccadap _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK _05