LEADER 03734nam 2200529 450 001 9910467935403321 005 20200520144314.0 010 $a1-5015-0631-5 010 $a1-5015-0620-X 024 7 $a10.1515/9781501506208 035 $a(CKB)4340000000194621 035 $a(MiAaPQ)EBC4947049 035 $a(DE-B1597)479477 035 $a(OCoLC)1002245213 035 $a(DE-B1597)9781501506208 035 $a(Au-PeEL)EBL4947049 035 $a(CaPaEBR)ebr11423793 035 $a(OCoLC)1001360232 035 $a(EXLCZ)994340000000194621 100 $a20170911h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aManagerial decision modeling $ebusiness analytics with spreadsheets /$fNagraj (Raju) Balakrishnan [and three others] 205 $aFourth edition. 210 1$aBoston, [Massachusetts] :$cDeG Press,$d2017. 210 4$dİ2017 215 $a1 online resource (828 pages) $cillustrations 300 $aIncludes index. 311 $a1-5015-1510-1 327 $tFrontmatter -- $tAcknowledgments -- $tAbout the Authors -- $tContents -- $tPreface -- $tChapter 1: Introduction to Managerial Decision Modeling -- $tChapter 2: Linear Programming Models: Graphical and Computer Methods -- $tChapter 3: Linear Programming Modeling Applications with Computer Analyses in Excel -- $tChapter 4: Linear Programming Sensitivity Analysis -- $tChapter 5: Transportation, Assignment, and Network Models -- $tChapter 6: Integer, Goal, and Nonlinear Programming Models -- $tChapter 7: Project Management -- $tChapter 8: Decision Analysis -- $tChapter 9: Queuing Models -- $tChapter 10: Simulation Modeling -- $tChapter 11: Forecasting Models -- $tAppendix A: Probability Concepts and Applications -- $tAppendix B: Useful Excel 2016 Commands and Procedures for Installing ExcelModules -- $tAppendix C: Areas Under The Standard Normal Curve -- $tAppendix D: Brief Solutions to All Odd-Numbered End-Of-Chapter Problems -- $tIndex 330 $aThis book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941 606 $aManagement$xMathematical models 608 $aElectronic books. 615 0$aManagement$xMathematical models. 676 $a658.4033 700 $aBalakrishnan$b Nagraj (Raju), $4aut$4http://id.loc.gov/vocabulary/relators/aut$01057539 702 $aBalakrishnan$b Nagraj 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467935403321 996 $aManagerial decision modeling$92492929 997 $aUNINA