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Management science modelling / S. Christian Albright, Wayne L. Winston ; with cases by Mark Broadie, Lawrence L. Lapin, William D. Whisler.

By: Albright, S. Christian.
Contributor(s): Winston, Wayne L.
Publisher: Australia : South-Western, Cengage Learning, c2009Edition: 3rd ed., Revised.Description: xv, 992 p. : ill. ; 26 cm.ISBN: 9780324663464 (pbk.); 0324663463 (pbk.).Subject(s): Management science -- Mathematical models | Industrial management -- Mathematical modelsDDC classification: 658.4033
Contents:
1. Introduction to modelling - 2. Introduction to spreadsheet modelling - 3. Introduction to optimization modelling - 4. Linear programming - 5. Network models - 6. Optimization models with integer variables - 7. Nonlinear optimization models - 8. Evolutionary solver : an alternative optimization procedure - 9. Multiobjective decision making -10. Decision making under uncertainty - 11. Introduction to simulation modelling - 12. Simulation models - 13. Inventory needs - 14. Queueing models - 15. Project management - 16. Regression and forecasting models
Item type Current location Call number Copy number Status Notes Date due Barcode Remark
Accompanying Material (Media Resource) TU External Storage-LCS
658.4033 ALB 2009 (Browse shelf) 1 Available SLASx,05000,03,GR 1000147667 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1
Main Collection TU External Storage-LCS
658.4033 ALB 2009 (Browse shelf) 1 Available SLASx,05000,03,GR 5000000347 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1

Includes bibliographical references and index.

1. Introduction to modelling - 2. Introduction to spreadsheet modelling - 3. Introduction to optimization modelling - 4. Linear programming - 5. Network models - 6. Optimization models with integer variables - 7. Nonlinear optimization models - 8. Evolutionary solver : an alternative optimization procedure - 9. Multiobjective decision making -10. Decision making under uncertainty - 11. Introduction to simulation modelling - 12. Simulation models - 13. Inventory needs - 14. Queueing models - 15. Project management - 16. Regression and forecasting models