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Management science modeling

By: Contributor(s): Material type: TextTextPublication details: Cengage Learning India Pvt. Ltd. New Delhi 2021Edition: 4thDescription: xiv, 917 pISBN:
  • 9788131517932
Subject(s): DDC classification:
  • 658 ALB
Summary: 'Easy to understand and to the point, MANAGEMENT SCIENCE MODELING, 4th Edition, uses an active-learning approach and realistic problems to help you understand and take advantage of the power of spreadsheet modeling. With real examples and problems drawn from finance, marketing, and operations research, you will easily come to see how management science applies to your chosen profession and how you can use it on the job. The authors emphasize modeling over algebraic formulations and memorization of particular models.
List(s) this item appears in: Operation & quantitative Techniques | HR & OB
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Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Operations Management & Quantitative Techniques 658 ALB (Browse shelf(Opens below)) 1 Available 001439

1. Introduction to Modeling.2. Introduction to Spreadsheet Modeling.3. Introduction to Optimization Modeling.4. Linear Programming Models.5. Network Models.6. Optimization Models with Integer Variables.7. Nonlinear Optimization Models.8. Evolutionary Solver: An Alternative Optimization Procedure.9. Decision Making Under Uncertainty.10. Introduction to Simulation Modeling.11. Simulation Models.12. Inventory Models.13. Queueing Models.14. Regression and Forecasting Models.15. Project Management (Online only).16. Multiobjective Decision Making (Online only).

'Easy to understand and to the point, MANAGEMENT SCIENCE MODELING, 4th Edition, uses an active-learning approach and realistic problems to help you understand and take advantage of the power of spreadsheet modeling. With real examples and problems drawn from finance, marketing, and operations research, you will easily come to see how management science applies to your chosen profession and how you can use it on the job. The authors emphasize modeling over algebraic formulations and memorization of particular models.

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