Quantitative Analysis for Management

By: Bonini, Charles PContributor(s): Bierman, Harold | Hausman, Warren HMaterial type: TextTextPublication details: Chicago : Irwin, cop. 1997Edition: 9th edDescription: xii, 540pISBN: 9780256140217; 0256140219 Subject(s): Decision, Prey - Mathematical modelsDDC classification: 658.4033
Contents:
1. Introduction to Analysis and Model Building 2. Introduction to Linear Programming 3. Solution of Linear Programming Problems 4. Special Topics in Mathematical Programming 5. Introduction to Probability 6. Decision Making & Uncertainty 7. Decision and Risk Analysis 8. Inventory Control and Management 9. Queuing Theory: Congestion in Processing Systems 10. Simulation 11. PERT Program Evaluation and Review Technique 12. Forecasting
Summary: Intended for use in an elective quantitative analysis course at the Junior level or first year MBA and in Modeling and Analysis, Decision Sciences or Management Science course. This text uses the Excel spreadsheet throughout. It includes Model building, Mathematical Programming, Simulation, and other spreadsheet applications.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Lending Books Lending Books Main Library
Stacks 		Reference 658.4033 BON (Browse shelf(Opens below)) Available 008634
Reference Books Reference Books Main Library
Reference 		Reference 658.4033 BON (Browse shelf(Opens below)) Available 006440
Total holds: 0

Includes index

1. Introduction to Analysis and Model Building 2. Introduction to Linear Programming 3. Solution of Linear Programming Problems 4. Special Topics in Mathematical Programming 5. Introduction to Probability 6. Decision Making & Uncertainty 7. Decision and Risk Analysis 8. Inventory Control and Management 9. Queuing Theory: Congestion in Processing Systems 10. Simulation 11. PERT Program Evaluation and Review Technique 12. Forecasting

Intended for use in an elective quantitative analysis course at the Junior level or first year MBA and in Modeling and Analysis, Decision Sciences or Management Science course. This text uses the Excel spreadsheet throughout. It includes Model building, Mathematical Programming, Simulation, and other spreadsheet applications.

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