An introduction to management science: quantitative approaches to decision making Anderson, David R.

By: Anderson, David R
Contributor(s): Sweeney, Dennis J | Williams, Thomas A
Material type: TextTextPublisher: Delhi Thomson 2005; New Delhi Cengage Learning India Pvt. Ltd. 2005Edition: 11th ed. India editionDescription: xxiii, 907 p. With CD at Acc.No. CD1068, CD1766ISBN: 9788131502860Subject(s): Management science | Linear Programming | Operations research | Management - mathematical modelsDDC classification: 658.4018 Summary: ASW's Introduction to Management Science: A Quantitative Approach to Decision Making provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it's a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included as well.
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Books Vikram Sarabhai Library
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ASW's Introduction to Management Science: A Quantitative Approach to Decision Making provides thorough, application-oriented coverage in a very readable writing style. This is the leading text on the market. Simply put, it's a classic! The problem-scenario approach introduces quantitative procedures through situations that include both problem formulation and technique application. The extensive linear programming coverage includes problem formulation, computer solution, and practical application. The text covers transportation, assignment, and the integer programming extension of linear programming, as well as advanced topics like waiting line models, simulation, and decision analysis. A large selection of problems includes self-test problems with complete solutions and case problems. Excel spreadsheet appendices are included as well.

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