Quantitative Methods
Applications to Managerial Decision Making
Published on 16. January 1991
Book
Hardback
560 pages
978-0-471-87885-8 (ISBN)
Description
Designed especially for quantitative business analysis (QBA), this book covers a broad field of quantitative methods and applications to managerial decision making. It provides a survey of modern management techniques such as probability concepts, forecasting, linear programming and model formulation, postoptimality analysis and utility theory. Extensive treatment of computer techniques is integrated into the text, including illustrations of both mainframe and microcomputer uses and up-to- date coverage of recent popular software packages. Techniques such as simplex or branch are repeatedly demonstrated with numerical examples so that the reader's comprehension is continually reinforced.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Dimensions
Height: 263 mm
Width: 202 mm
Thickness: 50 mm
Weight
1899 gr
ISBN-13
978-0-471-87885-8 (9780471878858)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Robert E. Markland is the author of Quantitative Methods: Applications to Managerial Decision Making, published by Wiley. James R. Sweigart is the author of Quantitative Methods: Applications to Managerial Decision Making, published by Wiley.
Content
Probability Concepts; Probability Distribution; Decision and Utility Theory; Forecasting; Introduction to Linear Programming and Model Formulation; Graphical Solution of Linear Programming Problems; The Simplex Method; Postoptimality Analysis; Goal Programming; Transportation, Transshipment and Assignment Problems; Network Models; PERT/CPM; Integer Programming Models; Inventory Analysis: Deterministic Models; Inventory Analysis: Probabilistic Models; Waiting Line Models; Computer Simulation; Other Quantitative Models; Implementation and Integration of Management Science Techniques in the Decision Framework; Appendixes; Index.