Introductory Management Science
Prentice-Hall (Publisher)
2nd Edition
Published in December 1986
Book
Paperback/Softback
784 pages
978-0-13-501883-5 (ISBN)
Article exhausted; check for reprint
Description
Revised and updated, this package is designed to offer people the flexibility to create their own presentations. Introducing students to key ideas of management science - problem framing, health skepticism, cost concepts and optimality and sensitivity - this text places the emphasis on studying the models of management science - how they are created, how they are used and what paradigms they provide. New features of the third edition include a case study on cash flow matching and an integer programming model of a financial problem; a section on the M/G/1 queuing model; examples using the GINO software package; a number of problems helpful for mastering basic concepts; and integrated use of computer programming for problem-solving.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
Illustrationssome col), maps
Dimensions
Height: 240 mm
Width: 160 mm
Weight
1307 gr
ISBN-13
978-0-13-501883-5 (9780135018835)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Jeffrey H. Moore | Larry R. Weatherford
Decision Modeling with Microsoft (R) Excel
United States Edition
Book
01/2001
6th Edition
Pearson
€122.86
Article exhausted; check for reprint
Persons
Content
Linear programming - format and spreadsheet models, geometric representations and graphical solutions; analysis of LP models - the graphical approach; linear programs - computer analysis, interpreting sensitivity output and the dual problem; linear programs- the simplex method, special applications; integer and quadratic programming; network models project management - PERT and CPM; inventory control with known demand; inventory models with probabilistic demand; queuing models; simulation; decision theory and decision trees; forecasting; heuristics, multiple objectives and goal programming; calculus-based optimization and an introduction to nonlinear programming.