TY  - BOOK
AU  - Hillier,Frederick S.
AU  - Hillier,Mark S.
TI  - Introduction to management science: a modeling and case studies approach with spreadsheets 
T2  -  	Irwin/McGraw-Hill series in operations and decision sciences
SN  - 9781260091854
AV  - T56 .H55 2019
U1  - 658.4032 22
PY  - 2019///]
CY  - New York, NY
PB  - McGraw-Hill Education
KW  - Management science
KW  - Operations research
N1  - Frederick Hillier

Professor emeritus of operations research at Stanford University. Dr. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and college for writing, mathematics, debate, and music, he ranked first in his undergraduate engineering class and was awarded three national fellowships (National Science Foundation, Tau Beta Pi, and Danforth) for graduate study. Dr. Hillier’s research has extended into a variety of areas, including integer programming, queueing theory and its application, statistical quality control, and production and operations management. He also has won a major prize for research in capital budgeting; CONTENTS:
1 Introduction
2 Linear Programming: Basic Concepts
3 Linear Programming: Formulation and Applications
4 The Art of Modeling with Spreadsheets
5 What-If Analysis for Linear Programming
6 Network Optimization Problems
7 Using Binary Integer Programming to Deal with Yes-or-No Decisions
8 Nonlinear Programming
9 Decision Analysis
10 Forecasting
11 Queueing Models
12 Computer Simulation: Basic Concepts
13 Computer Simulation with Analytic Solver
ER  -