Introduction to Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets(7版)

　　International edition of Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets 7th Edition. 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. Hilliers 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. Associate professor of quantitative methods at the School of Business at the University of Washington. Dr. Hillier received his BS in engineering (plus a concentration in computer science) from Swarthmore College, and he received his MS with distinction in operations research and PhD in industrial

作者簡介

Frederick S. Hillier

　　現職：Stanford University

Mark S. Hillier

　　現職：University of Washington

Kari Schmedders

　　現職：IMD Business School for Management and Leadership

Molly Stephens

　　現職：Quinn, Emanuel, Urquhart & Sullivan, LLP

PART I: THE ESSENCE OF MANAGEMENT SCIENCE AND BUSINESS ANALYTICS
Ch 1 Introduction
Ch 2 Overview of the Analysis Process

PART II: MODELS FOR PREDICTIVE ANALYTICS
Ch 3 Classification and Prediction Models for Predictive Analytics
CH 4 Predictive Analytics Based on Traditional Forecasting Methods

PART III: USING LINEAR PROGRAMMING TO PERFORM PRESCRIPTIVE ANALYTICS
Ch 5 Linear Programming: Basic Concepts
Ch 6 Linear Programming: Formulation and Applications
Ch 7 The Art of Modeling with Spreadsheets
Ch 8 What-If Analysis for Linear Programming
Ch 9 Network Optimization Problems

PART IV: USING INTEGER OR NONLIEAR PROGRAMMING TO PERFORM PRESCRIPTIVE ANALYTICS
Ch10 Integer Programming
Ch11 Nonlinear Programming

PART V: TRADITIONAL UNCERTAINTY MODELS FOR PERFORMING PREDICTIVE OR PRESCRIPTIVE ANALYTICS
Ch12 Decision Analysis
Ch13 Queueing Models
Ch14 Computer Simulation: Basic Concepts
Ch15 Computer Simulation with Analytic Solver