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Introduction to Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets(7版)
作者：
Frederick S. Hillier, Mark S. Hillier, Kari Schmedders, Molly Stephens
分類：
參考•考試•教科書
／
高職•二專•四技教科書
叢書系列：商管理工
出版社：
McGraw Hill
出版日期：2023/7/19
ISBN：9781265040055
書籍編號：kk0586697
頁數：742
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Introduction to Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets(7版) 內容簡介 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
目錄 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
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