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

Introduction

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訂購需時10-14天
9781265040055
Frederick S. Hillier,Mark S. Hillier,Kari Schmedders,Molly Stephens
華泰文化
2023年7月19日
560.00  元
HK$ 560  






ISBN:9781265040055
  • 叢書系列:管理科學
  • 規格:平裝 / 742頁 / 21.6 x 27.4 x 2.3 cm / 普通級 / 全彩印刷 / 7版
  • 出版地:台灣
    管理科學


  • 專業/教科書/政府出版品 > 管理類 > 企業管理 > 管理學











      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


     





    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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