Introduction to Management Science (13版)

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書名：Introduction to Management Science 13/e (GE) 作者：Bernard W. Taylor III 出版社：Pearson 出版日期：2019/00/00 ISBN：9781292263045 內容簡介 A logical, step-by-step approach to complex problem-solving Using simple, straightforward examples to present complex mathematical concepts, Introduction to Management Science gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques. Management Science presents modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace. 1. Updated - Excel® 2016 Spreadsheet solutions are demonstrated in almost all of the chapters for virtually every management science modeling technique presented. 2. New - 175+ Spreadsheet screenshots appear throughout, most of which include reference boxes to describe the solution steps. Data files for these model solutions can be downloaded to work homework problems. 3. The latest versions of Excel QM for Windows, Risk Solver Platform for Education, TreePlan, Crystal Ball by Oracle, and Microsoft Project, used by businesses and organizations, are included and ideal for further learner exploration. 目錄 Ch 1 Management Science Ch 2 Linear Programming: Model Formulation and Graphical Solution Ch 3 Linear Programming: Computer Solution and Sensitivity Analysis Ch 4 Linear Programming: Modeling Examples Ch 5 Integer Programming Ch 6 Transportation, Transshipment, and Assignment Problems Ch 7 Network Flow Models Ch 8 Project Management Ch 9 Multicriteria Decision Making Ch10 Nonlinear Programming Ch11 Probability and Statistics Ch12 Decision Analysis Ch13 Queuing Analysis Ch14 Simulation Ch15 Forecasting Ch16 Inventory Management Appendix A: Normal and Chi-Square Tables Appendix B: Setting Up and Editing a Spreadsheet Appendix C: The Poisson and Exponential Distributions

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

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Introduction to Management Science and Business Analytics: A Modeling and Case Studies Approach with Spreadsheets 作 / 譯 者 ： Frederick S. Hillier,Mark S. Hillier,Kari Schmedders,Molly Stephens I S B N - 13 ： 9781265040055 I S B N - 10 ： 1265040052 類 別： 管理科學 版 次： 7 版 年 份： 2023 規 格： 742 頁 出 版 商： McGraw Hill Education 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

An Introduction to Management Science 16/e AE (16版)

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An Introduction to Management Science 16/e AE +作者：Camm/Anderson +年份：2023 年16 版 +ISBN：9789815077216 +書號：IE0303PC +規格：平裝/彩色 +頁數：816 +出版商：Cengage 目錄 1. Introduction. 2. An Introduction to Linear Programming. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution. 4. Linear Programming Applications in Marketing, Finance, and Operations Management. 5. Advanced Linear Programming Applications. 6. Distribution and Network Models. 7. Integer Linear Programming. 8. Nonlinear Optimization Models. 9. Project Scheduling: PERT/CPM. 10. Inventory Models. 11. Waiting Line Models. 12. Simulation. 13. Decision Analysis. 14. Multicriteria Decisions. 15. Time Series Analysis and Forecasting. 16. Markov Processes. Appendix A: Building Spreadsheet Models. Appendix B: Areas for the Standard Normal Distribution. Appendix C: Values of e–λ. Appendix D: References and Bibliography. Appendix E: Answers to Even-Numbered Exercises (MindTap Reader).