Practical Management Science, 6/e (AE-Paperback)【內含Access Code,經刮除不受退】

Wayne L. Winston, S. Christian Albright

Practical Management Science, 6/e (AE-Paperback)【內含Access Code,經刮除不受退】

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●AUTHORS PROVIDE A VARIETY OF PROBLEMS FOR YOUR FLEXIBILITY. This edition provides four types of problems -- level A, level B, modeling, and cases – that are graded within sections and chapters. This assortment of problems gives you additional options as you assign homework.
●RELEVANT MATERIAL CONNECTS WITH A BROAD RANGE OF BUSINESS MAJORS. Interdisciplinary examples and problems from finance, marketing, and operations research cover such topics as portfolio selection, options, and pricing models. Students remain engaged as they see the importance of what they're learning throughout your course.
●CENGAGE’S ONLINE MINDTAP® COURSE DELIVERY SYSTEM IS THE DIGITAL LEARNING SOLUTION THAT POWERS STUDENTS FROM MEMORIZATION TO MASTERY. MindTap includes hundreds of multiple choice problem-solving questions for testing students. It gives you complete control of your course -- to provide engaging content, to challenge every individual, and to build their confidence. Customize the interactive syllabi, emphasize the most important topics, and add your own material or notes in the eBook. Empower students to accelerate their progress with MindTap.
●MODELING SKILLS ARE EMPHASIZED THROUGH THE USE OF MICROSOFT® EXCEL 2016. The use of spreadsheets, integrated throughout the book, allows students with varying mathematical backgrounds to build upon their skills as they work through sophisticated problems. Many examples use "Big Picture" diagrams to ease the transition from problem statements to actual spreadsheet models.
●CONTENT EQUIPS STUDENTS WITH THE MOST UP-TO-DATE TOOLS FOR SOLVING PROBLEMS. The edition teaches students to work with important professional add-ins including the Palisade DecisionTools Suite with @RISK, StatTools, PrecisionTree, TopRank, NeuralTools, Evolver, and BigPicture. Students also work with SolverTable, which allows users to complete sensitivity analysis on optimization models.

作者簡介

Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now Professor of Decision and Information Sciences at the Bauer College at the University of Houston. Dr. Winston has received more than 45 teaching awards and is a six-time recipient of the school-wide M.B.A. award. His current interest focuses on showing how to use spreadsheet models to solve business problems in all disciplines, particularly in finance, sports and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written such successful textbooks, including OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS; MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS; SIMULATION MODELING WITH @RISK; DATA ANALYSIS FOR MANAGERS; SPREADSHEET MODELING AND APPLICATIONS; MATHLETICS, DATA ANALYSIS AND BUSINESS MODELING WITH EXCEL 2016; MARKETING ANALYTICS; and FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. Dr. Winston received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale.

S. Christian Albright received both his B.S. degree in mathematics and his Ph.D. in operations research from Stanford. He then taught in the Operations and Decision Technologies Department in the Kelley School of Business at Indiana University until his retirement in 2011. He taught courses in management science, computer simulation and statistics to all levels of business students, including undergraduate, M.B.A. and Ph.D. students. He has published more than 20 articles in leading operations research journals in applied probability. After retiring, he worked for several years for the Palisade software company. Now living in Hilton Head, SC, he continues to revise several successful textbooks, including this edition, PRACTICAL MANAGEMENT SCIENCE and VBA FOR MODELERS.

目錄大綱

1. Introduction to Modeling.
2. Introduction to Spreadsheet Modeling.
3. Introduction to Optimization Modeling.
4. Linear Programming Models.
5. Network Models.
6. Optimization Models with Integer Variables.
7. Nonlinear Optimization Models.
8. Evolutionary Solver: An Alternative Optimization Procedure.
9. Decision Making Under Uncertainty.
10. Introduction to Simulation Modeling.
11. Simulation Models.
12. Queueing Models.
13. Regression and Forecasting Models.
14. Data Mining
15. Project Management (MindTap only).
16. Multiobjective Decision Making (MindTap only).
17. Inventory and Supply Chain Models (MindTap only).

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