This text may be used in a required or elective quantitative analysis course at the Junior level or first year MBA. It also may be used for an elective course in Modeling and Analysis, Decision Sciences or Management Science. A major new feature of the book is the use of the Excel spreadsheet throughout. It is a very spreadsheet friendly text. Model building, Mathematical Programming (using Excel Solver), Simulation, and other spreadsheet applications are included. As indicated, the book was revised in a modular format for custom publishing options. Chapters are self contained. Sections of the book, or individual chapters from other books using Irwin/McGraw Hill custom publishing options.
Auflage
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Zielgruppe
Für höhere Schule und Studium
Editions-Typ
Illustrationen
Maße
Höhe: 254 mm
Breite: 203 mm
Dicke: 26 mm
Gewicht
ISBN-13
978-0-256-14021-7 (9780256140217)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Bodily received his PhD (1976) and a masters from MIT in operations research and a BS in physics. He received the Alpha, Iota, Delta award for innovative teaching in 1982, for his work in teaching decision making with new software tools, which evolved into a text published by McGraw-Hill. His area of expertise is decision analysis. Carraway, the other main author, has a PhD from Purdue (1984) in management, an MBA and a BS in math from East Carolina. Pfeifer has a PhD from Georgia Tech (1979)and two Masters in operations research and applied statistics. His widely published work is primarily in regression and forecasting. Frey is the co-author of our dated Vatter et. al., Harvard casebook, Quantitative Methods in Management. He has taught at Harvard for five years after receiving his PhD from Johns Hopkins University (1969) in operations research. He has written a wealth of cases and teaching notes in OR and finance. All of the authors teach the introductory MBA two-course sequence from which this text has been developed. The course is consistently ranked highly by students.
1. Introduction to Analysis and Model Building 2. Introduction to Linear Programming 3. Solution of Linear Programming Problems 4. Special Topics in Mathematical Programming 5. Introduction to Probability 6. Decision Making & Uncertainty 7. Decision and Risk Analysis 8. Inventory Control and Management 9. Queuing Theory: Congestion in Processing Systems 10. Simulation 11. PERT Program Evaluation and Review Technique 12. Forecasting
