Quantitative decision analysis

Author: Powell
Publisher:
Publish Date: 2004-02-01
Features: A classic textbook from the University of Cambridge, written by experienced professors. It has been revised multiple times, continuously improving and remaining popular. Dedicated to guiding decision-making practice, it is concise, targeted, and to the point. The content and exercise design are flexible and open-ended, encouraging readers to participate and think independently. Rich, vivid case studies from various industries cover different themes, providing comprehensive and insightful analysis. Quantitative decision-making covers the generation and calculation of indices, forecasting methods and practical operations, data collection and information description, types and selection of distribution forms, drawing and application of decision trees, and related theories and practical issues around sampling. It then illustrates how to apply these theories to decision-making in real-world problems with examples from fields such as food, engineering, decoration, and consulting. The book concludes with an introduction to queuing management, network analysis, and resource allocation. It is divided into two parts, with the second part briefly outlining the key and challenging points of each chapter and providing answers to most exercises. The book is rigorous in argumentation, well-supported by data, and highlights key points, helping readers learn and master quantitative analytical methods to make informed decisions. It works exceptionally well when used in conjunction with the other four books in the "Cambridge Business Decision Classics" series.