For Systems Engineering courses in industrial engineering departments.While being an experiment within itself to teach normative design theory, this comprehensive text treats engineering design as a decision-making process, which it is, from a quantitative point of view. This opens a host of well- developed methods to application, including a mathematically rigorous treatment of risk and uncertainty in design. Largely, these methods come from other fields, such as economics, operations research, decision theory, and game theory. The book is designed to assist the student by defining the boundaries of a discipline, providing order for the learning process, and assisting the student in self testing.
- Limba : Engleza
- Cuprins : (NOTE: Each chapter begins with The Purpose of This Chapter and concludes with Summary, References, and Problems.)
1. Introduction to Engineering Design and Decision Making.
The Engineering Process. Historical Perspective. The Decision-Making Process. Beans in a Jar.
2. Design Options.
The Role of Options in Decision Making. System Objectives. Options in Physical Design. System Manufacture and Deployment. Options in System Operation. End-of-Life Options. Paring the Option Space.
3. Fundamentals of Probability Theory.
The Concept of Probability. Properties of a Random Variable. The Mathematics of Random Variables. Some Important Distributions. Bayes' Formula. Hypothesis Testing.
4. Monte Carlo Modeling.
The Notion of a Monte Carlo Model. Random Number Generators. Sampling a Distribution. Formulating Monte Carlo Models. Analysis of Monte Carlo Results. An Alternative Analysis of Monte Carlo Results
- Data Publicarii : 1996
- Editie : 1
- Format : Paperback
- Numar pagini : 469
- ISBN : 9780134613444