What Every Engineer Should Know About Decision Making Under Uncertainty

1. Auflage 2002
ISBN: 978-0-8247-0808-5
Verlag: Taylor & Francis Inc

Buch, Englisch, 320 Seiten, Format (B × H): 158 mm x 236 mm, Gewicht: 544 g

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Wang, John X.

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung

Inhaltsverzeichnis

1. Engineering: Making Hard Decisions under Uncertainty 2. Engineering Judgment for Discrete Uncertain Variables 3. Decision Analysis Involving Continuous Uncertain Variables 4. Correlation of Random Variables and Estimating Confidence 5. Performing Engineering Predictions 6. Engineering Decision Variables – Analysis and Optimization 7. Project Scheduling and Budgeting under Uncertainty 8. Process Control – Decisions based on Charts and Indexes 9. Engineering Decision Making: A New Paradigm

Über Autor(innen)

Wang, John X.