What Every Engineer Should Know About Decision Making Under Uncertaint

This book introduces general techniques for thinking systematically and quantitatively about uncertainty in engineering decision problems. It shows how conditional expectations and conditional cumulative distributions can be estimated in a simulation model.

Table des matières

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

A propos de l'auteur

Wang, John X.

Résumé

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.

Détails du produit

• Auteurs: John X Wang, John X. Wang, John X. (Lean Six Sigma Institute of Technol Wang, Wang John X.
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 02.12.2019
• EAN: 9780367447007
• ISBN: 978-0-367-44700-7
• Pages: 328
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Machines, ingénierie; Sciences sociales, droit, économie > Economie > Gestion; TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Engineering (General), BUSINESS & ECONOMICS / Quality Control, Production and quality control management