1st Edition

What Every Engineer Should Know About Decision Making Under Uncertainty

By John X. Wang Copyright 2002
    328 Pages
    by CRC Press

    320 Pages
    by CRC Press

    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.

    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


    Wang, John X.