Session 6a. Decision Models -- Prof. Juran2 Overview Multiple Objective Optimization Two Dimensions More than Two Dimensions Finance and HR Examples Efficient.
Session 8a. Decision Models -- Prof. Juran2 Overview Operations Simulation Models Reliability Analysis –RANK, VLOOKUP, MIN Inventory Order Quantities.
Session 6. Applied Regression -- Prof. Juran2 Outline Residual Analysis Are they normal? Do they have a common variance? Multicollinearity Autocorrelation,
Process Analysis II. © The McGraw-Hill Companies, Inc., 2004 Operations -- Prof. Juran2 Outline Types of Processes Kristin Benihana Scientific Management.
Session 7a. Decision Models -- Prof. Juran2 Overview Monte Carlo Simulation –Basic concepts and history Excel Tricks –RAND(), IF, Boolean Crystal Ball.
Session 4. Applied Regression -- Prof. Juran2 Outline for Session 4 Summary Measures for the Full Model –Top Section of the Output –Interval Estimation.
Session 6b. Decision Models -- Prof. Juran2 Overview Decision Analysis Uncertain Future Events Perfect Information Partial Information –The Return of.
Session 7. Applied Regression -- Prof. Juran2 Outline Chi-square Goodness-of-Fit Tests Fit to a Normal Simulation Modeling Autocorrelation, serial correlation.
