Process Analysis III. © The McGraw-Hill Companies, Inc., 2004 Operations -- Prof. Juran2 Outline Set-up times Lot sizes Effects on capacity Effects on.
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 8b. Decision Models -- Prof. Juran2 Overview Hypothesis Testing Review of the Basics –Single Parameter –Differences Between Two Parameters Independent.
Simulation Operations -- Prof. Juran. 2 Overview Monte Carlo Simulation –Basic concepts and history @Risk –Probability Distributions Uniform, Normal,
Session 2. Applied Regression -- Prof. Juran2 Outline for Session 2 More Simple Regression –Bottom Part of the Output Hypothesis Testing –Significance.
Session 9b. Decision Models -- Prof. Juran2 Overview Finance Simulation Models Securities Pricing –Black-Scholes –Electricity Option Miscellaneous –Monte.
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.
Simulation. © The McGraw-Hill Companies, Inc., 2004 Operations -- Prof. Juran2 Overview Monte Carlo Simulation –Basic concepts and history Excel Tricks.
