PPT-Session 2a Decision Models -- Prof. Juran

2 Overview Sensitivity Analysis Goal Seek and Data Table Marketing and Finance examples Call Center LP More Sensitivity Analysis SolverTable Decision Models Prof Juran 3 Sensitivity Analysis. Operations -- Prof. Juran. 2. Overview. Basic definitions and metrics. Examples of some theoretical models. Operations -- Prof. Juran. 3. Basic Queueing Theory. A set of mathematical tools for the analysis of probabilistic systems of customers and servers. . Decision Models -- Prof. Juran. 2. Overview. Monte Carlo Simulation. Basic concepts and history. Excel Tricks. RAND(), IF, Boolean. Crystal Ball. Probability Distributions . Normal, Gamma, Uniform, Triangular. Decision Models -- Prof. Juran. 2. Overview. Finance Simulation Models. Forecasting. Retirement Planning. Butterfly Strategy. Risk Management. Introduction to . VaR. Currency Risk. Using . Historical Data in Simulations. Applied Regression -- Prof. Juran. 2. Outline for Session 2. More Simple Regression. Bottom Part of the Output . Hypothesis Testing. Significance of the slope and intercept parameters . Interval Estimation. Decision Models -- Prof. Juran. 2. Overview. Sensitivity Analysis. Goal Seek and Data Table. Marketing and Finance examples. Call Center LP. More Sensitivity Analysis. SolverTable. Decision Models -- Prof. Juran. Decision Models -- Prof. Juran. 2. Overview. More Network Flow Models . Assignment Model. Traveling Salesman Model. Decision Models -- Prof. Juran. 3. Professor Scheduling Example. Three professors must be assigned to teach six sections of finance. . GraphG prof 1 prof 2 prof 3 prof 4 phd 5 stud 6 stud 7 adv adv adv adv adv sup sup GraphI 1 prof 2,3 prof 4 prof 5 phd 6,7 stud adv adv adv sup 1Fortheformaldevelopmentinthispaper,itwillbeconve-nientt Decision Models -- Prof. Juran. 2. Overview. Forecasting Methods . Exponential Smoothing. Simple. Trend (Holt’s Method). Seasonality (Winters’ Method). Regression. Trend. Seasonality. Lagged Variables. 2. Overview. Basic definitions and metrics. Examples of some theoretical models. Operations -- Prof. Juran. 3. Basic Queueing Theory. A set of mathematical tools for the analysis of probabilistic systems of customers and servers. . 2. Outline . Types of Processes . Kristin. Benihana. Scientific Management. Operations -- Prof. Juran. 3. IV.. Continuous. Flow. III.. Assembly. Line. II.. Batch. I.. Job. Shop. Low. Volume,. One of a. Session 10b Decision Models -- Prof. Juran 2 Overview Marketing Simulation Models New Product Development Decision Uncertainty about competitor behavior Uncertainty about customer behavior Market Shares Peter . Poon Chong. , . Terrence R.M. . Lalla. Faculty . of Engineering, . The . University of the West Indies, . Trinidad. IConETech-2020, Faculty of Engineering, The UWI, St. Augustine, Trinidad and Tobago. 1. ERiMA. : . Envisioning Risk Models for Assessment of AI-based applications.. 2. Dr Huma Samin. 1. Post Doctoral Research Associate Computer Science. Durham University, UK. huma.samin@durham.ac.uk. Important Models in the Study of O.R Models. 1.Linear Programming Model: This model is used for resource allocation when the resources are limited and there are number competing candidates for the use of resources. The model may be used to...