risk management technology 22

risk management technology 22 Order Description please read this book:business_analytics_data_analysis_and_decision_making_6th_edition_by_albright there are 8 modules please read the chapters and write me a discussion for each module( half a page for every module discussion) Module 3 Chapter 6. Decision Making Under Uncertainty. Elements of a Decision Analysis, The PrecisionTree Add-In, Bayes’ Rule, Multistage Decision Problems, Incorporating Attitudes Toward Risk Discussion – Discuss a potential application of decision analysis that would benefit your organization? Module 4 Chapter 6. Decision Making Under Uncertainty (continued) Chapter 4 pdf – ‘Making Choices’ - EMV, decision path and strategy, risk profile, cumulative risk profile, deterministic dominance, stochastic dominance, multiple objectives Discussion – Discuss a problem with multiple objectives. Module 5 Chapter 6. Decision Making Under Uncertainty. (continued) Chapter 5 pdf – ‘Sensitivity Analysis’ – One way sensitivity analysis, two way sensitivity analysis. Discussion – How can sensitivity analysis aid a decision maker involved in a complex problem? Module 6 Chapter 13. Introduction to Optimization Modeling. Introduction to Optimization, A Two-Variable Product Mix Model, Sensitivity Analysis, Properties of Linear Models, Infeasibility and Unboundedness, A Larger Product Mix Model, A Multiperiod Production Model, A Comparison of Algebraic and Spreadsheet Models, A Decision Support System. Discussion – Discuss an application of a linear programming. Module 7 Chapter 14. Optimization Models. Workforce Scheduling Models, Blending Models, Logistics Models Discussion – Discuss a decision problem that would benefit from the application of a scheduling, blending or logistic model, Module 8 Chapter 14. Optimization Models (continued). Aggregate Planning Models, Financial Models, Integer Programming Models, Nonlinear Programming Models. Discussion – Discuss an application of a nonlinear or integer programming. Module 9 Chapter 15. Introduction to Simulation Modeling. Probability Distributions for Input Variables, Simulation and the Flaw of Averages, Simulation with Built-In Excel Tools, Introduction to the @RISK Add-in, The Effects of Input Distributions on Results. Discussion – Discuss an application of a probability distribution to represent some random process or event. Module 10 Chapter 16. Simulation Models. Discussion – Discuss an application of a simulation model.