Chapter 3: Decision Analysis Flashcards
a tool comprising of different methodologies necessary to address decision in quantitative manner
Decision Analysis
a systematic, quantitative and interactive approach to addressing and evaluating important choices
Decision Analysis
used to develop an optimal strategy when a decision maker is faced with several decision alternatives
Decision Analysis
from optimization and optimal solution where decision analysis starts from formulating problem
Optimal Strategy
It is the first step in the decision analysis process
Problem Formulation
Parts of Problem Formulation
-Decision Alternatives
-State of Nature (Chance Events)
-Resulting Payoffs
are the different possible strategies the decision maker can employ
Decision Alternatives
uncertain future events or weak demand, moderate demand, strong demand
State of Nature (Chance of Events)
consequences resulting from decision alternatives and chance events
Resulting Payoffs
Management scientist and professor from Stanford University that defined the decision analysis discipline in 1964 and has played a major role in the research, education, and application of many aspects of the field.
Ronald Howard
Approaches in Decision Making without Probabilities (Decision Making under Uncertainty)
-Optimistic Approach
-Conservative Approach
-Laplace
-Minimax Regret Approach
Approaches in Decision Making with Probabilities (highest expected value (EV) or decision with best expected return)
Decision Tree
a chronological representation of the decision problem
Decision Tree
largest possible payoff/ largest in strong demand (favorable market)
Optimistic Approach
Maximax/ Maximum of all maximum
Optimistic Approach