ANALYTICS EXAM 1
Bad decision
Does not consider all alternatives Does not consider all available info Can lead to positive outcomes
T/F: A payoff table is used to organize states of nature, decisions, and payoffs
True
T/F: unbounded solutions suggest that the objective function value becomes more and more optimal in the unbounded direction
True
3 steps in modeling
formulate (define problem, develop model, acquire data) solution (develop solution, test solution) interpret (analyze solution, how sensitive is your answer to changes in market, implement solution)
no combination of decision variables that meet all of the constraints
infeasible solution
no limit to min/max
unbounded solution
one combination of decision variables that provides max/min quantity
unique optimal solution
Opportunity costs are equated with _______
Regret
Corner points represent...
A point at which a set of constraints intersect
5 steps in the decision making process
1. Define the problem 2. List all of the alternatives (options) 3. Identify the outcomes for each alternative (state of nature) 4. Identify the payoff for each combination of alternatives and outcomes 5. Pick a decision analysis technique and make a decision
properties of linear programming: 1. model represents a ___________ problem 2. ________/________ some quantity 3. model has ___________ 4. must be ____________ available 4. model is ____________
1. business 2. max/min 3. limitations (constraints) 4. alternatives 5. linear
Assumptions about linear programming: 1. ___________ with assumptions 2. _____________ 3. ______________ 4. _____________
1. certainty 2. proportionality 3. additive 4. divisibility (solution doesn't need to be whole number)
basics of decision modeling: 1. model will represent ___________ 2. provides clear ____________ 3. saves __________ and ____________ 4. could be the only reasonable way to solve ____________ problems
1. reality 2. recommendations 3. time, money 4. complex
It's worse to make a...
Bad decision with a favorable outcome, because you just got lucky and you think you did the right thing and will continue to make bad decisions which don't work
Good decision
Based on logic Considers all options Consideds all available info at time Will sometimes give unfavorable results
T/F: adding more constraints will lead to a more optimal answer
False
On a graph, the region mapped by the constraints containing values of the decision variables that are allowed by the constraints set are called?
Feasible region
Which technique chooses the best of the best payoffs
Maximax
Mimi max regret =
Monday morning quarterbacking
Maxi Max =
Optimistic (good for venture capital)
Maxi min =
Pessimistic (good for banks)
more than 1 combination of decision variables that provides some max/min quantity
multiple optimal solution
