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19 Cards in this Set

  • Front
  • Back
Decision theory
represents a general approach to decision making. It is suitable for a wide range of operations management decisions. Among them are capacity planning, product and service design, equipment selection, and location planning.
Payoff table
Table showing the expected payoffs for each alternative in every possible state of nature.
Decision process steps
1. Identify the problem
2. Specify objectives and criteria for a solution
3. Develop suitable alternatives
4. Analyze and compare alternatives
5. SElect the best alternative
6. Implement the solution
7. Monitor to see that desired result is achieved.
What do managers tend to do to harm the decision process?
In many cases, they fail to appreciate the importance of each step of the decision making process. They may skip a step or not devote enough effort to completing it before jumping to the next. The managers ego can be a factor. Other managers demonstrate an inability to make a decision: they stall.
Bounded rationality
The limitation on decision making caused by costs, human abilities, time, technology, and availability of information.
suboptimization
The result of different departments each attempting to reach a solution that is optimum for that department
certainty
environment in which relevant parameters have known values.
Risk
Environment in which certain future events have probable outcomes
uncertainty
Environment in which it is impossible to assess the liklihood of various future events.
Maximin
Choose the alternative with the best of the worst payoffs.
maximax
Choose the alternative with the best possible payoff
Laplace
Choose the alternative with the best average payoff of any of the alternatives
Minimax regret
Choose the alternative that has the least of the worst regrets.
Regret (opportunity cost)
The difference between a given payoff and the best payoff for a state of nature.
Expected monetary value criterion
The best expected value among the alternatives
Decision tree
A schematic representation of the available alternatives and their possible consequences
Physical construction of decision tree
A decision tree is composed of a number of nodes that have branches. Square nodes indicate decision points, and circular nodes indicate chance events. Read the tree from left to right. After the tree has been drawn it is analyzed from right to left, that is starting with the last decision that must be made. For each decision choose the alternative with the greatest expected monetary value.
Expected Value of perfect information
The difference between the expected payoff with perfect information and the expected payoff under risk.
Sensitivity analysis
Determining the range of probability for which an alternative has the best expected payoff.