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Decision Support Tools

Describe the advantage of using a payoff matrix for decision analysis, explain the steps to develop a payoff matrix, discuss the advantages of decision trees and when they are preferred over a payoff matrix, and analyze the profitability of two types of industrial robots in different market conditions.

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Added on  2023-04-21

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This document discusses various decision support tools such as payoff matrix and decision trees. It explains how to make optimal decisions based on different criteria and provides a simulation model for profit analysis. The document also includes examples and calculations.

Decision Support Tools

Describe the advantage of using a payoff matrix for decision analysis, explain the steps to develop a payoff matrix, discuss the advantages of decision trees and when they are preferred over a payoff matrix, and analyze the profitability of two types of industrial robots in different market conditions.

   Added on 2023-04-21

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DECISION SUPPORT TOOLS
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Decision Support Tools_1
Question 1
(a) The key advantage of using the payoff matrix is that it highlights the possible payoffs in
various scenarios which facilitates comparison. The first step in forming the payoff
matrix is to highlight the various possible states of nature and identify the possible
payoffs for the different alternatives based on underlying costs and benefits. This
information is then used to construct payoff matrix (Eriksson & Kovalainen, 2015).
(b) Decision trees have the advantage of representing the various intermediate stages which
lead to the computation of the overall payoff. In situations where it is necessary to review
these intermediate decisions or nodes, it makes sense to have a decision tree analysis as
payoff tends to highlight the potential payoff resulting from a given alternative under a
given state(Medhi, 2015).
(c) The requisite computations are carried out below.
(1) Payoff matric to represent the three possible alternatives and profit/losses under the two
market conditions is shown below (Flick, 2015).
Let
Alternative 1 ROB1
Alternative 2 ROB2
Alternative 3 To do nothing
(2) Optimum action and expected payoff if George is an optimist
The maximax decision means an optimist would maximize the maximum payoff of the
alternative(Hastie, Tibshirani & Friedman, 2016).
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Decision Support Tools_2
The maximum among the maximum value of the alternatives would be for alternative 1.
Therefore, it can be said that George should purchase large Robot i.e. ROB1 (Hillier, 2016).
(3) Optimum action and expected payoff if George is a pessimist
The maximin decision means a pessimist would maximize the minimum payoff of the
alternatives.
No conclusion can be drawn based on this because the decision is to do nothing. It means
George should no purchase any of the robots.
(4) Optimum action and expected payoff if George follow Laplace criterion
Both alternatives show same average and thus, as per Laplace criterion, George can purchase
any of the robot.
(5) Optimum action and expected payoff if George use criterion of regret
The criterion of regret decision contains the minimizes the maximum opportunity loss. The
respective opportunity loss table for George is shown below(Hastie, Tibshirani & Friedman,
2016).
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Decision Support Tools_3
Here, ROB2 alternative shows minimize of the maximum opportunity loss and hence, the
appropriate alternative for George would be ROB2.
(6) Optimum action and expected return when the probability of favourable market is 0.60
The expected monetary value is maximum for alternative 1 and hence, George should
purchase ROB1(Lind, Marchal & Wathen, 2016).
(7) Expected value of perfect information
Cost of survey = $5000
Expected value of best decision with sample information = $23,802
Expected monetary value of best decision without sample information = $14,000
Now,
EVPI = (23802-14000) = $9802
EVPI = (50,000) *0.6 + (0) *0.4 -14000 = $16, 000
Question 2
Cost of survey = $5000
(a) Let S1 indicate favourable market and S2 indicate unfavourable market
Y1 = Result is positive
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