UPSC MainsMANAGEMENT-PAPER-II20213 Marks
Q7.

Decision Making: Payoff Table & Criteria

A decision problem has been expressed in the following payoff table : States of Nature Alternatives A1 A2 A3 E1 190 186 182 E2 164 162 166 E3 142 144 174 Which alternative will be selected if the following criterion is used ? (A) Maximax criterion (B) Maximin criterion (C) Hurwicz's criterion (Assume degree of optimism is 0.7)

How to Approach

This question tests the understanding of decision-making under uncertainty using different decision criteria. The approach involves calculating the values for each criterion (Maximax, Maximin, and Hurwicz) based on the provided payoff table. The answer should clearly define each criterion, demonstrate the calculations, and state the alternative selected by each. Structure the answer by first defining the criteria, then applying them to the table, and finally stating the selected alternative for each.

Model Answer

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Introduction

In the realm of management and decision science, organizations frequently encounter situations where the outcome of a decision is uncertain, dependent on future events known as ‘states of nature’. Decision-making under uncertainty necessitates employing specific criteria to guide the selection of the most appropriate course of action. Several such criteria exist, each reflecting a different attitude towards risk. This question requires the application of three such criteria – Maximax, Maximin, and Hurwicz – to a given payoff table to determine the optimal alternative. These techniques are fundamental to rational decision-making in complex environments.

Understanding the Decision Criteria

Before applying the criteria, let's define each one:

  • Maximax Criterion (Optimistic Approach): This criterion assumes the decision-maker is optimistic and selects the alternative that offers the highest possible payoff, assuming the best possible state of nature occurs.
  • Maximin Criterion (Pessimistic Approach): This criterion assumes the decision-maker is pessimistic and selects the alternative that offers the highest of the worst possible payoffs. It focuses on minimizing potential losses.
  • Hurwicz's Criterion (Compromise Approach): This criterion represents a balance between optimism and pessimism. It assigns a weight (degree of optimism, α) to the best possible payoff and (1-α) to the worst possible payoff for each alternative. The weighted average is then calculated, and the alternative with the highest weighted average is selected.

Applying the Criteria to the Payoff Table

The given payoff table is:

States of Nature Alternatives A1 Alternatives A2 Alternatives A3
E1 190 186 182
E2 164 162 166
E3 142 144 174

(A) Maximax Criterion

Identify the maximum payoff for each alternative:

  • A1: Max payoff = 190 (under E1)
  • A2: Max payoff = 186 (under E1)
  • A3: Max payoff = 174 (under E3)

The alternative with the highest maximum payoff is A1 (190). Therefore, A1 is selected under the Maximax criterion.

(B) Maximin Criterion

Identify the minimum payoff for each alternative:

  • A1: Min payoff = 142 (under E3)
  • A2: Min payoff = 144 (under E3)
  • A3: Min payoff = 166 (under E2)

The alternative with the highest minimum payoff is A3 (166). Therefore, A3 is selected under the Maximin criterion.

(C) Hurwicz's Criterion

Given the degree of optimism (α) = 0.7, the degree of pessimism is (1-α) = 0.3.

Calculate the weighted average for each alternative:

  • A1: (0.7 * 190) + (0.3 * 142) = 133 + 42.6 = 175.6
  • A2: (0.7 * 186) + (0.3 * 144) = 130.2 + 43.2 = 173.4
  • A3: (0.7 * 174) + (0.3 * 166) = 121.8 + 49.8 = 171.6

The alternative with the highest weighted average is A1 (175.6). Therefore, A1 is selected under Hurwicz's criterion.

Conclusion

In conclusion, the application of different decision criteria yields varying results. The Maximax criterion, reflecting optimism, selected alternative A1. The Maximin criterion, embodying pessimism, favored alternative A3. Hurwicz’s criterion, with a degree of optimism of 0.7, also selected A1. This demonstrates that the choice of criterion significantly impacts the decision, reflecting the decision-maker’s risk appetite and beliefs about the future. Understanding these criteria is crucial for effective decision-making in uncertain environments.

Answer Length

This is a comprehensive model answer for learning purposes and may exceed the word limit. In the exam, always adhere to the prescribed word count.

Additional Resources

Key Definitions

States of Nature
States of nature refer to the possible outcomes or conditions that can affect a decision but are beyond the control of the decision-maker. They represent the uncertainties inherent in the decision-making process.
Payoff Table
A payoff table is a matrix that displays the possible outcomes (payoffs) for each alternative under different states of nature. It is a fundamental tool in decision analysis.

Key Statistics

According to a 2023 report by McKinsey, approximately 70-90% of major corporate initiatives fail due to poor execution, often linked to inadequate risk assessment and decision-making under uncertainty.

Source: McKinsey & Company, "Why initiatives fail"

A study by Harvard Business Review found that companies that actively use data-driven decision-making are 23% more likely to achieve above-average profitability.

Source: Harvard Business Review, 2019

Examples

New Product Launch

A company launching a new product faces uncertainty regarding market demand (state of nature). They can choose between high marketing spend (A1) or low marketing spend (A2). The payoff depends on whether demand is high or low. Applying these criteria helps determine the optimal marketing strategy.

Frequently Asked Questions

What is the difference between decision making under certainty, risk, and uncertainty?

Under certainty, outcomes are known. Under risk, probabilities can be assigned to outcomes. Under uncertainty, probabilities are unknown, requiring criteria like Maximax, Maximin, and Hurwicz.

Topics Covered

ManagementDecision ScienceDecision TheoryPayoff MatrixRisk Analysis