UPSC MainsMANAGEMENT-PAPER-II201110 Marks
Q22.

Question 22

The company is presented with three options : make in house, buy locally, import. There are three market scenarios: demand may increase, demand may decrease and demand may remain at the present level. The table below gives the expected profit the company will make for each combination. Which option should the company choose if the probability of demand increasing is 0-3, probability of demand decreasing is 0.45 and probability of demand remaining as at present level is 0.25?

How to Approach

This question requires a quantitative analysis using decision-making under uncertainty. The core concept is Expected Monetary Value (EMV). We need to calculate the EMV for each option (make, buy locally, import) by multiplying the profit for each scenario (demand increase, decrease, remain constant) with its corresponding probability and then summing these products. The option with the highest EMV should be chosen. The answer should clearly demonstrate the calculation process and state the optimal decision.

Model Answer

0 min read

Introduction

In the realm of business strategy and operations management, organizations frequently encounter situations where future outcomes are uncertain. Effective decision-making under such conditions necessitates a systematic approach to evaluate potential options, considering both the potential payoffs and the likelihood of various scenarios. This question presents a classic scenario involving a company facing a sourcing decision – whether to manufacture in-house, procure locally, or import – amidst fluctuating demand forecasts. Utilizing the principles of Expected Value analysis, we can determine the optimal course of action that maximizes the company’s expected profit.

Calculating Expected Monetary Value (EMV)

The Expected Monetary Value (EMV) is a statistical concept used in decision-making to determine the average outcome that can be expected if a decision is made, considering the probabilities of different scenarios. For each option, we will calculate the EMV as follows:

EMV = (Probability of Demand Increase * Profit with Increased Demand) + (Probability of Demand Decrease * Profit with Decreased Demand) + (Probability of Demand Remaining Constant * Profit with Constant Demand)

Profit Table (Given)

Let's assume the following profit values from the provided table (since the table itself wasn't provided in the prompt, we'll use example values for demonstration. The solution process remains the same regardless of the actual values):

Option Demand Increase Demand Decrease Demand Constant
Make In-House 100 -20 50
Buy Locally 80 -10 40
Import 120 -30 60

Probabilities (Given)

  • Probability of Demand Increasing: 0.3
  • Probability of Demand Decreasing: 0.45
  • Probability of Demand Remaining Constant: 0.25

EMV Calculation for Each Option

1. Make In-House

EMV (Make) = (0.3 * 100) + (0.45 * -20) + (0.25 * 50) = 30 - 9 + 12.5 = 33.5

2. Buy Locally

EMV (Buy) = (0.3 * 80) + (0.45 * -10) + (0.25 * 40) = 24 - 4.5 + 10 = 29.5

3. Import

EMV (Import) = (0.3 * 120) + (0.45 * -30) + (0.25 * 60) = 36 - 13.5 + 15 = 37.5

Decision

Comparing the EMVs calculated for each option:

  • EMV (Make) = 33.5
  • EMV (Buy) = 29.5
  • EMV (Import) = 37.5

The option with the highest EMV is Import, with a value of 37.5. Therefore, the company should choose to import to maximize its expected profit.

Sensitivity Analysis

While the EMV provides a clear recommendation, it's crucial to acknowledge the sensitivity of the results to changes in probabilities or profit estimates. A slight alteration in the probability of demand increasing or decreasing could shift the optimal decision. Therefore, conducting a sensitivity analysis – examining how the EMV changes with varying input values – is a prudent step to assess the robustness of the recommendation.

Conclusion

Based on the provided probabilities and profit estimates, the company should opt for the import option, as it yields the highest expected monetary value of 37.5. This decision aligns with the principles of rational decision-making under uncertainty. However, it is essential to remember that EMV is just one tool, and a comprehensive risk assessment, including sensitivity analysis, should be conducted before finalizing the strategy. Continuous monitoring of market conditions and adjustments to the sourcing strategy may be necessary to maintain optimal profitability.

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

Expected Monetary Value (EMV)
EMV is a statistical measure used in decision-making to calculate the average outcome of a decision, considering the probabilities of different possible outcomes and their associated payoffs.
Sensitivity Analysis
Sensitivity analysis is a technique used to determine how much the outcome of a decision will change if the input variables are altered. It helps assess the robustness of a decision and identify critical factors.

Key Statistics

Global trade volume reached $32.6 trillion in 2022, highlighting the significant role of import/export decisions for businesses worldwide.

Source: World Trade Organization (WTO), 2023

In 2023, India's imports were valued at approximately $714 billion, demonstrating the significant reliance on international sourcing for various industries.

Source: Directorate General of Commercial Intelligence and Statistics (DGCIS), 2023 (Knowledge Cutoff)

Examples

Toyota's Just-in-Time Inventory

Toyota's success with its Just-in-Time (JIT) inventory system demonstrates the importance of sourcing decisions. They strategically choose suppliers (local and international) based on cost, quality, and reliability to minimize inventory costs and respond quickly to changing demand.

Frequently Asked Questions

What if the probabilities are unknown?

If probabilities are unknown, one can use subjective estimates based on expert opinions, historical data (if available), or conduct market research to approximate them. Alternatively, decision trees can be used to analyze different scenarios without assigning specific probabilities.