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Medium Profitability Operations

Alcoholic Farmer

#Agriculture
ProHub Comment

This case teaches the critical lesson that profit per unit (acre) is not the sole optimization criterion—demand constraints matter equally. While agave yields $12,000/acre (highest), the farmer can only use 4 acres due to limited annual demand (800 tons). The candidate must balance unit profitability against capacity constraints to maximize total profit across 20 acres.

Estimated Time 26 minutes
Difficulty Medium
Source Queen's
10 / 100
Your client is a farmer. He has recently inherited 20 acres of land from a distant relative. Since he has little business knowledge, he has hired you to determine how to get the most profit out of the land.

Clarifying Information

  1. The land location does not impact the case
  2. Yes, it is extremely arable
  3. The farmer wants to farm the land, not use it for any possible alternative (leasing, partitioning, or selling for development)
  4. The farmer is a simple person and simply wants to earn a profit from the inherited land
  5. No specific definition of success beyond earning profit
Mock Interview
Interviewer

Your client is a farmer. He has recently inherited 20 acres of land from a distant relative. Since he has little business knowledge, he has hired you to determine how to get the most profit out of the land.

You

Thanks. Before analyzing, I'd like to clarify a few key questions...

Interviewer

Good question. Let me provide some background information...

You

Based on this, I suggest analyzing from these dimensions...

AI Score
Structure Analysis Communication Business Sense Quantitative
Practicing...
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Practice this case with AI Mock Interview

A farmer with 20 arable acres seeks to maximize profit. The solution requires calculating profit-per-acre for each crop option, then allocating acreage subject to annual demand constraints. The optimal mix (4 acres agave, 8 acres barley, 8 acres sugarcane) yields $136,000 annual profit.

Key Insights:

  1. Commodity businesses with limited demand require both per-unit profitability analysis and aggregate demand constraints
  2. Optimization problems require checking both local optima (highest profit per acre) and global optima (best allocation across capacity)
  3. Early discovery of the client’s strategic intent (wanting to farm alcohol crops vs. other land uses) saves time in framework development
  4. The Profit Tree framework (Revenue - Costs) is foundational for profitability cases and must account for volume/demand drivers