Zapof

Least-Cost Formulation: Advanced Comparison Model

1. Raw Ingredient Market Data

This table acts as your database. The "Price Index" column uses a simple logical check to flag ingredients that are currently trading above their 6-month average.

Ingredient

Current Price / Tonne

Avg. Price (6mo)

Status

Protein %

Fat %

Fiber %

A
B
C
D
E
F
G
1
Corn
$195.00
$210.00
🟢 Buy
8
3.8
2.2
2
Soybean Meal
$420.00
$450.00
🟢 Buy
46
1.5
3.5
3
Barley
$180.00
$175.00
🔴 High
11.5
1.9
5
4
Fish Meal
$1,200.00
$1,150.00
🔴 High
65
9
1

2. Component Cost Breakdown

The formula used for each row is: (Component kg / 1000) * (Price per Tonne)

Component

Mix A (Current) kg

Mix B (Optimized) kg

Cost A ($)

Cost B ($)

A
B
C
D
E
1
Corn
500
300
$97.50
$58.50
2
Soybean Meal
250
200
$105.00
$84.00
3
Barley
200
450
$36.00
$81.00
4
Fish Meal
50
50
$60.00
$60.00
5
TOTALS
1000
1000
$298.50
$283.50

3. Nutritional Validation (The Logic Layer)

A mix is only "least-cost" if it still meets the biological needs of the animal. We use SUMPRODUCT to calculate the total protein across the mix.

Nutrient Metric

Current Mix A (%)

Optimized Mix B (%)

Target Min(%)

Requirement Met?

A
B
C
D
E
1
Total Protein
21.05
20.03
16
✅ Met
2
Total Fat
3.11
2.75
3
❌ Not Met
3
Total Fiber
3.03
3.66
2.5
✅ Met

Form Template Insights

Please remove this form template insight sections before publishing.

Form Insight: Least-Cost Formulation (LCF)

What is this form for?

In the agriculture industry, feed accounts for up to 70% of total production costs. This form is a strategic decision-making tool that allows farmers and feed millers to input varying ingredient prices and nutritional profiles to find the most cost-effective "recipe."

The goal is to move away from fixed recipes and toward dynamic sourcing—buying what is cheap today while ensuring the animals still get the exact nutrition they need to stay healthy and productive.

 

Core Business Benefits

  • Maximize Margins: Identifies cheaper ingredient substitutes (like Barley for Corn) when market prices fluctuate.
  • Precision Nutrition: Prevents "nutrient giveaway" (feeding more expensive protein than the animal can actually absorb).
  • Risk Management: Real-time validation ensures that cost-cutting doesn't accidentally lead to malnutrition or digestive issues.
 

Understanding the Formulas

Your platform’s power lies in how it handles these four specific logic layers:

1. The Market Pulse (Logical Status)

  • =IF(Current Price > Avg Price, "🔴 High", "🟢 Buy")
  • Purpose: Alerts the user to market volatility. It identifies "buying opportunities" where the current price is below the historical average.

2. Weighted Cost Calculation

  • =(Component Weight / 1000) * Price Per Tonne
  • Purpose: This converts "Price per Tonne" into the actual cost contribution of that specific ingredient in a 1,000kg batch.

3. The SUMPRODUCT Multiplier (Nutritional Density)

  • =SUMPRODUCT(Weights Range, Nutritional Values Range) / 1000
  • Purpose: This is the most critical formula. Instead of just averaging numbers, it calculates the weighted impact.
  • Example: If you have 500kg of Corn (8% Protein) and 500kg of Soy (46% Protein), it calculates: (500 * 0.08) + (500 * 0.46) = 270kg of total protein per tonne ($27).

4. Constraint Validation (Safety Logic)

  • IF(Total Protein in Optimized Mix >=Target Protein Min, "✅ Met", "❌ Not Met")
  • Purpose: This acts as an "Automated Consultant." It interprets raw data into actionable advice, telling the user if their new, cheaper mix is biologically safe for their livestock.


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