LP model for optimal crop allocation using Excel Solver, maximising farm revenue subject to land, labour, water and demand constraints. Includes full sensitivity analysis with shadow-price interpretation.
** Operations Analytics**
A farm must decide how many hectares to allocate to each crop to maximise total revenue (or profit), given constraints on:
- Available land (total hectares)
- Labour hours per crop per season
- Water / irrigation capacity
- Minimum / maximum demand commitments per crop
- Non-negativity of all decision variables
Maximise Z = Σ (revenue_per_hectare_i × hectares_i)
Subject to
Σ hectares_i ≤ Total land available
Σ (labour_i × hectares_i) ≤ Labour hours available
Σ (water_i × hectares_i) ≤ Water capacity
hectares_i ≥ 0 for all i
(+ demand cap constraints per crop)
- Optimal allocation determined via Simplex LP in Excel Solver
- Shadow-price analysis identifies which resource constraints are binding
- Sensitivity report shows allowable increase / decrease ranges for RHS and objective coefficients
- Scenario analysis explores impact of relaxing binding constraints
- Binding constraints identified with their shadow prices (marginal value of one additional unit of resource)
- Non-binding constraints identified with their slack values
- Allowable ranges provided for strategic planning
Microsoft Excel · Solver (Simplex LP) · Sensitivity Report · Answer Report
.
├── Report/ # Full written analysis and interpretation
├── Solved File/ # Pre-configured Solver workbook
├── LICENSE
└── README.md
- Open the workbook in
Solved File/using Microsoft Excel - Navigate to
Data→Solver— parameters are already configured - Click Solve to reproduce the optimal crop allocation
- Review the Sensitivity and Answer reports for shadow-price interpretation
Full solution with LP formulation, Solver output, sensitivity analysis and strategic recommendations → see Report/ directory.
MIT-licensed · Author: Parth Badiger