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Simulation — Raw Material Storage

Analysis and simulation to determine the adequacy of raw material storage space in the poultry sector.

Simulation — Raw Material Storage Sizing
CASE STUDY

Project Overview

A major company in the poultry sector needed to determine whether the designated space for daily incoming raw materials was adequate to meet production demands.

The space also needed to allow truck unloading upon arrival without creating logistical bottlenecks.

THE CHALLENGE

The Challenge

The company had to make a critical decision about whether to expand the storage space, a significant investment.

  • Verify the capacity of the existing space under normal operating conditions
  • Ensure truck unloading without production interruptions
  • Manage raw material arrival peaks
  • Avoid unnecessary structural investments
THE SOLUTION

The Solution

A comprehensive analysis of the production process was conducted and, through a discrete event simulation, it was determined that the available space was sufficient, with an average occupation of 70% of total capacity under normal operating conditions.

  • Process analysis: In-depth study of the raw material flow, from truck arrival times to consumption rates on the production lines, with real data collected over representative periods.
  • DES simulation model: Building a simulation model that faithfully replicates the behavior of the storage system, including the natural variability in arrival, unloading and consumption times.
  • Multiple scenarios: Running simulations with different operating scenarios, including days with normal volumes, production peaks and exceptional conditions.
  • Statistical analysis: Processing the results with statistical analysis to determine with confidence the average occupancy rate and the peak values.
RESULTS

Results

70%
70% average occupancy
30%
Sufficient space confirmed
0
Investment avoided
$$
Concrete data for decisions

The simulation confirmed that the space was adequate, avoiding an unnecessary structural investment and providing concrete data for operational planning.

TECHNOLOGIES

Technologies Used

✓
DES Simulation
✓
Statistical Analysis
✓
Process Modeling
✓
Capacity Optimization
✓
Poultry Sector
✓
Logistics

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