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Multiperiod planning tool for multisite pig production systems.

E Nadal-Roig1, L M Plà2

  • 1Departament de Matemàtiques, Universitat de Lleida, Jaume II 73, E-25003 Lleida, Spain enr1@alumnes.udl.cat.

Journal of Animal Science
|July 10, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a Linear Programming (LP) model to optimize multisite pig production. The tool aids managers in crucial decisions regarding pig transfers and farm management for enhanced profitability.

Keywords:
decision support systemherd transportlinear programmingsow herd management

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Area of Science:

  • Agricultural Economics
  • Operations Research
  • Animal Science

Background:

  • Modern pig production involves complex multisite systems requiring efficient management.
  • Short-term (pig transfers, batch management) and long-term (expansion) decisions impact profitability.
  • Existing planning tools may not adequately address the intricacies of multisite operations.

Purpose of the Study:

  • To develop and present a multiperiod planning tool for multisite pig production systems.
  • To assist pig managers in optimizing pig transfers, batch management, and strategic planning.
  • To maximize the total gross margin within a defined time horizon.

Main Methods:

  • Linear Programming (LP) model formulation for multiperiod planning.
  • Incorporation of a three-site system adaptable to various multisite configurations.
  • Consideration of piglet production, rearing, and fattening phases, including inter-farm transportation.

Main Results:

  • The model maximizes total gross margin by optimizing income from abattoir sales against production costs.
  • It provides a detailed schedule for animal transfers between farms, including the number of trucks required.
  • The planning tool accounts for critical parameters such as farm capacity, management policies, and transportation costs.

Conclusions:

  • The developed LP model offers a robust solution for strategic and operational decision-making in multisite pig production.
  • It enables enhanced efficiency and profitability through optimized resource allocation and logistics.
  • The model's adaptability makes it a valuable asset for the modern pig industry, as demonstrated by a Spanish case study.