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Optimal Planning of Pig Transfers Along a Pig Supply Chain

In: Handbook of Operations Research in Agriculture and the Agri-Food Industry

Author

Listed:
  • Esteve Nadal-Roig

    (Universitat de Lleida)

  • Lluis M. Plà-Aragonés

    (Universitat de Lleida)

Abstract

This chapter presents the formulation and resolution of a stochastic mixed integer linear programming model for pig production planning. The aim of the model is to optimize the entire pig supply chain according to the number of farms operating for the same company or cooperative. The model maximizes the total revenue calculated from the income of sales to the abattoir and the production costs. Production cost depends on each type of farm involved in the process. Factors like farm capacity, trucks available, reproduction management policies and transportation costs are taken into account. The proposed model considers a medium-term planning horizon and specifically provides optimal transport planning in terms of animals to be transported and number of trucks needed. Uncertainty in sale prices is explicitly incorporated via a finite set of scenarios. The algebraic modelling software OPL Studio, in combination with the solver CPLEX both from IBM ILOG are used to solve the different instances considered. The results of an averaged single scenario (deterministic instance) are useful in assessing the suitability of the stochastic approach. Finally, the conclusions drawn from the study including an outlook are presented.

Suggested Citation

  • Esteve Nadal-Roig & Lluis M. Plà-Aragonés, 2015. "Optimal Planning of Pig Transfers Along a Pig Supply Chain," International Series in Operations Research & Management Science, in: Lluis M. Plà-Aragonés (ed.), Handbook of Operations Research in Agriculture and the Agri-Food Industry, edition 127, chapter 0, pages 1-18, Springer.
    • Handle: RePEc:spr:isochp:978-1-4939-2483-7_1
    DOI: 10.1007/978-1-4939-2483-7_1
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