Optimal Planning of Pig Transfers Along a Pig Supply Chain

Esteve Nadal-Roig () and Lluis M. Plà-Aragonés ()
Additional contact information
Esteve Nadal-Roig: Universitat de Lleida
Lluis M. Plà-Aragonés: Universitat de Lleida

Chapter Chapter 1 in Handbook of Operations Research in Agriculture and the Agri-Food Industry, 2015, pp 1-18 from Springer

Abstract: 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.

Keywords: Stochastic linear programming; Pig supply chain management; Transport planning (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4939-2483-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9781493924837

DOI: 10.1007/978-1-4939-2483-7_1

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().