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Esteve Nadal-Roig
Departament de Matemàtica, Universitat de Lleida, c/ Jaume II, 73, 25003 Lleida, Spain

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Journal article
Published: 25 July 2020 in Computers and Electronics in Agriculture
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This paper focuses on vertically integrated pig companies based on multi-farm systems. The aim is to address tactical decisions to plan production, increase flexibility, improve coordination and overall pig production under the uncertainty associated with future selling price. Decisions to purchase additional piglets and/or rent farms to adapt system capacity were considered. We propose a two-stage stochastic programming model with selling price as a stochastic parameter under a limited time horizon and a case study to illustrate their use. The model maximizes the net revenue of the system by considering a steady piglet production on sow farms and the corresponding animal flow according to growth stage throughout different farms such as breeding, rearing and fattening farms. All-in-all-out management and marketing time window to sell pigs to the abattoir were modeled on fattening farms. The stochastic solution for the case study provides an optimal first stage production plan regarding the purchase of 1016 piglets/week in addition to the 775 already produced beside the renting of rearing and fattening farms taking into account the different scenarios may happen in the future. The model is capable of identifying inefficiencies or bottlenecks in the system. We discuss the value of the stochastic solution of k€1683 compared to the deterministic solution, and concluding the valuable incorporation of uncertainty.

ACS Style

Esteve Nadal; Lluís M. Plà-Aragonès; Adela Pagès-Bernaus; Víctor M. Albornoz. A two-stage stochastic model for pig production planning in vertically integrated production systems. Computers and Electronics in Agriculture 2020, 176, 105615 .

AMA Style

Esteve Nadal, Lluís M. Plà-Aragonès, Adela Pagès-Bernaus, Víctor M. Albornoz. A two-stage stochastic model for pig production planning in vertically integrated production systems. Computers and Electronics in Agriculture. 2020; 176 ():105615.

Chicago/Turabian Style

Esteve Nadal; Lluís M. Plà-Aragonès; Adela Pagès-Bernaus; Víctor M. Albornoz. 2020. "A two-stage stochastic model for pig production planning in vertically integrated production systems." Computers and Electronics in Agriculture 176, no. : 105615.

Journal article
Published: 30 April 2019 in International Journal of Food Engineering
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This paper presents the development and adoption of a discrete event simulation model of a pig meat-packing plant located in Navarre (Spain). The simulation model was developed to represent all the tasks and pig meat cuts production performed in the plant and implemented in ExtendSim™ 9.2. The development was incremental as the whole model was made of different sub-models focused in different products as for example ham, ribbon or sirloin. The main utility of the proposed model was the economic assessment of pig meat processing and cutting production. Pietrain breed presented more homogeneity and a better performance than Large White breed at equal price of the same products. In addition, even the ham is the most important cut, the loin and the bacon showed the best relative economic value with 52–53 % and 44–45 %, respectively, depending on the breed.

ACS Style

Lluís M. Plà-Aragonés; Adela Pagès-Bernaus; Esteve Nadal; Jordi Mateo-Fornés; Pedro Tarrafeta; Daniel Mendioroz; Lorea Pérez-Cànovas; Sandy López-Nogales. Economic Assessment of Pig Meat Processing and Cutting Production by Simulation. International Journal of Food Engineering 2019, 1 .

AMA Style

Lluís M. Plà-Aragonés, Adela Pagès-Bernaus, Esteve Nadal, Jordi Mateo-Fornés, Pedro Tarrafeta, Daniel Mendioroz, Lorea Pérez-Cànovas, Sandy López-Nogales. Economic Assessment of Pig Meat Processing and Cutting Production by Simulation. International Journal of Food Engineering. 2019; ():1.

Chicago/Turabian Style

Lluís M. Plà-Aragonés; Adela Pagès-Bernaus; Esteve Nadal; Jordi Mateo-Fornés; Pedro Tarrafeta; Daniel Mendioroz; Lorea Pérez-Cànovas; Sandy López-Nogales. 2019. "Economic Assessment of Pig Meat Processing and Cutting Production by Simulation." International Journal of Food Engineering , no. : 1.

Journal article
Published: 06 September 2018 in Computers and Electronics in Agriculture
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This paper presents a production planning model for managing the pig herd production system operating as a Pig Supply Chain (PSC). The model is formulated as a multiperiod mixed-integer linear programming (MILP). The production system may represent a large farmer, a private company or a cooperative managing several farms operating according to the so-called three site system (sow, rearing and fattening farms; the latter under all-in-all-out management). The model is intended for practical use and illustrated with a case study based on a real instance in Catalonia (Spain). The model helps PSC managers when making decisions by providing an overall view for planning production over time. The objective is to maximize the total revenue calculated by the total amount of sales to the abattoir minus production costs. The latter depend on the feeding system, veterinary and medical care, labor and transportation. Practical results include a schedule of animal transfers between farms, batch management and deliveries to the abattoir from fattening farms, number of trips and the occupancy rate of all facilities. Bottlenecks in the production process regarding flow of animals, throughput and capacities along the PSC were detected beforehand allowing the company to react accordingly. Then, as three fattening farms were found to be redundant, farm occupation rate could be improved by 22% purchasing additional piglets. We estimated a maximum purchase price of 70.15 Euros per piglet beneficial for the company.

ACS Style

Esteve Nadal-Roig; Lluís M. Plà-Aragonès; Antonio Alonso-Ayuso. Production planning of supply chains in the pig industry. Computers and Electronics in Agriculture 2018, 161, 72 -78.

AMA Style

Esteve Nadal-Roig, Lluís M. Plà-Aragonès, Antonio Alonso-Ayuso. Production planning of supply chains in the pig industry. Computers and Electronics in Agriculture. 2018; 161 ():72-78.

Chicago/Turabian Style

Esteve Nadal-Roig; Lluís M. Plà-Aragonès; Antonio Alonso-Ayuso. 2018. "Production planning of supply chains in the pig industry." Computers and Electronics in Agriculture 161, no. : 72-78.

Journal article
Published: 29 May 2018 in Sustainability
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This paper presents a bi-objective model for optimizing pig deliveries to the abattoir accounting for total revenue and CO 2 emissions. Fattening farms house the most important stage in pig production, and operations on farms must be coordinated with the rest of the pig supply chain when batch management is generally applied. The novelty of the model lies in the change of attitude in producers towards a greener production, which is becoming one of the major concerns in our society. In this context, we enrich the classical approach focused on revenues with the addition of the CO 2 emissions from the pigs on the fattening farms. Emissions derived from feeding and transportation are considered since they are the most important sources of CO 2 . The model is tested using parameters representing a typical integrated Spanish fattening farm. Our findings reveal the impact and the relationship between revenues and emissions, highlight that the break-even is reached achieving 459 kg of CO 2 per pig, which corresponds to a reduction of 6.05%. On the other hand, the profit is slightly reduced by 4.48% in favor of the environment.

ACS Style

Esteve Nadal-Roig; Adela Pagès-Bernaus; Lluís M. Plà-Aragonès. Bi-Objective Optimization Model Based on Profit and CO2 Emissions for Pig Deliveries to the Abattoir. Sustainability 2018, 10, 1782 .

AMA Style

Esteve Nadal-Roig, Adela Pagès-Bernaus, Lluís M. Plà-Aragonès. Bi-Objective Optimization Model Based on Profit and CO2 Emissions for Pig Deliveries to the Abattoir. Sustainability. 2018; 10 (6):1782.

Chicago/Turabian Style

Esteve Nadal-Roig; Adela Pagès-Bernaus; Lluís M. Plà-Aragonès. 2018. "Bi-Objective Optimization Model Based on Profit and CO2 Emissions for Pig Deliveries to the Abattoir." Sustainability 10, no. 6: 1782.

Journal article
Published: 01 June 2016 in European Journal of Operational Research
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ACS Style

Wladimir E. Soto-Silva; Esteve Nadal-Roig; Marcela Gonzalez-Araya; Lluis M. Pla-Aragones. Operational research models applied to the fresh fruit supply chain. European Journal of Operational Research 2016, 251, 345 -355.

AMA Style

Wladimir E. Soto-Silva, Esteve Nadal-Roig, Marcela Gonzalez-Araya, Lluis M. Pla-Aragones. Operational research models applied to the fresh fruit supply chain. European Journal of Operational Research. 2016; 251 (2):345-355.

Chicago/Turabian Style

Wladimir E. Soto-Silva; Esteve Nadal-Roig; Marcela Gonzalez-Araya; Lluis M. Pla-Aragones. 2016. "Operational research models applied to the fresh fruit supply chain." European Journal of Operational Research 251, no. 2: 345-355.

Book chapter
Published: 01 January 2015 in Handbook of Healthcare Logistics
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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.

ACS Style

Esteve Nadal-Roig; Lluis M. Plà-Aragonés. Optimal Planning of Pig Transfers Along a Pig Supply Chain. Handbook of Healthcare Logistics 2015, 1 -18.

AMA Style

Esteve Nadal-Roig, Lluis M. Plà-Aragonés. Optimal Planning of Pig Transfers Along a Pig Supply Chain. Handbook of Healthcare Logistics. 2015; ():1-18.

Chicago/Turabian Style

Esteve Nadal-Roig; Lluis M. Plà-Aragonés. 2015. "Optimal Planning of Pig Transfers Along a Pig Supply Chain." Handbook of Healthcare Logistics , no. : 1-18.

Book chapter
Published: 01 January 2015 in Handbook of Healthcare Logistics
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This chapter presents a mixed integer linear programming developed to support operational decision making in the transport planning for a fruit logistic centre (FLC). The FLC is part of a fruit supply chain. Associated cooperatives store and supply fruits on demand to fulfil orders received at the logistic centre. The model mitigates the cost of manually managing the planning of trips to transfer fruits from storages at cooperatives to the logistic centre and avoiding idle times in the packaging lines. This is done determining the number of trips to do by available trucks and the load they have to carry to the logistic centre. The model is tested on a real case represented by an important Spanish cooperative during the winter season as a prior test to the more complex. In view of results, the model is ready to be integrated into the ERP of the logistic centre and extended to deal with the more complex case presented during harvest season.

ACS Style

Esteve Nadal; Lluís M. Plà-Aragonés. Optimal Transport Planning for the Supply to a Fruit Logistic Centre. Handbook of Healthcare Logistics 2015, 163 -177.

AMA Style

Esteve Nadal, Lluís M. Plà-Aragonés. Optimal Transport Planning for the Supply to a Fruit Logistic Centre. Handbook of Healthcare Logistics. 2015; ():163-177.

Chicago/Turabian Style

Esteve Nadal; Lluís M. Plà-Aragonés. 2015. "Optimal Transport Planning for the Supply to a Fruit Logistic Centre." Handbook of Healthcare Logistics , no. : 163-177.

Journal article
Published: 01 September 2014 in Journal of Animal Science
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This paper presents a multiperiod planning tool for multisite pig production systems based on Linear Programming (LP). The aim of the model is to help pig managers of multisite systems in making short-term decisions (mainly related to pig transfers between farms and batch management in fattening units) and mid-term or long-term decisions (according to company targets and expansion strategy). The model skeleton follows the structure of a three-site system that can be adapted to any multisite system present in the modern pig industry. There are three basic phases, namely, piglet production, rearing pigs, and fattening. Each phase involves a different set of farms; therefore, transportation between farms and delivering of pigs to the abattoir are under consideration. The model maximizes the total gross margin calculated from the income of sales to the abattoir and the production costs over the time horizon considered. Production cost depends on each type of farm involved in the process. Parameters like number of farms per phase and distance, farm capacity, reproduction management policies, feeding and veterinary expenses, and transportation costs are taken into account. The model also provides a schedule of transfers between farms in terms of animals to be transported and number of trucks involved. The use of the model is illustrated with a case study based on a real instance of a company located in Catalonia (Spain). Copyright © 2014. American Society of Animal Science.

ACS Style

E. Nadal-Roig; L. M. Plà. Multiperiod planning tool for multisite pig production systems1. Journal of Animal Science 2014, 92, 4154 -4160.

AMA Style

E. Nadal-Roig, L. M. Plà. Multiperiod planning tool for multisite pig production systems1. Journal of Animal Science. 2014; 92 (9):4154-4160.

Chicago/Turabian Style

E. Nadal-Roig; L. M. Plà. 2014. "Multiperiod planning tool for multisite pig production systems1." Journal of Animal Science 92, no. 9: 4154-4160.