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Prof. Lluis M. Plà
University of Lleida – AGROTECNIO-CERCA Center

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Research Keywords & Expertise

0 Discrete Event Simulation
0 Stochastic Optimization
0 Decision Support Systems
0 MDP
0 Pig Production

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Pig Production
OR in Agriculture
Discrete Event Simulation
Decision Support Systems

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Journal article
Published: 08 March 2021 in Animals
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The selection of porcine reproductive and respiratory syndrome (PRRS) resilient sows has been proposed as a strategy to control this disease. A discrete event-based simulation model was developed to mimic the outcome of farms with resilient or susceptible sows suffering recurrent PRRSV outbreaks. Records of both phenotypes were registered in a PRRSV-positive farm of 1500 sows during three years. The information was split in the whole period of observation to include a PRRSV outbreak that lasted 24 weeks (endemic/epidemic or En/Ep) or only the endemic phase (En). Twenty simulations were modeled for each farm: Resilient/En, Resilient/En_Ep, Susceptible/En, and Susceptible/En_Ep during twelve years and analyzed for the productive performance and economic outcome, using reference values. The reproductive parameters were generally better for resilient than for susceptible sows in the PRRSV En/Ep scenario, and the contrary was observed in the endemic case. The piglet production cost was always lower for resilient than for susceptible sows but showed only significant differences in the PRRSV En/Ep scenario. Finally, the annual gross margin by sow is significantly better for resilient than for susceptible sows for the PRRSV endemic (12%) and endemic/epidemic scenarios (17%). Thus, the selection of PRRSV resilient sows is a profitable approach for producers to improve disease control.

ACS Style

Gloria Abella; Adela Pagès-Bernaus; Joan Estany; Ramona Pena; Lorenzo Fraile; Lluis Plà-Aragonés. Using PRRSV-Resilient Sows Improve Performance in Endemic Infected Farms with Recurrent Outbreaks. Animals 2021, 11, 740 .

AMA Style

Gloria Abella, Adela Pagès-Bernaus, Joan Estany, Ramona Pena, Lorenzo Fraile, Lluis Plà-Aragonés. Using PRRSV-Resilient Sows Improve Performance in Endemic Infected Farms with Recurrent Outbreaks. Animals. 2021; 11 (3):740.

Chicago/Turabian Style

Gloria Abella; Adela Pagès-Bernaus; Joan Estany; Ramona Pena; Lorenzo Fraile; Lluis Plà-Aragonés. 2021. "Using PRRSV-Resilient Sows Improve Performance in Endemic Infected Farms with Recurrent Outbreaks." Animals 11, no. 3: 740.

Editorial
Published: 17 May 2019 in Computers and Electronics in Agriculture
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ACS Style

Héctor Cancela; Andrew Higgins; Adela Pagès-Bernaus; Lluis Miquel Plà-Aragonès. Prologue – BigData and DSS in agriculture. Computers and Electronics in Agriculture 2019, 161, 1 -3.

AMA Style

Héctor Cancela, Andrew Higgins, Adela Pagès-Bernaus, Lluis Miquel Plà-Aragonès. Prologue – BigData and DSS in agriculture. Computers and Electronics in Agriculture. 2019; 161 ():1-3.

Chicago/Turabian Style

Héctor Cancela; Andrew Higgins; Adela Pagès-Bernaus; Lluis Miquel Plà-Aragonès. 2019. "Prologue – BigData and DSS in agriculture." Computers and Electronics in Agriculture 161, no. : 1-3.

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 April 2017 in Computers and Electronics in Agriculture
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Optimization models to support fresh produce supply chain are proposed.Tactical decisions for purchase, transportation and storing are considered.The models were applied to a real case for the Chilean dried apple industry.A bi-objective method is used to analyze purchasing and storing costs.An average reduction of 8% in total cost was achieved. This research paper presents optimization models that deal with three kinds of related decisions in horticulture, which are purchasing, transporting and storing fresh produce. The study is intended to assist in decision making in a fresh apple processing plant in order to ensure its annual supply. First, a fresh produce purchasing model is proposed to minimize purchasing costs, producer administration costs and costs for transport to the classification center while taking into consideration the fresh produce offered by each producer, storage capacity and the type of storage for the fruit. These parameters will aid in selecting the producers providing the best price-storage time-distance combination for the purchase. Second, a fresh produce storage model is proposed for minimizing the cost of storage and transport to the classification center (located in the actual processing plant) for each fresh product purchased. Finally, a third integrated model is proposed to give a joint solution to purchasing, transporting and storing the fresh produce. The models are applied in a real case study in an apple dehydration plant in the Maule region of Chile, where average savings were obtained of about 8% with respect to the real costs of purchasing, storing and transporting the fresh produce during the processing period.

ACS Style

Wladimir E. Soto-Silva; Marcela Gonzalez-Araya; Marcos A. Oliva-Fernández; Lluís M. Plà-Aragonés. Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain. Computers and Electronics in Agriculture 2017, 136, 42 -57.

AMA Style

Wladimir E. Soto-Silva, Marcela Gonzalez-Araya, Marcos A. Oliva-Fernández, Lluís M. Plà-Aragonés. Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain. Computers and Electronics in Agriculture. 2017; 136 ():42-57.

Chicago/Turabian Style

Wladimir E. Soto-Silva; Marcela Gonzalez-Araya; Marcos A. Oliva-Fernández; Lluís M. Plà-Aragonés. 2017. "Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain." Computers and Electronics in Agriculture 136, no. : 42-57.

Journal article
Published: 22 June 2016 in SpringerPlus
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Production planning models are achieving more interest for being used in the primary sector of the economy. The proposed model relies on the formulation of a location model representing a set of farms susceptible of being selected by a grocery shop brand to supply local fresh products under seasonal contracts. The main aim is to minimize overall procurement costs and meet future demand. This kind of problem is rather common in fresh vegetable supply chains where producers are located in proximity either to processing plants or retailers. The proposed two-stage stochastic model determines which suppliers should be selected for production contracts to ensure high quality products and minimal time from farm-to-table. Moreover, Lagrangian relaxation and parallel computing algorithms are proposed to solve these instances efficiently in a reasonable computational time. The results obtained show computational gains from our algorithmic proposals in front of the usage of plain CPLEX solver. Furthermore, the results ensure the competitive advantages of using the proposed model by purchase managers in the fresh vegetables industry.

ACS Style

Jordi Mateo; Lluis M. Pla; Francesc Solsona; Adela Pagès. A production planning model considering uncertain demand using two-stage stochastic programming in a fresh vegetable supply chain context. SpringerPlus 2016, 5, 1 -16.

AMA Style

Jordi Mateo, Lluis M. Pla, Francesc Solsona, Adela Pagès. A production planning model considering uncertain demand using two-stage stochastic programming in a fresh vegetable supply chain context. SpringerPlus. 2016; 5 (1):1-16.

Chicago/Turabian Style

Jordi Mateo; Lluis M. Pla; Francesc Solsona; Adela Pagès. 2016. "A production planning model considering uncertain demand using two-stage stochastic programming in a fresh vegetable supply chain context." SpringerPlus 5, no. 1: 1-16.

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.

Conference paper
Published: 01 January 2016 in Proceedings of 5th the International Conference on Operations Research and Enterprise Systems
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ACS Style

Wladimir E. Soto-Silva; Marcela Gonzalez-Araya; Lluis M. Pla-Aragones; Esteve Nadal-Roig. Transport Planning in Processing Plants for the Fruit Industry. Proceedings of 5th the International Conference on Operations Research and Enterprise Systems 2016, 1 .

AMA Style

Wladimir E. Soto-Silva, Marcela Gonzalez-Araya, Lluis M. Pla-Aragones, Esteve Nadal-Roig. Transport Planning in Processing Plants for the Fruit Industry. Proceedings of 5th the International Conference on Operations Research and Enterprise Systems. 2016; ():1.

Chicago/Turabian Style

Wladimir E. Soto-Silva; Marcela Gonzalez-Araya; Lluis M. Pla-Aragones; Esteve Nadal-Roig. 2016. "Transport Planning in Processing Plants for the Fruit Industry." Proceedings of 5th the International Conference on Operations Research and Enterprise Systems , no. : 1.

Book chapter
Published: 01 January 2015 in Handbook of Healthcare Logistics
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Pig production is very important in Spain and increasing competition has led the pig industry to look for ways of improving the efficiency of the production process. This chapter presents the analysis of technical efficiency in sow farms vertically integrated into the same company comparing parametric and non-parametric approaches. Empirical data from 96 Spanish sow farms classified into 2 groups depending on the final product, that is, farms producing weaned piglets (FPP) or feeder pigs (FPFP) were available. The results for the stochastic frontier production function for feeder pigs and weaned piglets exhibit problems related to multicolinearity. Even though, the observed trends of technical efficiencies calculated from both approaches were consistent. The results revealed considerable efficiencies in this study being FPP more efficient that FPFP (0.99 vs. 0.87 with the parametric approach, and 0.93 vs. 0.91 with VRS-DEA model). Scale efficiency was also very high showing that 58 % of FPP and 45 % of FPFP are small farms in which efficiency gains would be expected by increasing the size. In addition, farm-specific factors affecting productive inefficiencies from CRS–DEA and VRS–DEA models were explored using a Tobit model. The output, number of sow, feed consumed, and artificial insemination were the variables showing significant coefficients at the 5 % level. Finally, the efficiency measures presented in this study are similar to other European studies and demonstrate the higher technical efficiency of the pig sector in Spain.

ACS Style

Xavier Ezcurra; Lluís M. Plà-Aragonés. Technical Efficiency of Sow Farms: A Parametric and Non-parametric Approach. Handbook of Healthcare Logistics 2015, 307 -326.

AMA Style

Xavier Ezcurra, Lluís M. Plà-Aragonés. Technical Efficiency of Sow Farms: A Parametric and Non-parametric Approach. Handbook of Healthcare Logistics. 2015; ():307-326.

Chicago/Turabian Style

Xavier Ezcurra; Lluís M. Plà-Aragonés. 2015. "Technical Efficiency of Sow Farms: A Parametric and Non-parametric Approach." Handbook of Healthcare Logistics , no. : 307-326.

Book chapter
Published: 01 January 2015 in Handbook of Healthcare Logistics
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In this chapter the authors present and discuss the problem of planning sugarcane harvesting–transportation–delivering to the mill for the supply chain management of the sugarcane. Furthermore, an optimization model for practical use is formulated and embedded into a decision support system (DSS) for planning daily operations. The objective function seeks to minimize transportation costs while assuring cane supply to the sugar mill. The model determines the fields to harvest, the cutting–loading–transport means for such operation, and the roster for each employee. Although the model has been developed and tested under Cuban conditions, it can easily be adapted to different situations updating the parameters of the model and the database of the DSS. Main reported savings represent 8 % of the fuel cost, apart from the workload reduction of mill managers in planning tasks.

ACS Style

Esteban López-Milán; Lluis M. Plà-Aragonés. Optimization of the Supply Chain Management of Sugarcane in Cuba. Handbook of Healthcare Logistics 2015, 107 -127.

AMA Style

Esteban López-Milán, Lluis M. Plà-Aragonés. Optimization of the Supply Chain Management of Sugarcane in Cuba. Handbook of Healthcare Logistics. 2015; ():107-127.

Chicago/Turabian Style

Esteban López-Milán; Lluis M. Plà-Aragonés. 2015. "Optimization of the Supply Chain Management of Sugarcane in Cuba." Handbook of Healthcare Logistics , no. : 107-127.

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.

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.

Journal article
Published: 03 July 2014 in Annals of Operations Research
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This special volume focuses on operations research (OR) methods and applications concerning the topic of natural resources management. It is related to and follows a former one (the volume number 190) devoted to OR in agriculture and forest management. Most of the papers included in this volume are connected with forestry, crop, livestock, and fish farming, while a few of them deal with water management and land and environmental issues. All in all, the present volume is another effort to bring together contributions from different disciplines and countries in the world and with the common goal of applying the most advanced results in theoretical and applied sciences to natural resources management. In the end, the volume has collected twenty-five high quality papers covering many aspects of operations research in natural resources management, considering both theoretical issues and applications.

ACS Style

Lluís M. Plà-Aragonés; Béla Vizvári; Anders Ringgaard Kristensen. Methods and applications in natural resources management. Annals of Operations Research 2014, 219, 1 -3.

AMA Style

Lluís M. Plà-Aragonés, Béla Vizvári, Anders Ringgaard Kristensen. Methods and applications in natural resources management. Annals of Operations Research. 2014; 219 (1):1-3.

Chicago/Turabian Style

Lluís M. Plà-Aragonés; Béla Vizvári; Anders Ringgaard Kristensen. 2014. "Methods and applications in natural resources management." Annals of Operations Research 219, no. 1: 1-3.

Journal article
Published: 01 July 2014 in Journal of the Operational Research Society
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This paper discusses the future of operational research (OR) for the agricultural industries in a broad sense, including horticulture and viticulture during a period of increased pressure on natural resources. The authors use their experience in the field along with published literature, to draw insights into new opportunities for OR, and how the OR community might adapt to realise these opportunities best. Trends in demand for food security and biofuels, the quest for sustainability, information technology (IT), and commercial power create new opportunities to support strategic investment and operations management within both primary production and the related supply chains. To realise such potential, the agricultural OR community needs to improve management of stakeholder relations, interdisciplinary synthesis, and the successful application of OR. agriculture; policy analysis; operations management; strategic planning The OR ecosystem model. General agricultural supply chain highlighting typical OR problems and actors. Already a subscriber? Log in now or Register for online access. Members of the Operational Research Society receive access to Journal of the Operational Research Society as part of their membership. Access is available through the Operational Research Society web site.

ACS Style

Lluís M. Plà-Aragonés; Daniel Sandars; Andrew J Higgins. A perspective on operational research prospects for agriculture. Journal of the Operational Research Society 2014, 65, 1078 -1089.

AMA Style

Lluís M. Plà-Aragonés, Daniel Sandars, Andrew J Higgins. A perspective on operational research prospects for agriculture. Journal of the Operational Research Society. 2014; 65 (7):1078-1089.

Chicago/Turabian Style

Lluís M. Plà-Aragonés; Daniel Sandars; Andrew J Higgins. 2014. "A perspective on operational research prospects for agriculture." Journal of the Operational Research Society 65, no. 7: 1078-1089.

Journal article
Published: 19 October 2013 in Annals of Operations Research
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The structure of the pork sector in world economy is changing. In many countries the number of pig farms is being reduced, while the herd size of the remaining ones is increasing. Pig production process is partitioned into different phases with specialized farms devoted to piglet production, rearing or fattening pigs are common instead of old farrowing-to-fattening farms. Pig farms have tended to be integrated and coordinate their operations into pork supply chains by using tighter vertical coordination linkages. This paper presents a description of the pork supply chain, stressing the role of pig farming as one of the key issues to improve pork supply chain efficiency. A survey of literature to support the decision making on the pork sector has revealed that most papers had only considered individual farm operations, while the pork supply chain management involves the coordination of sets of farm units at different stages of production. Thus, our contribution emphasizes the importance and complexity of new decision-making tasks regarding the modern organization of the pork sector. All these elements make it possible to envisage new opportunities for operations research methods to be successfully applied to the pork supply chain. Likewise, we have identified some existing gaps in the literature that we believe should be addressed in the near future.

ACS Style

Sara V. Rodríguez; Lluis M. Plà; Javier Faulin. New opportunities in operations research to improve pork supply chain efficiency. Annals of Operations Research 2013, 219, 5 -23.

AMA Style

Sara V. Rodríguez, Lluis M. Plà, Javier Faulin. New opportunities in operations research to improve pork supply chain efficiency. Annals of Operations Research. 2013; 219 (1):5-23.

Chicago/Turabian Style

Sara V. Rodríguez; Lluis M. Plà; Javier Faulin. 2013. "New opportunities in operations research to improve pork supply chain efficiency." Annals of Operations Research 219, no. 1: 5-23.

Journal article
Published: 05 April 2013 in Annals of Operations Research
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In this work the authors present a Decision Support System (DSS) for planning daily operations in the sugar cane supply chain. The supply chain model is based on a mixed integer linear programming model. The model objective is to minimize transportation costs while assuring cane supply to the sugar mill. The model determines the fields to harvest, the cutting-loading-transport means for such operation, and the roster for each employee. The DSS has been tested under Cuban conditions but easily can be adapted to different situations updating the parameters of the model. Reported savings represent an 8 % of the fuel cost.

ACS Style

Esteban López-Milán; Lluis M. Plà-Aragonés. A decision support system to manage the supply chain of sugar cane. Annals of Operations Research 2013, 219, 285 -297.

AMA Style

Esteban López-Milán, Lluis M. Plà-Aragonés. A decision support system to manage the supply chain of sugar cane. Annals of Operations Research. 2013; 219 (1):285-297.

Chicago/Turabian Style

Esteban López-Milán; Lluis M. Plà-Aragonés. 2013. "A decision support system to manage the supply chain of sugar cane." Annals of Operations Research 219, no. 1: 285-297.

Journal article
Published: 01 February 2012 in Livestock Science
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ACS Style

Sara V. Rodríguez-Sánchez; Lluís M. Plà-Aragonés; Victor M. Albornoz. Modeling tactical planning decisions through a linear optimization model in sow farms. Livestock Science 2012, 143, 162 -171.

AMA Style

Sara V. Rodríguez-Sánchez, Lluís M. Plà-Aragonés, Victor M. Albornoz. Modeling tactical planning decisions through a linear optimization model in sow farms. Livestock Science. 2012; 143 (2-3):162-171.

Chicago/Turabian Style

Sara V. Rodríguez-Sánchez; Lluís M. Plà-Aragonés; Victor M. Albornoz. 2012. "Modeling tactical planning decisions through a linear optimization model in sow farms." Livestock Science 143, no. 2-3: 162-171.

Journal article
Published: 01 June 2011 in Livestock Science
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ACS Style

Sara V. Rodriguez; Tina Birk Jensen; Lluis M. Pla; Anders Ringgaard Kristensen. Optimal replacement policies and economic value of clinical observations in sow herds. Livestock Science 2011, 138, 207 -219.

AMA Style

Sara V. Rodriguez, Tina Birk Jensen, Lluis M. Pla, Anders Ringgaard Kristensen. Optimal replacement policies and economic value of clinical observations in sow herds. Livestock Science. 2011; 138 (1-3):207-219.

Chicago/Turabian Style

Sara V. Rodriguez; Tina Birk Jensen; Lluis M. Pla; Anders Ringgaard Kristensen. 2011. "Optimal replacement policies and economic value of clinical observations in sow herds." Livestock Science 138, no. 1-3: 207-219.

Chapter
Published: 24 May 2011 in Decision Support Systems in Agriculture, Food and the Environment
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Decision support systems (DSS) is the natural framework where decision models should be included in order to support farmers, advisers or livestock management specialists in the decision making process. During last years, the increment of competition between pig producers caused the marginal benefits per unit of product to reduce. A concentration of production to maintain past profit levels is performed. In this context, there is an increasing interest in DSS tools capable of dealing with the uncertainty inherent to pig production systems for practical decision support. In this chapter the development of DSS for pig systems representing either the productive and reproductive behaviour of a group of breeding sows over time and their mathematical foundation are reviewed. It is in the aim to detect strong and weak points making DSS more suitable for practical use, explaining why actually few farmers and specialists are using them. New DSS tools adapted to particular production patterns beyond individual farms and the irruption of internet are also important issues in future developments. Arguments presented, discussion and conclusion can easily extended to other livestock systems.

ACS Style

Lluís Miquel Plà-Aragonés. DSS in Pig Production Systems. Decision Support Systems in Agriculture, Food and the Environment 2011, 101 -117.

AMA Style

Lluís Miquel Plà-Aragonés. DSS in Pig Production Systems. Decision Support Systems in Agriculture, Food and the Environment. 2011; ():101-117.

Chicago/Turabian Style

Lluís Miquel Plà-Aragonés. 2011. "DSS in Pig Production Systems." Decision Support Systems in Agriculture, Food and the Environment , no. : 101-117.

Journal article
Published: 21 October 2010 in Annals of Operations Research
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ACS Style

Lluís M. Plà-Aragonés; Béla Vizvári. Editorial. Annals of Operations Research 2010, 190, 1 -2.

AMA Style

Lluís M. Plà-Aragonés, Béla Vizvári. Editorial. Annals of Operations Research. 2010; 190 (1):1-2.

Chicago/Turabian Style

Lluís M. Plà-Aragonés; Béla Vizvári. 2010. "Editorial." Annals of Operations Research 190, no. 1: 1-2.