In the context of pig farming, this paper addresses the optimization problem of collecting fattened pigs from farms to deliver them to the abattoir. Assuming that the pig sector is organized as a competitive supply chain with narrow profit margins, our aim is to apply analytics to cope with the uncertainty in production costs and revenues. Motivated by a real-life case, the paper analyzes a rich Team Orienteering Problem (TOP) with a homogeneous fleet, stochastic demands, and maximum workload.
View Article and Find Full Text PDFTaking into account that in the literature on pork-production Life Cycle Assessment (LCA) there are a few studies about the Iberian pig, the present article evaluates an extensive (growing-fattening) Iberian-pig system in Spain, producing meat for Iberian ham and other quality-labelled products. The study has been based on Cumulative Energy Demand (CED), Global Warming Potential (GWP), ReCiPe (midpoint; endpoint) and USEtox (human toxicity; ecotoxicity). The analysis involves feed (for pigs and piglets), transportation, drinking water, straw usage and building materials (concrete).
View Article and Find Full Text PDFWith the growing adoption of the Internet of Things (IoT) technology in the agricultural sector, smart devices are becoming more prevalent. The availability of new, timely, and precise data offers a great opportunity to develop advanced analytical models. Therefore, the platform used to deliver new developments to the final user is a key enabler for adopting IoT technology.
View Article and Find Full Text PDFThe 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.
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