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GO DIGIT4PORK

GO DIGIT4PORK: Digital twin for pig fattening coordination

  • Type Grupo operativo
  • Status In progress
  • Execution 2024 -2027
  • Scope Supraautonómico
  • Autonomous community Aragón; Navarra, Comunidad Foral de
  • Main source of financing PEPAC 2023-2027
Abstract

The main objective of the GODIGIT4PORK project is the optimization and coordination of the supply chain in the pig sector through the implementation of a digital twin, specifically focused on the production of fattening pigs that supply a slaughterhouse and its associated cutting room, so that livestock companies can know much more accurately the composition of their final product and how it changes depending on the slaughter weight, being able to improve feed efficiency by designing more adjusted diets.

The implementation of a digital twin for the pork supply chain is an innovative approach to digitally transform and optimize the pork industry, providing both economic and social benefits by improving operational efficiency, product quality and environmental sustainability. The digital replica of the system will be developed based on the verification of the maximum growth potentials of the different lines and will be validated in the field in experimental farms of the different GO companies.

Description

Implementing a digital twin for the pork supply chain is an innovative approach to digitally transform and optimize the pork industry, delivering both economic and social benefits by improving operational efficiency, product quality and environmental sustainability.

This digital twin is a virtual replica in near real time, meaning that it is updated with the same frequency as the data from the final part of the pork supply chain, covering the fattening and cutting of carcasses, with the aim of improving production efficiency, traceability and decision-making.

The availability of data in an agile manner and advanced analysis thanks to the digital twin allows for informed decision-making in critical situations or to optimize the supply chain in general. Early identification of potential problems, such as bottlenecks in production or logistics, which can be addressed before they become crises.

Description of activities
  • The objective of this activity is focused on an analysis of data collection to support decision-making in the production stages covered by the project: fattening and cutting room. The methodology is based on the “AS IS” description of what is currently being done to define “TO BE” how digital data collection should or could be and the variables involved. This includes intermediate and final calculations leading to obtaining the KPIs or key production indicators at each stage and of the overall technical process (i.e. meat yield) and economic process (i.e. economic efficiency).
  • The main objective of this activity is the controlled fattening of pigs and their cutting in order to characterize the economic performance of a carcass and its economic value from the integral point of view, giving continuity to the production process (fork to farm) by identifying the cost of production from the farm to cutting.
  • The main objective of this activity is to achieve a digital (i.e. virtual) representation of the production system in near real time.
  • The main objective of this activity is to validate in the field the usefulness and goodness of the proposed digital twin.
Contextual description

The main objective of the GODIGIT4PORK project is the optimization and coordination of the supply chain in the pig sector through the implementation of a digital twin, specifically focused on the production of fattening pigs that supply a slaughterhouse and its associated cutting room, so that livestock companies can know much more accurately the composition of their final product and how it changes depending on the slaughter weight, being able to improve feed efficiency by designing more adjusted diets.

Implementing a digital twin for the pork supply chain is an innovative approach to digitally transform and optimize the pork industry, delivering both economic and social benefits by improving operational efficiency, product quality and environmental sustainability.

This digital twin is a virtual replica in near real time, meaning that it is updated with the same frequency as the data from the final part of the pork supply chain, covering the fattening and cutting of carcasses, with the aim of improving production efficiency, traceability and decision-making.

A. Pirineo, A. Obanos, Ganadera de Caspe and Cárnicas Iruña, and the UdL, will design a protocol to study the characteristics of the different genetic lines that each company will contribute to the project and from which a digital twin of the fattening and cutting stages in the room will be created, aimed at optimising the coordination of slaughter with the shipment of fattened pigs according to the differential behaviour due to genetics and weight.

Objectives

Efficiently coordinate the pork supply chain, improving efficiency, quality, traceability and decision-making in the production and processing of fattening pigs through the creation of a digital twin.

Contact information
  • Coordinator name: NAVARRE AGRO-FOOD CLUSTER ASSOCIATION (NAGRIFOOD)
  • Postal address: PARQUE TOMAS CABALLERO, 2, 6TH FLOOR, 31006 PAMPLONA
  • Coordinator email: saguirre@nagrifoodcluster.com
  • Telephone: 948113700
Additional information

The main features of the proposal are:

  1. Supply Chain Coordination: The digital twin covers the final stages of the pork supply chain where most of the commercial value of the product is generated, from pig fattening to carcass cutting. This facilitates comprehensive and detailed coordination of each process involved.
  2. Connectivity and interoperability: Design a Data Space that allows for the integration of new sensors as they are acquired to monitor each relevant point in the chain and collect data in real time. This can include information on pig health, transport conditions, feed inventory, and processing capacity in the slaughterhouse and cutting room.
  3. Planning and Optimization: Using artificial intelligence algorithms, transport routes are planned, pig feeding is optimized, processing capacity is adjusted based on demand, and potential bottlenecks in the chain are predicted.
  4. Traceability: Each pig is uniquely identified at the slaughterhouse and its progress through the slaughtering process is accurately recorded. This allows for improved traceability, facilitating the rapid identification of problems and the recall of products if necessary.
  5. Informed Decision Making: The Data Space and advanced analytics integrated into the digital twin provide supply chain managers with key information for strategic decision making, such as adjusting production levels, optimizing logistics, or anticipating potential problems on the farm or in the cutting room.
Coordinators
  • Asociación Clúster Agroalimentario de Navarra (NAGRIFOOD)
Collaborators
  • AGROPECUARIA OBANOS , S.A.
  • AGROPECUARIA DEL PIRINEO, S.A.
  • Sociedad Cooperativa Ganadera de Caspe S.R.L.
  • CARNICAS IRUÑA, S.A.
Beneficiaries
  • Asociación Clúster Agroalimentario de Navarra (NAGRIFOOD)