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Production planning decisions in the broiler chicken supply chain with growth uncertainty

Author

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  • Solano-Blanco, Alfaima L.
  • González, Jaime E.
  • Medaglia, Andrés L.

Abstract

Broiler chickens are specially raised for meat production and their supply chain is composed of breeders, hatcheries, feed mills, farms, slaughterhouses, wholesalers, and retailers. The coordination between supply chain players has great potential to streamline production and increase competitiveness in the market. A critical element in the decision-making process of this agri-system is the weight gain of broiler chickens. Variability in chicken growth patterns can affect production plans in practice. The most efficient weight estimation models require sensors in real-time, which are not available in many companies. Thus, some small farms require a simpler approach to adjust production planning based on the uncertainty of chickens’ weight while they transition to new technologies. This research proposes an optimization-based methodology for the integration of farms and slaughterhouses to plan production under chicken growth uncertainty. The methodology includes two models: (i) a two-stage stochastic model that supports lot-sizing and inventory management decisions while considering scenarios of chicken growth uncertainty; and (ii) a mixed-integer linear programming model that supports lot allocation. We present the results of implementing the methodology in a poultry company in Santa Marta (Colombia), where we improved costs by 8.6% while meeting tactical, biological, and biosecurity constraints.

Suggested Citation

  • Solano-Blanco, Alfaima L. & González, Jaime E. & Medaglia, Andrés L., 2023. "Production planning decisions in the broiler chicken supply chain with growth uncertainty," Operations Research Perspectives, Elsevier, vol. 10(C).
  • Handle: RePEc:eee:oprepe:v:10:y:2023:i:c:s2214716023000088
    DOI: 10.1016/j.orp.2023.100273
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    References listed on IDEAS

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    1. Boonmee, Atiwat & Sethanan, Kanchana, 2016. "A GLNPSO for multi-level capacitated lot-sizing and scheduling problem in the poultry industry," European Journal of Operational Research, Elsevier, vol. 250(2), pages 652-665.
    2. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    3. Pourmohammad-Zia, Nadia & Karimi, Behrooz & Rezaei, Jafar, 2021. "Food supply chain coordination for growing items: A trade-off between market coverage and cost-efficiency," International Journal of Production Economics, Elsevier, vol. 242(C).
    4. Sara Rodríguez & Lluis Plà & Javier Faulin, 2014. "New opportunities in operations research to improve pork supply chain efficiency," Annals of Operations Research, Springer, vol. 219(1), pages 5-23, August.
    5. Sebatjane, Makoena & Adetunji, Olufemi, 2019. "Economic order quantity model for growing items with imperfect quality," Operations Research Perspectives, Elsevier, vol. 6(C).
    6. Sara Rodríguez & Victor Albornoz & Lluís Plà, 2009. "A two-stage stochastic programming model for scheduling replacements in sow farms," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(1), pages 171-189, July.
    7. Sebatjane, Makoena, 2022. "The impact of preservation technology investments on lot-sizing and shipment strategies in a three-echelon food supply chain involving growing and deteriorating items," Operations Research Perspectives, Elsevier, vol. 9(C).
    8. Sebatjane, Makoena & Adetunji, Olufemi, 2020. "A three-echelon supply chain for economic growing quantity model with price- and freshness-dependent demand: Pricing, ordering and shipment decisions," Operations Research Perspectives, Elsevier, vol. 7(C).
    9. Villalba, D. & Díez-Unquera, B. & Carrascal, A. & Bernués, A. & Ruiz, R., 2019. "Multi-objective simulation and optimisation of dairy sheep farms: Exploring trade-offs between economic and environmental outcomes," Agricultural Systems, Elsevier, vol. 173(C), pages 107-118.
    10. Elisabeth Brevik & Anna Ø. Lauen & Maria C. B. Rolke & Kjetil Fagerholt & Jone R. Hansen, 2020. "Optimisation of the broiler production supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5218-5237, September.
    11. Miguel Taube-Netto, 1996. "Integrated Planning for Poultry Production at Sadia," Interfaces, INFORMS, vol. 26(1), pages 38-53, February.
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