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Optimisation of the broiler production supply chain

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  • Elisabeth Brevik
  • Anna Ø. Lauen
  • Maria C. B. Rolke
  • Kjetil Fagerholt
  • Jone R. Hansen

Abstract

In this paper, we propose a mixed integer programming (MIP) model for the Chicken Flock Sizing, Allocation and Scheduling Problem (CFSASP), which is an important planning problem in the broiler production supply chain. To solve the CFSASP efficiently, two variants of rolling horizon heuristics (RHHs) have been developed and applied on the case of a Norwegian broiler production company. Computational results show that the RHHs successfully obtain high-quality solutions within a reasonable time. The value of optimisation is verified through comparison with the case company's plans, where the solutions from optimisation outperforms the current solutions. Sensitivity analyses are also conducted to provide managerial insights regarding certain strategic decisions, such as how many and which days to use for hatching of chickens. Due to the promising results, the case company is now implementing an optimisation-based decision support system based on the MIP model and solution methods shown in this paper.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:17:p:5218-5237
    DOI: 10.1080/00207543.2020.1713415
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    Cited by:

    1. Esteve Nadal-Roig & Lluís Miquel Plà-Aragonès & Víctor Manuel Albornoz, 2023. "Supply Chains: Planning the Transportation of Animals among Facilities," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    2. Wang, Wenyi & Zhao, Zhongfan & Zhou, Qun & Qiao, Yiyuan & Cao, Feng, 2021. "Model predictive control for the operation of a transcritical CO2 air source heat pump water heater," Applied Energy, Elsevier, vol. 300(C).
    3. Yazdekhasti, Amin & Wang, Jun & Zhang, Li & Ma, Junfeng, 2021. "A multi-period multi-modal stochastic supply chain model under COVID pandemic: A poultry industry case study in Mississippi," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    4. 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).

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