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Integrated Planning for Poultry Production at Sadia

Author

Listed:
  • Miguel Taube-Netto

    (UniSoma Matemática para Produtividade SA, Rua José Paulino 2236-13013-002-Campinas, SP-Brazil and IMECC-Departamento de Matemática Aplicada, Universidade Estadual de Campinas (UNICAMP), Caixa Postal 6065-13081-970-Campinas, SP-Brazil)

Abstract

Sadia Concórdia SA, the largest poultry producer in Brazil, processing over 300 million chickens and 11 million turkeys a year, has increasingly used mathematical models since 1990 to improve decision making throughout its production chain. It has saved more than $50 million over a three-year period, as a result of (1) better conversion of feed to live bird weight; (2) improved utilization of birds to produce more than 300 products classified by weight range, taking into account weight variations between and within flocks; (3) almost 100 percent fulfillment of daily production plans with increased output of higher value products; (4) greater flexibility and reduced lead time in meeting market demand; and (5) timely and wide ranging studies of different price and demand scenarios. This original and pioneering use of operations research and management science approaches in the poultry industry is also adaptable to diverse production practices and applicable to other animal-processing industries.

Suggested Citation

  • Miguel Taube-Netto, 1996. "Integrated Planning for Poultry Production at Sadia," Interfaces, INFORMS, vol. 26(1), pages 38-53, February.
    • Handle: RePEc:inm:orinte:v:26:y:1996:i:1:p:38-53
    DOI: 10.1287/inte.26.1.38
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    Citations

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    Cited by:

    1. Peter C. Bell & Chris K. Anderson & Stephen P. Kaiser, 2003. "Strategic Operations Research and the Edelman Prize Finalist Applications 1989--1998," Operations Research, INFORMS, vol. 51(1), pages 17-31, February.
    2. 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).
    3. Peter C. Bell & Chris K. Anderson, 2002. "In Search of Strategic Operations Research/Management Science," Interfaces, INFORMS, vol. 32(2), pages 28-40, April.
    4. Shapiro, Jeremy F., 1939-, 1998. "Bottom-up vs. top-down approaches to supply chain management and modeling," Working papers WP 4017-98., Massachusetts Institute of Technology (MIT), Sloan School of Management.

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