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A Model for Setting Performance Objectives for Salmonella in the Broiler Supply Chain

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  • Seth Oscar Tromp
  • Eelco Franz
  • Hajo Rijgersberg
  • Esther Van Asselt
  • Ine Van Der Fels‐Klerx

Abstract

A stochastic model for setting performance objectives for Salmonella in the broiler supply chain was developed. The goal of this study was to develop a model by which performance objectives for Salmonella prevalence at various points in the production chain can be determined, based on a preset final performance objective at the end of the processing line. The transmission of Salmonella through the broiler production chain was modeled. The prevalence at flock level was calculated from the measured prevalence at sample level. The transmission model is based on data on the occurrence of Salmonella collected in the Dutch broiler production chain during several years. The developed model can be used by policymakers and industry to determine economically and politically acceptable performance objectives for various points of the production chain and to draw conclusions about which interventions are most appropriate.

Suggested Citation

  • Seth Oscar Tromp & Eelco Franz & Hajo Rijgersberg & Esther Van Asselt & Ine Van Der Fels‐Klerx, 2010. "A Model for Setting Performance Objectives for Salmonella in the Broiler Supply Chain," Risk Analysis, John Wiley & Sons, vol. 30(6), pages 945-951, June.
  • Handle: RePEc:wly:riskan:v:30:y:2010:i:6:p:945-951
    DOI: 10.1111/j.1539-6924.2010.01391.x
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    Cited by:

    1. Chebolu-Subramanian, Vijaya & Gaukler, Gary, 2014. "Product Recalls in the Meat and Poultry Industry: Key Drivers of Supply Chain Efficiency and Effectiveness," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Innovative Methods in Logistics and Supply Chain Management: Current Issues and Emerging Practices. Proceedings of the Hamburg International Conferenc, volume 19, pages 339-364, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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