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Global sensitivity analysis of a pig fattening unit model simulating technico-economic performance and environmental impacts

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  • Cadero, A.
  • Aubry, A.
  • Brun, F.
  • Dourmad, J.Y.
  • Salaün, Y.
  • Garcia-Launay, F.

Abstract

Livestock farming system (LFS) models are used to produce key technical or economic outputs. Current models simulate multicriteria performance of LFS, i.e. technical, economic and environmental outputs. Therefore, conducting sensitivity analysis (SA) of these models is increasingly challenging. We developed a pig fattening unit model which is a stochastic, discrete-event mechanistic model with a one-day time step. An individual-based model is used to represent the pigs. Our objective was to perform a global SA of this model while accounting for effects of parameters on all outputs. Due to the model's long computational time, we first performed screening SA using the Morris method to identify and exclude non-influential parameters, and then performed variance-based SA of the influential parameters using metamodels. The most influential parameters were mainly pig characteristics and the disinfection period. This study provides a generic SA sequence adapted for models with a high computational cost and multiple outputs.

Suggested Citation

  • Cadero, A. & Aubry, A. & Brun, F. & Dourmad, J.Y. & Salaün, Y. & Garcia-Launay, F., 2018. "Global sensitivity analysis of a pig fattening unit model simulating technico-economic performance and environmental impacts," Agricultural Systems, Elsevier, vol. 165(C), pages 221-229.
  • Handle: RePEc:eee:agisys:v:165:y:2018:i:c:p:221-229
    DOI: 10.1016/j.agsy.2018.06.016
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    References listed on IDEAS

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    3. Reis dos Santos, Pedro M. & Isabel Reis dos Santos, M., 2009. "Using subsystem linear regression metamodels in stochastic simulation," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1031-1040, August.
    4. Lamboni, Matieyendou & Monod, Hervé & Makowski, David, 2011. "Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 450-459.
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    Cited by:

    1. Crouse, Kristin N. & Desai, Nisarg P. & Cassidy, Kira A. & Stahler, Erin E. & Lehman, Clarence L. & Wilson, Michael L., 2022. "Larger territories reduce mortality risk for chimpanzees, wolves, and agents: Multiple lines of evidence in a model validation framework," Ecological Modelling, Elsevier, vol. 471(C).
    2. Davoudkhani, M. & Mahé, F. & Dourmad, J.Y. & Gohin, A. & Darrigrand, E. & Garcia-Launay, F., 2020. "Economic optimization of feeding and shipping strategies in pig-fattening using an individual-based model," Agricultural Systems, Elsevier, vol. 184(C).

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