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Simulation of the shift from marine netcages to inland recirculating aquaculture systems

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  • Ilan Halachmi
  • Yitzhak Simon
  • Noam Mozes

Abstract

The recirculating aquaculture system (RAS) is an intensive production line that uses recycled water, and that should operate continuously, year-round, at full capacity. The RAS depends on enhanced water quality and minimized fish stressors, and its profitability relies on maximizing economic productivity per unit volume of rearing space. However, RAS operation requires coordinated management of many unit processes and/or operations. The aim of this study was to optimize operating parameters, including the number of fingerlings in the system, their arrival frequency, and fish weight on entry into the system and into the various stages of sorting along the production line. It was also necessary to minimize the start-up period, i.e. the period between establishment and achievement of full design capacity. A simulation model was developed to further the operating company’s interests, combining discrete-event and continuous-time stochastic simulations, meta-model and optimal-resource configurations—all to maximize annual profits, subject to operational and environmental constraints. Simulation outputs were monthly sales, fish stocking density (kilograms of biomass per cubic meter) and utilization of each culture tank at any given time, and effects of standing stock biomass and feed load on the biofilters. The simulation results were validated and implemented in an aquaculture farm. Copyright Springer Science+Business Media, LLC 2014

Suggested Citation

  • Ilan Halachmi & Yitzhak Simon & Noam Mozes, 2014. "Simulation of the shift from marine netcages to inland recirculating aquaculture systems," Annals of Operations Research, Springer, vol. 219(1), pages 85-99, August.
  • Handle: RePEc:spr:annopr:v:219:y:2014:i:1:p:85-99:10.1007/s10479-011-1048-3
    DOI: 10.1007/s10479-011-1048-3
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    References listed on IDEAS

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    1. Kleijnen, Jack P. C. & Standridge, Charles R., 1988. "Experimental design and regression analysis in simulation: An FMS case study," European Journal of Operational Research, Elsevier, vol. 33(3), pages 257-261, February.
    2. Jack P. C. Kleijnen & Bert Bettonvil & Willem Van Groenendaal, 1998. "Validation of Trace-Driven Simulation Models: A Novel Regression Test," Management Science, INFORMS, vol. 44(6), pages 812-819, June.
    3. Kleijnen, Jack P. C., 1995. "Verification and validation of simulation models," European Journal of Operational Research, Elsevier, vol. 82(1), pages 145-162, April.
    4. Kleijnen, Jack P. C., 1995. "Statistical validation of simulation models," European Journal of Operational Research, Elsevier, vol. 87(1), pages 21-34, November.
    5. Jack P.C. Kleijnen, 2015. "Design and Analysis of Simulation Experiments," International Series in Operations Research and Management Science, Springer, edition 2, number 978-3-319-18087-8, September.
    6. Halachmi, I. & Dzidic, A. & Metz, J. H. M. & Speelman, L. & Dijkhuizen, A. A. & Kleijnen, J. P. C., 2001. "Validation of simulation model for robotic milking barn design," European Journal of Operational Research, Elsevier, vol. 134(3), pages 677-688, November.
    7. Kleijnen, J.P.C., 1995. "Statistical validation of simulation models : A case study," Other publications TiSEM 4da192cf-c3f4-40a4-aea4-5, Tilburg University, School of Economics and Management.
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