Optimizing salmon farm cage net management using integer programming

Salmon farming in Chile constitutes one of the nation's principal food exporting sectors. In the seawater stage, one of the most important in the farm production chain, salmon are cultivated in floating cages fitted with nets that hold the fish during the entire grow-out process. The maintenanc...

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Autor principal: Cisternas, F.
Otros Autores: Donne, D.D, Durán, G., Polgatiz, C., Weintraub, A.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2013
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100 1 |a Cisternas, F. 
245 1 0 |a Optimizing salmon farm cage net management using integer programming 
260 |c 2013 
270 1 0 |m Durán, G.; Departamento de Ingenieria Industrial, FCFM, Universidad de Chile, Republica 701, Santiago 8320000, Chile; email: gduran@dii.uchile.cl 
506 |2 openaire  |e Política editorial 
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504 |a Leung, P., Multiple-criteria decision-making (mcdm) applications in fishery management (2005) International Journal of Environmental Technology and Management, 6 (1-2), pp. 96-110 
504 |a Liu, Y., Sumaila, U.R., Estimating pollution abatement costs of salmon aquaculture: A joint production approach (2010) Land Economics, 86 (3), pp. 569-584 
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504 |a Rothschild, B., (1986) Dynamics of Marine Fish Populations, , Harvard University Press: Cambridge, MA 
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520 3 |a Salmon farming in Chile constitutes one of the nation's principal food exporting sectors. In the seawater stage, one of the most important in the farm production chain, salmon are cultivated in floating cages fitted with nets that hold the fish during the entire grow-out process. The maintenance of the cage nets is carried out at land-based facilities. This article reports on the creation of an integer programming tool for grow-out centres that optimizes resource use, improves planning and generates economic evaluations for supporting analysis and decision-making relating to the maintenance, repair and periodic changing of cage nets. The tool prototype was tested in a single operating area of one of Chile's largest salmon farmers. The results demonstrated a reduction in net maintenance costs of almost 18%, plus a series of important qualitative benefits. Implementation of the tool by farm operators awaits the end of the current crisis in the industry. © 2013 Operational Research Society Ltd. All rights reserved.  |l eng 
536 |a Detalles de la financiación: PICT-2007-00518 
536 |a Detalles de la financiación: P-05-004-F 
536 |a Detalles de la financiación: Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, 1110797 
536 |a Detalles de la financiación: Secretaría de Ciencia y Técnica, Universidad de Buenos Aires, 1100265, 20020100100980 
536 |a Detalles de la financiación: Comisión Nacional de Investigación Científica y Tecnológica, CONICYT 
536 |a Detalles de la financiación: Acknowledgements—The authors are grateful to CORFO (Chilean government program), Salmones Multiexport S.A. and the Chilean Science Institute ‘Complex Engineering Systems’ (ICM: P-05-004-F; CONICYT: FBO16; www.isci.cl) for their financial support in carrying out this project. Thanks are also due to Fredi Espinoza for his contribution to the analysis of the proposed tool’s impact, Juan Pablo Zanlungo for his efforts in gathering statistics on the Chilean salmon farming industry, Javier Marenco for his support at various stages of the study, Kenneth Rivkin for his many useful suggestions, and Rodrigo Niklitschek of Salmones Multiexport for his collaboration in bringing this project to fruition. The third author was partly financed by Fondecyt grant 1110797 (Chile), ANPCyT PICT-2007-00518 (Argentina), and UBACyT grant 20020100100980 (Argentina), and the fifth author was partly financed by Fondecyt grant 1100265 (Chile). 
593 |a Departamento de Ingenieria Industrial, FCFM, Universidad de Chile, Republica 701, Santiago 8320000, Chile 
593 |a Sciences Institute, Universidad Nacional de General Sarmiento, Buenos Aires, Argentina 
593 |a FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina 
593 |a CONICET, Buenos Aires, Argentina 
690 1 0 |a INTEGER PROGRAMMING 
690 1 0 |a MARITIME LOGISTICS 
690 1 0 |a PLANNING 
690 1 0 |a SEA TRANSPORT 
690 1 0 |a ECONOMIC EVALUATIONS 
690 1 0 |a FARM PRODUCTION 
690 1 0 |a MAINTENANCE COST 
690 1 0 |a MARITIME LOGISTICS 
690 1 0 |a OPERATING AREA 
690 1 0 |a RESOURCE USE 
690 1 0 |a SEA TRANSPORT 
690 1 0 |a SUPPORTING ANALYSIS 
690 1 0 |a ECONOMIC ANALYSIS 
690 1 0 |a INTEGER PROGRAMMING 
690 1 0 |a PLANNING 
690 1 0 |a SEAWATER 
690 1 0 |a REPAIR 
700 1 |a Donne, D.D. 
700 1 |a Durán, G. 
700 1 |a Polgatiz, C. 
700 1 |a Weintraub, A. 
773 0 |d 2013  |g v. 64  |h pp. 735-747  |k n. 5  |p J.Oper.Res.Soc.  |x 01605682  |w (AR-BaUEN)CENRE-5844  |t Journal of the Operational Research Society 
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