Optimal harvesting strategies for a multi-cycle and multi-pond shrimp operation: A practical network model

Yu, Run; Leung, PingSun

doi:10.1016/j.matcom.2005.01.018

Cited by 30 publications

(10 citation statements)

References 21 publications

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“…One reason for avoiding size‐heterogeneity in optimal management studies is the obvious increase in complexity in formulating the model. However, some exceptions can be found in the literature, such as Yu and Leung [2005], who analyzed the optimal harvesting schedule in a multipond and multicycle discrete model during a fixed operation period. Size variability was exogenously introduced by these authors, using a size distribution function applied at the end of every cycle.…”

Section: Optimal Harvesting In Fish Culture1mentioning

confidence: 99%

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Araneda¹,

Hernández²,

Gasca‐Leyva³

2011

Natural Resource Modeling

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Abstract. This paper examines the question of optimal harvesting time in a size-heterogeneous farmed aquatic population, using a model reflecting the effect of population density on both overall mortality rate and individual growth. This analysis enables an optimal harvesting rule to be deduced. The results obtained are applied to shrimp culture in recirculation systems in Mexico. Numerical solutions are derived for different production scenarios. Assuming identical culture conditions, results are also obtained under the hypothesis of homogeneous population growth, the view traditionally taken in the relevant economic literature. The optimal harvesting times calculated tend to decrease with higher densities, although this rule fails under the size-heterogeneous population model. In general, optimal harvesting times are overestimated when size-homogeneity in the culture is assumed. Our analysis reveals that management predictions are significantly mistaken if the size-heterogeneity phenomenon is not taken into account.

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Section: Optimal Harvesting In Fish Culture1mentioning

confidence: 99%

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Araneda¹,

Hernández²,

Gasca‐Leyva³

2011

Natural Resource Modeling

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“…The third approach is a variation of linear programming (LP) and dynamic programming (DP). LP has been frequently used in production planning in aquaculture production, such as for cost minimization in oyster farms (Lipschultz and Krantz, 1980) and profit maximization in prawn farms (Shaftel and Wilson, 1990;Wilson and Schaftel, 1991), multicycle and multiponds operation of shrimps farms (Yu and Leung, 2005;Yu et al, 2006), salmonid hatcheries (Johnson, 1974) and salmonid grow-out farms (Gates et al, 1980;Varvarigos and Home, 1986). We refer to (Forsberg, 1996) who discussed LP vs. DP in the aquaculture context and indicated that neither LP nor DP are adaptable to all aquaculture systems.…”

Section: Symbols and Termsmentioning

confidence: 99%

Mathematical principles of production management and robust layout design: Part III. 2500-ton/year fish farming in marine net cages

Halachmi

2013

Aquacultural Engineering

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“…The model is based on the Network Flow Optimization approach that has been used to model large-scale shrimp production (Yu & Leung, 2005).…”

Section: Economic Performance Modellingmentioning

confidence: 99%

Cobia (Rachycentron canadum) hatchery-to-market aquaculture technology: recent advances at the University of Miami Experimental Hatchery (UMEH)

et al. 2010

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-Among warm-water marine fishes, cobia is one of the best aquaculture candidate species in the world.Currently there are commercial culture operations in several Asian countries and the industry has started developing elsewhere, including the Western Central Atlantic region. Significant research has been conducted at the University of Miami's Aquaculture Program / University of Miami Experimental Hatchery (UMEH) during the last eight years, involving research to develop and optimize advanced technology to demonstrate the viability of raising hatchery-reared cobia in collaboration with the private sector. This paper reviews some of this recent advances for the development of Hatchery-to-Market Aquaculture Technology for commercial production of cobia.Key Words: cobia, commercial aquaculture, research, sea cages Tecnologia da criação de beijupirá (Rachycentron canadum) : recentes avanços do Laboratório de Larvicultura Experimental da Universidade de MIAMI (UMEH)RESUMO -Dentre os peixes marinhos de águas quentes, o bijupirá é um dos grandes candidatos para a aquacultura no mundo.Atualmente, existem operações comerciais em vários países Asiáticos e a indústria iniciou suas operações em outros locais, incluindo a região do Atlântico Central. Pesquisas têm sido realizadas no "University of Miami's Aquaculture Program / University of Miami Experimental Hatchery (UMEH)" durante os últimos oito anos envolvendo o desenvolvimento e otimização de tecnologia avançada para demonstrar a viabilidade da criação de bijupirá com colaboração com o setor privado.Este artigo revisa alguns destes avanços recentes para o desenvolvimento da tecnologia da larvicultura para o mercado para a produção comercial de bijupirá.

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Optimal harvesting strategies for a multi-cycle and multi-pond shrimp operation: A practical network model

Cited by 30 publications

References 21 publications

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Optimal Harvesting Time of Farmed Aquatic Populations With Nonlinear Size‐heterogeneous Growth

Mathematical principles of production management and robust layout design: Part III. 2500-ton/year fish farming in marine net cages

Cobia (Rachycentron canadum) hatchery-to-market aquaculture technology: recent advances at the University of Miami Experimental Hatchery (UMEH)

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