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 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.

[1]  B. Rothschild Dynamics of marine fish populations , 1987 .

[2]  William G. Brown,et al.  A production economic analysis of the Little White Salmon and Willard National Fish Hatcheries , 1974 .

[3]  Guillermo P Podesta,et al.  The Uncertain Value of Perfect ENSO Phase Forecasts: Stochastic Agricultural Prices and Intra-Phase Climatic Variations , 2005 .

[4]  Yajie Liu,et al.  Estimating Pollution Abatement Costs of Salmon Aquaculture: A Joint Production Approach , 2010, Land Economics.

[5]  Ray Hilborn,et al.  Salmon Production, Management, and Allocation , 2011 .

[6]  Daniel Solís,et al.  Bioeconomic modelling and salmon aquaculture: an overview of the literature , 2008 .

[7]  Morten Rye,et al.  Nonadditive genetic effects and inbreeding depression for body weight in Atlantic salmon (Salmo salar L.) , 1998 .

[8]  PingSun Leung,et al.  Multiple-criteria decision-making (MCDM) applications in fishery management , 2006 .

[9]  C. Walters,et al.  Quantitative fisheries stock assessment: Choice, dynamics and uncertainty , 2004, Reviews in Fish Biology and Fisheries.

[10]  Victor E. Cabrera,et al.  Impact of climate information on reducing farm risk by optimizing crop insurance strategy , 2006 .

[11]  Fredrik Manne,et al.  Rapid estimation of fat content in salmon fillets by colour image analysis , 2007 .

[12]  O. I. Forsberg,et al.  Modeling optimal dietary pigmentation strategies in farmed Atlantic salmon : Application of mixed-integer non-linear mathematical programming techniques , 2006 .

[13]  Daniel E. Lane,et al.  Operational research models and the management of fisheries and aquaculture: A review , 2004, Eur. J. Oper. Res..

[14]  Alan T. Murray,et al.  HANDBOOK OF OPERATIONS RESEARCH IN NATURAL RESOURCES , 2007 .

[15]  O. I. Forsberg,et al.  Optimal harvesting of farmed Atlantic salmon at two cohort management strategies and different harvest operation restrictions , 1999 .

[16]  Rolf Färe,et al.  LICENSE FEES: THE CASE OF NORWEGIAN SALMON FARMING , 2009 .

[17]  Michael Anton Gustavson Maximizing profits for a commercial salmon rearing facility using linear programming , 1972 .

[18]  O. I. Forsberg Optimal stocking and harvesting of size-structured farmed fish: a multi-period linear programming approach , 1996 .

[19]  P. Leung,et al.  Optimal Partial Harvesting Schedule for Aquaculture Operations , 2006, Marine Resource Economics.

[20]  Gudbrand Lien,et al.  Modelling Risks in the Salmon Industry and Markets , 2005 .