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How Good is the Rolling Horizon Approach for an Integrated Fishery Planning Model?

M. Babul Hasan


In this paper, we apply a traditional decomposition method of rolling horizon for reducing the problem size for solving an integrated fishery planning model (IFPM). The purpose of the paper is to examine the value of using rolling horizon approach for planning and implementing fishery plans. From the experiments with different problem instances, we find that the classic approach of a rolling horizon was ineffective in the sense that it took long time to solve the 30-period IFPM, and reduced profits significantly.
Another purpose of this paper is to demonstrate the capacity of the IFPM to assist the fishery in performing sensitivity analysis on some important model parameters. A fishery manager employing these models would be motivated to ask “what-if” questions upon the observance of the model solutions. Considering the decision environment in which the IFPM is to be implemented, the role of sensitivity experiments is very important. Numerical results for different problem instances are presented.


Integer programming; trawler scheduling; fish processing; rolling horizon; end-effect

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