Annals of Operations Research

, Volume 1, Issue 1, pp 79–83 | Cite as

Optimal capacity in fisheries; A case where randomness is of minor importance

  • Sjur D. Flåm
Stochastic Programming

Abstract

Linear programming is applied to assess the optimal capacity of the Norwegian industrial fishing fleet when quotas are random. A great potential for profit is identified and the significance of resource uncertainty for practical management is de-emphasized.

Keywords and phrases

Linear programming stochastic analysis 

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References

  1. [1]
    S. D. Flåm and S. Storøy, Capacity reduction of Norwegian industrial fisheries, Can. J. Fisheries and Aquatic Sciences 39, No. 9 (1982) 1314.Google Scholar
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    S. D. Flåm and S. W. Wallace, Capacity adaption of a fishing fleet facing uncertain quotas, Tech. Rep. 822550-5 (The Chr. Michelsen Institute, Bergen, 1982).Google Scholar
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    S. D. Flåm, Steady states in population models with monotone, stochastic dynamics, J. of Math. Biol. 13 (1981) 87.Google Scholar
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    A. Prékopa, Laws of large numbers for random linear programs, Math. Syst. Theory 6, no. 3 (1972) 277.Google Scholar
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    D. Walkup and R. Wets, Stochastic programs with recourse: special forms, Proc-Princeton Symp. on Math. Progr., ed. H. Kuhn (Princeton University Press, Princeton, 1970) p. 139.Google Scholar

Copyright information

© J.C. Baltzer A.G., Scientific Publishing Company 1984

Authors and Affiliations

  • Sjur D. Flåm
    • 1
  1. 1.Department of Science and TechnologyChr. Michelsen InstituteBergenNorway

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