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On The Use Of Deterministic Linear Programming For Planning In A Non-Certain Environment

Author

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  • Nuthall, Peter L.
  • Moffatt, D.J.

Abstract

Farm planning in the non-certain world is complex so that models which adequately represent this situation are difficult and expensive to experiment with. Thus a range of linear programming models based on simplifications has been suggested for planning under non-certainty. This discussion reviews the problem of farm system infeasibility which can arise from the Lise of these models and suggests an alternative approach.

Suggested Citation

  • Nuthall, Peter L. & Moffatt, D.J., 1975. "On The Use Of Deterministic Linear Programming For Planning In A Non-Certain Environment," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 43(04), pages 1-13, December.
    • Handle: RePEc:ags:remaae:9148
    DOI: 10.22004/ag.econ.9148
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    References listed on IDEAS

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    1. Allan N. Rae, 1971. "Stochastic Programming, Utility, and Sequential Decision Problems in Farm Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(3), pages 448-460.
    2. Yoshihiro Maruyama, 1972. "A Truncated Maximin Approach to Farm Planning under Uncertainty with Discrete Probability Distributions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 54(2), pages 192-200.
    3. David B. Trebeck & J. Brian Hardaker, 1972. "The Integrated Use Of Simulation And Stochastic Programming For Whole Farm Planning Under Risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 16(2), pages 115-126, August.
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    Cited by:

    1. Menz, Kenneth M. & Longworth, John W., 1976. "Allocative Ability, Information Processing And Farm Management," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 44(04), pages 1-5, December.

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    Keywords

    Farm Management;

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