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Using discrete-time mathematical programming to optimise the extraction rate of a durable non-renewable resource with a single primary supplier

机译:使用离散时间数学编程通过单个主要供应商优化持久性不可再生资源的提取率

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A non-linear discrete-time mathematical program model is proposed to determining the optimal extraction policy for a single primary supplier of a durable non-renewable resource, such as gemstones or some metals. Karush, Kuhn and Tucker conditions allow obtaining analytic solutions and general properties of them in some specific settings. Moreover, provided that the objective function (i.e., the discounted value of the incomes throughout the planning horizon) is concave, the model can be easily solved, even using standard commercial solver. However, the analysis of the solutions obtained for different assumptions of the values of the parameters show that the optimal extraction policies and the corresponding prices do not exhibit a general shape.
机译:提出了一种非线性离散时间数学程序模型,用于确定持久性不可再生资源(例如宝石或某些金属)的单个主要供应商的最佳提取策略。卡鲁什(Karush),库恩(Kuhn)和塔克(Tucker)条件允许在某些特定设置下获得解析解和它们的一般属性。此外,假设目标函数(即整个计划范围内的收入折现值)是凹的,则即使使用标准的商业求解器,也可以轻松求解模型。但是,对针对参数值的不同假设而获得的解决方案的分析表明,最优提取策略和相应的价格并没有呈现出一般的形状。

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