使用时间定价和固定比例技术下投入品的最优选择

Gary Fethke, Asher Tishler
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引用次数: 6

摘要

本文描述了在分时电价(TOU)下,某企业某代表日的资本、劳动力和电力的最优选择。公司的目标是在给定的产出水平和对资本和劳动力可用性的几个调度约束下,使一天的生产成本最小化。虽然企业的基本理论生产过程可能是“灵活的”,可能在投入之间有实质性的替代,但大多数企业发现很难(如果不是不可能的话)分析地指定生产过程。因此,我们假设技术由一组固定比例的活动表示。这种表示很容易应用于实际情况,因为输入的最优选择可以表述为线性规划(LP)问题。我们的分析表明,使用少量固定比例的生产活动可以很好地近似于最佳。LP公式应用于两家制造企业的数据集,输出和输入的最优数量接近于实际观察到的数量。
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The optimal choice of inputs under time-of-use pricing and fixed-proportions technology

In this paper we describe the optimal choice of capital, labor and electricity during a representative day of a firm operating under time-of-use (TOU) pricing of electricity and labor. The objective of the firm is to minimize production costs over the day subject to a given output level and several scheduling constraints on the availability of capital and labor. While the underlying theoretical production process of the firm may be ‘flexible’, possibly with substantial substitution among the inputs, most firms find it difficult if not impossible to specify the production process analytically. Thus, we assume that the technology is represented by a set of fixed-proportions activities. This representation is easy to apply in actual situations since the optimal choice of inputs can be formulated as a linear programming (LP) problem. Our analysis shows that the use of a small number of fixed-proportions production activities can result in a good approximation of the optimum. The LP formulation is applied to data sets for two manufacturing firms, and the optimal quantities of output and inputs are close to those actually observed.

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