考虑需求的模糊经济订货量模型遵循巴斯的创新扩散过程

Alok Kumar, K. K. Aggarwal, U. Chanda
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引用次数: 8

摘要

为了使模型更符合实际,通常不考虑经济订货量模型。现实EOQ模型在评估任何组织的盈亏时都会带来重大的变化。在本文中,开发了一个数学模型来获得EOQ,其中假设产品的需求遵循Bass(1969)提出的创新模仿行为。该模型引入了创新扩散理论。为了使模型更加真实,在梯形隶属函数下,尝试用模糊集合理论求解该模型。假设创新系数、模仿系数和库存持有成本为具有梯形隶属函数的模糊数。利用去模糊化中值规则,推导出模糊意义下的总成本公式,以求得最优订货量。通过数值算例说明了该模型的有效性,并对该模型的最优解对系统不同参数的敏感性进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic order quantity model under fuzzy sense with demand follows Bass's innovation diffusion process
The economic order quantity (EOQ) model is usually not paid attention to make the model more realistic. The realistic EOQ model can bring a significant change while evaluating the profit and loss of any organisation. In this paper a mathematical model has been developed for obtaining the EOQ in which the demand of the product is assumed to follow an innovative imitative behaviour as proposed by Bass (1969). The theory of innovation-diffusion has been incorporated in this model. To make the model more realistic an attempt has been made to solve the model in light of fuzzy set theory under the trapezoidal membership function. The coefficient of innovation, the coefficient of imitation and the inventory carrying cost is assumed to be fuzzy numbers with trapezoidal membership function. By the median rule of defuzzification, total cost formula has been derived in the fuzzy sense in order to obtain the optimal order quantity. The effectiveness of this model is illustrated with a numerical example and sensitivity analysis of the optimal solution with respect to different parameters of the system is performed.
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