离散随机需求下供应链的均衡定价:以咖啡供销业为例

IF 4 Q2 ENGINEERING, INDUSTRIAL Journal of Industrial and Production Engineering Pub Date : 2023-04-24 DOI:10.1080/21681015.2023.2201267
Milad Mohammadi, Dariush Mohamadi, Ali Nikzad
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引用次数: 1

摘要

摘要本研究采用博弈论方法对伊斯法罕市咖啡供应链中的价格和产量进行优化。所提出的模型专注于概率环境中链成员之间的竞争,并基于离散选择模型。该模型同时考察了库存成本和路线成本对定价模型的影响。为了有效地解决实际问题,使用了正态分布近似方法来代替二项式分布。该模型的结果表明,所应用的近似模型的计算时间不会随着客户数量的增加而变化,并且该模型可以确定最优价格和生产数量。与其他经典模型相比,所提出的模型的优势在于,它考虑了离散选择的价格竞争模型中尚未考虑的库存成本。图形摘要
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Equilibrium pricing in supply chains with discrete stochastic demands: A case study in coffee supply and distribution industry
ABSTRACT This study addresses the optimization of price and production quantity using game theory in the coffee supply chain in the city of Isfahan. The presented model focuses on the competition among members of the chain in a probabilistic environment and is based on discrete selection models. This model examines the impact of inventory and routing costs on the pricing model at the same time. To effectively solve real-world problems, the method of normal distribution approximation is used instead of the binomial distribution. The results of the model indicate that the computational time of the applied approximate model does not change with increasing the number of customers, and the model can determine the optimal price and production quantity. The advantage of the proposed model over other classic models is that it considers the inventory costs that have not yet been considered in price competition models with discrete selection. Graphical Abstract
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来源期刊
CiteScore
7.50
自引率
6.70%
发文量
21
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