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标 题: About One Approach to the Planning in Retail with the Stochastic Parameters
关于零售规划中随机参数的一种方法
作 者: Artem Novikov
关键词: Modelling of the investment projects  [投资项目建模]
Retail  [零售]
Stochastic linear programming  [随机线性规划]
Forecasting  [预测]
出版年: 2019
会议名: 15th International Asian School-Seminar Optimization Problems of Complex Systems (OPCS 2019)
第15届国际亚洲学校-研讨会 复杂系统优化问题(OPCS 2019)
届 次: 15th
摘 要: Retail is one of the largest industries for financial investments in Russia. There are various mathematical descriptions for the development of retail projects. Earlier in [1] the researchers considered the resource region development model and a corresponding linear stochastic programming problem, where the budget constraints are assumed to vary in a random manner at specified interval; and the methods of its solving. In this paper, we propose new models for planning retail investment projects related to carrying out promo efficiency in the retail chain. As well as in [1], these models are based on linear stochastic programming problems, where the dimension of the problems increases essentially, and the stochastic parameters appear in market behaviour. To solve this problem, we put forward the method based on its reduction to the deterministic one. For the numerical check of the algorithms we use the data on transactions of the LLC NSK Holdi.

零售业是俄罗斯金融投资规模最大的行业之一。针对零售项目的发展,已有多种数学建模方法。在[1]中,研究人员考虑了资源区域发展模型及其相应的线性随机规划问题,其中预算约束在指定的时间间隔内以随机方式变化;以及其求解方法。在本文中,我们提出了一种用于规划零售投资项目的新型模型,以提升零售链中的促销效率。与[1]中的模型类似,这些模型基于线性随机规划问题,其中问题的维度显著增加,且市场行为中出现了随机参数。为解决这一问题,我们提出了一种将其转化为确定性问题的方法。为了对算法进行数值验证,我们使用了LLC NSK Holdi公司的交易数据。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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