Mathematical model of the formation of supply chains of raw materials from a commodity exchange under conditions of uncertainty

Q3 Economics, Econometrics and Finance Business Informatics Pub Date : 2023-12-31 DOI:10.17323/2587-814x.2023.4.41.56
R. Rogulin
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Abstract

The formation of raw material supply chains is very closely related to production problems at a timber processing plant. Since the beginning of the second industrial revolution, one urgent question has been the formation of supply chains for raw materials and the optimal calculation of production volumes for each individual day. This article examines a forestry enterprise that does not have its own sources of wood, which daily solves the problem of ensuring the supply of raw materials and optimal production load. A commodity exchange is considered as a source of raw materials where lots randomly appear every day in different raw material regions. In the scientific literature, there are many approaches to calculating the optimal profit value over the entire planning horizon, but they do not consider many features that are important for a timber processing enterprise. This paper presents a mathematical model which is a mechanism for making daily decisions over the entire planning horizon and differs in that it allows one to take into account the share of useful volume and the delivery time of raw materials under conditions of uncertainty. The result of the model is the optimal profit trajectory, considering the volume of raw materials, the delivery time of lots, the volume of profit and the production volume of goods. The model was tested on data from the Russian Commodity and Raw Materials Exchange and one of the Primorsky Territory enterprises. Analysis of the results showed that there are difficulties in planning supply chains and production volumes. An assessment of the optimality of raw material regions was carried out. The advantages and disadvantages of the mathematical model are formulated.
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不确定条件下商品交易所原材料供应链形成的数学模型
原材料供应链的形成与木材加工厂的生产问题密切相关。自第二次工业革命开始以来,一个亟待解决的问题就是原材料供应链的形成和每一天生产量的最佳计算。本文研究了一家没有自己木材来源的林业企业,该企业每天都要解决确保原材料供应和最佳生产负荷的问题。商品交易所被视为原材料来源地,每天随机出现在不同的原材料区域。在科学文献中,有许多计算整个计划周期内最优利润值的方法,但这些方法没有考虑对木材加工企业来说非常重要的许多特征。本文提出了一个数学模型,它是在整个规划期限内进行日常决策的机制,其不同之处在于它允许人们在不确定的条件下考虑原材料的有用量份额和交货时间。该模型的结果是,在考虑原材料数量、批次交货时间、利润额和货物生产量的情况下,得出最佳利润轨迹。该模型在俄罗斯商品和原材料交易所以及滨海边疆区一家企业的数据上进行了测试。结果分析表明,在规划供应链和生产量方面存在困难。对原材料区域的最优性进行了评估。对数学模型的优缺点进行了阐述。
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来源期刊
Business Informatics
Business Informatics Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.50
自引率
0.00%
发文量
21
期刊最新文献
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