在不确定条件下寻找林业企业原材料供应链最佳解决方案的数学模型

R. Rogulin
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引用次数: 0

摘要

本文探讨了与森林加工企业形成供应链和产量问题有关的重要方面。重点在于评估所做决策的最优性。研究的重点是那些没有自己的原材料来源的企业,这些企业根据商品交易所的交易数据,在规划期限内寻求最合适的解决方案。研究的目的是建立一个数学模型,使我们能够根据商品交易所的原材料供应链,考虑其有用数量的份额、批次在途时间以及与供应和物流相关的不确定性,确定最佳商品生产量。提出了以下研究方法:数学建模、理论和优化方法。利用圣彼得堡证券交易所和滨海边疆区企业的数据对模型进行了测试,从而确定了利润、产量和其他重要指标的最佳轨迹。该研究还提出了供应链和产量规划问题,分析了原材料来源地区,并介绍了该数学模型的优缺点。所取得的成果对寻求提高其活动效率的林业企业高层管理者很有意义,并可作为评估俄罗斯商品和原材料交易所商品交易合理性的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Model for Searching for an Optimal Solution to the Problem of Forming Supply Chains for Raw Materials of Forestry Enterprises under Conditions of Uncertainty
This paper examines important aspects related to the problems of forming supply chains and production volumes at forest processing enterprises. The main emphasis is on assessing the optimality of decisions made. The study focuses on enterprises that do not have their own sources of raw materials and that are seeking to find the most appropriate solution based on the planning horizon based on data on transactions carried out on the commodity exchange. The purpose of the study is to create a mathematical model that allows us to establish the optimal volume of production of goods based on the formed supply chains of raw materials from the commodity exchange, considering the share of its useful volume, the time the lots are in transit and the uncertainty associated with supply and logistics. The following research methods were proposed: mathematical modeling, theory and optimization methods. Testing the model using data from the St. Petersburg Stock Exchange and enterprises of the Primorsky Territory made it possible to determine the optimal trajectories of profit, production volume and other important indicators. The work also raises issues of planning supply chains and production volumes, analyzes regions – sources of raw materials and presents the advantages and disadvantages of the presented mathematical model. The results obtained are of interest to the top management of forestry enterprises seeking to improve the efficiency of their activities and can be the basis for assessing the rationality of commodity transactions on the Russian Commodity and Raw Materials Exchange.
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