A model for optimizing plans for procurement of raw materials from regions of Russia in a timber-processing enterprise

IF 0.6 Q4 BUSINESS
R. Rogulin
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引用次数: 3

Abstract

In this paper a model for the formation of sustainable supply chains of raw materials for a timber processing complex is proposed. The model allows one to optimize the plan of purchases from the Russian Commodity Exchange, as well as the plan of manufacturing finished products. The model presents the task of mathematical programming, whereby the company’s profit is used as the objective function, and the input data include the forecasted values of structure and volumes of offers available on the Russian Commodity Exchange, as well as demand for finished products. The recurrence dependencies of the model describe the flow of raw materials at the enterprise’s warehouse, taking into account revenues from purchased lots, transportation time and consumption of resources that are required for production of simulated volumes of products. Constraints of the model represent formalization of the limited flow of financial resources, taking into account sales and warehouse characteristics. The optimization task deals with variables including volumes of daily output of finished products according to a given nomenclature, as well as variables that specify the inclusion of lots into the portfolio of applications purchased on the exchange. The model solution is found using the branch and bound method with preliminary clipping based on the modified Chvatal–Gomory method. One example considers formation of optimal plans for the purchase and sales in a timber processing complex located in the Primorsky Territory (Russia), which does not have its own forest plots providing production with raw materials. The usefulness of the interaction of the enterprise with the timber department of the commodity and raw materials exchange is assessed.
木材加工企业从俄罗斯各地区采购原材料的优化计划模型
本文提出了一个木材加工企业可持续原材料供应链的形成模型。该模型允许人们优化从俄罗斯商品交易所购买的计划,以及生产成品的计划。该模型提出了数学规划的任务,将公司的利润用作目标函数,输入数据包括俄罗斯商品交易所的报价结构和数量的预测值,以及成品需求。该模型的递归依赖性描述了企业仓库中原材料的流动,考虑了采购批次的收入、运输时间和生产模拟数量产品所需的资源消耗。考虑到销售和仓库的特点,模型的约束条件代表了有限的财务资源流动的形式化。优化任务处理的变量包括根据给定命名法的成品日产量,以及指定在交易所购买的应用程序组合中包含批次的变量。在改进的Chvatal–Gomory方法的基础上,使用带有初步剪裁的分枝定界方法找到模型解。一个例子是考虑在位于Primorsky Territory(俄罗斯)的木材加工厂制定最佳采购和销售计划,该厂没有自己的林地为生产提供原材料。评估了企业与商品和原材料交易所木材部门互动的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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