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Development of an algorithm for the optimal distribution of mutual indebtedness in the economic system using the transportation problem

机译:利用运输问题开发经济体制互惠最佳分布算法

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Optimization of financial and material flows requires the analysis of many factors and large amounts of information, which is impossible without the information technology use. The presence of counter financial flows is possible, both between economic entities, for example, budgetary institutions and unitary enterprises, non-state sector enterprises and state institutions of federal subordination. The current level of information technologies makes it possible to create a database containing information on the receivables and payables of budget institutions and their counterparties for a certain time point. Creation and maintenance of such a base in the current state of the information-analytical center of the region is necessary for optimizing financial flows. When collecting information for the database creation, it should be taken into account that the most important information is about the mutual debts within the considered group of subjects of economic relations. In the article, we consider the question of for which values of the coefficients the problem reduces to a transportation problem. The outlined approach to optimization of financial and commodity flows in integrated structures by solving the problem of counter flows repayment as a problem of linear programming of the transport class has a number of advantages. The next problem of the algorithm development for calculating the net result for solving practical problems is the large dimension of the mutual debts matrix. As the experience of works on repayment of non-payments in the Sverdlovsk region has shown, the matrix of mutual indebtedness is characterized by a large dimension and high discharge. To solve the problem of the return of mutual debts, we have developed an algorithm that, after a finite number of steps, solves the problem and leads to the state of minimally possible mutual debts, and, the higher the discharge of the matrix is, the less number of algorithm steps are required to get the optimal distribution of mutual debts. One of the advantages of the presented algorithm is that it is focused on a step-by-step compliance with the rules for conducting financial transactions. The algorithm for solving the problem of counter financial flows repayment allows us to find the optimal distribution of mutual indebtedness for a finite number of steps and has following main advantages: first, step-by-step compliance with the rules for conducting financial transactions; second, taking into account the specifics of the filling of non-zero elements of the matrix of mutual debts.
机译:优化金融和材料流程需要分析许多因素和大量信息,而无需信息技术使用。经济实体,例如,预算机构和统一企业,非国家部门企业和国家联邦政府机构之间存在逆流性的存在。目前的信息技术可以创建一个包含关于应收账款和预算机构应付账款的信息的数据库及其对方的某个时间点。在该区域的信息分析中心的当前状态下,在该区域的信息分析中心的当前状态的创建和维护是优化金融流程所必需的。收集数据库创建信息时,应考虑到最重要的信息是关于经济关系主体群体中的相互债务。在文章中,我们考虑了该问题的问题,问题的数据值降低到运输问题。通过解决计数器流量问题的综合结构中的金融和商品的优化方法的概述方法作为运输类的线性规划问题存在许多优势。用于计算实际问题的算法开发的下一个问题是相互债务矩阵的大维度。随着工作经验在SVERDLOVSK地区的不付款时所示,互惠互惠的基质的特征在于大尺寸和高放电。为了解决相互债务的返回问题,我们开发了一种算法,在一个有限的步骤之后解决问题并导致最小可能的相互债务的状态,并且矩阵的放电越高,少数算法步骤需要获得相互债务的最佳分布。所呈现的算法的一个优点是它专注于逐步遵守规则进行金融交易。解决柜台财务流量问题的算法还款允许我们找到有限数量的互惠互惠的最佳分布,并具有以下主要优势:第一,逐步遵守进行金融交易的规则;其次,考虑到填充相互债务矩阵的非零元素的细节。

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