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# 数学代写|数学建模代写Mathematical Modeling代考|MATH3041

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## 数学代写|数学建模代写Mathematical Modeling代考|Discrete Programming Method in the Strategy ofModeling the Output and Capacity Utilization of High-Tech Digital Production Structures

An integral element of a company’s potential is the manufacturing component of its potential. It affects not solely the mechanism of formation of current costs, but also predetermines the final indicators of investment activity of the enterprise, as well as indicators of quality and competitiveness of product innovations manufactured by the enterprise. Ultimately, the parameters that characterize the production potential are used in formulating the main economic and financial indicators of the enterprise (net income, profit, financial stability, current solvency, turnover, etc.).

In the process of developing a marketing strategy, which is one of the functional components of the competitive strategy of the company, a portfolio of orders for its products is formed. When forming this portfolio, the determining coefficient is the characteristics of the production potential of the enterprise (Vlasov and Shimko, 2018). From the point of view of effective realization of the competitive strategy of the enterprise as a whole, the task of optimization of the components of this strategy, i.e., functional strategies of the enterprise, formed on the basis of the process approach to management, arises (Jeston and Nelis, 2006, 2015; Repin, 2013). Implementation of such optimization of the competitive strategy of the enterprise includes development of an effective production strategy. The solution of this task ensures the effective use of technological innovations by the enterprise and assumes the creation of high-tech organizational and production structures, as well as the development of technologies for these structures to supervise operational management of production processes (Radiyevsky, 2013).

In its turn, the technology of operational management of production processes assumes the presence of a mechanism aimed at formulating an optimal program of high-tech organizational and production structures and organization of effective management of enterprise resources (Nikolaev et al., 2010; Milner, 2013). Such a program is formed on the basis of a portfolio of orders of the enterprise and production capacities of the structures created as a result of organizational designing. As a result, consideration of these coefficients will allow to provide uniform loading of technological equipment of the enterprise as a whole as well as rhythmical output of products. Solving such a problem is most solicited in the conditions of production diversification, as the coefficient of customization, realized via flexible reaction to the market needs, provides the necessary competitive advantages for the enterprise (Baranov, 2016a; Gromov et al., 2016).

## 数学代写|数学建模代写Mathematical Modeling代考|Development of the Economic Mathematical Model for Determining Economically Feasible Boundaries of Robotics of Diversified Production

In this case, an annual product innovation plan is formed for the production system to be robotized. During the development of economic mathematical models to determine the economically viable boundaries of robotizing of diversified production, only the operational time ‘stocks’ are taken into account, and the batch launch of manufacturing of product innovations is considered a fixed value.

Based on these assumptions, for an enterprise high-tech organizational and production structure, the question of expediency of robotics of a single unit of technological equipment is considered. In this case, it is assumed that the operating time ‘stocks’ of technological equipment released as a result of robotics can be used to produce product innovations that are not initially assigned to this production structure.

By analogy with the previous case, we choose the maximum Net Present Value as an indicator of the efficiency of robotics of technological equipment. This will correspond to the minimum annual costs for the creation and operation of the robotic unit. The difference between the results and the costs resulting from the year of operation of the robotic unit will be the savings on current operating costs. These savings characterize the reduction of the prime cost of manufactured product innovations. It is assumed that the source of such savings is the robotics coefficient in the technological process. At the same time, we assume that all investments related to the robotics of the production system are made at the beginning of implementation of the technologically oriented project.

Then, by reducing the share of manual labor and releasing workers from the production process, the cost of product innovations will be reduced by the following amount:
$$\Delta P C^{r w}=\sum T R_j \cdot t_j^{o p} \cdot k_j^{o p} N_j^{a n n}$$
where $t_j^{o p}$ – the operative time of the $j$-th operation in the variant to be robotized.

An additional reduction in the cost of product innovations due to the release of technological equipment from the production structure to be robotized will be:
$$\Delta P C^{r t e}=\frac{1}{\Theta} \sum N_j^{a n n} \cdot t_j^{p n} \frac{\gamma_{j q}-1}{\gamma_{j q}} \cdot\left(b^{\text {tech }} \cdot I C^{\text {tech }}+W^{\text {elec }}+W^{\text {tool }}+\right.$$
$\left.C^{\text {space }} \cdot S^{\text {tech }}\right)$ where $t_j^{o p}$ – the operative time of the $j$-th operation in the variant to be robotized.

## 数学代写|数学建模代写Mathematical Modeling代考|Development of the Economic Mathematical Model for Determining Economically Feasible Boundaries of Robotics of Diversified Production

$$\Delta P C^{r w}=\sum T R_j \cdot t_j^{o p} \cdot k_j^{o p} N_j^{a n n}$$

$$\Delta P C^{r t e}=\frac{1}{\Theta} \sum N_j^{a n n} \cdot t_j^{p n} \frac{\gamma_{j q}-1}{\gamma_{j q}} \cdot\left(b^{\text {tech }} \cdot I C^{\text {tech }}+W^{\text {elec }}+W^{\text {tool }}+\right.$$
$\left.C^{\text {space }} \cdot S^{\text {tech }}\right)$其中$t_j^{o p}$ – $j$的操作时间-要自动化的变体中的第一个操作。

## Matlab代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。