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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 经济代写|供应链管理代写supply chain management代考|RESULTS AND DISCUSSION

Developing countries are looking to use BDA in their industries and manufacturing companies, but there are many obstacles to accepting BDA in LSCM of these countries. Industry managers in developing countries seek to identify and address these barriers. Iran is one of the countries facing many challenges in implementing BDA. In this study, barriers to BDA in LSCM are identified and ranked according to the existing production environment in Iran. The identified barriers include the five main barriers and their sub-barriers. HBWM is used to weight and rank the barriers and sub-barriers. The HBWM reference comparison questionnaires were prepared by consulting multiple experts in the Iranian manufacturing industry. The most significant and least significant barriers were selected for reference comparisons and then the rest of the barriers were compared and a number ranging from 1 to 9 was assigned to each of them. Table $3.4$ shows reference comparisons of the main and sub-barriers.
Using Table $3.4$ and the HBWM model presented in Equations (3.1) $-(3.8)$, the weights and ranks of the main and sub-barriers were calculated using LINGO software. Finally, the weights of the main barriers and local and global weights of sub-barriers were calculated. The weights and ranks of the barriers are shown in Table 3.5.

The results show that the data-related barriers have the highest weight in the LSCM, and also, the most important sub-barrier in this area is the degree of data complexity that will undoubtedly have a significant impact on BD analysis. This shows that managers should pay more attention to the barriers that are directly related to data when using BDA in LSCM. Technological barriers were identified as the second major barriers. Technological factors play an important role in the acceptance and implementation of $\mathrm{BD}$, and appropriate infrastructure for technological tools must be prepared. Expertise and human-related barriers and organizational barriers jointly ranked third, and political barriers ranked fifth.

## 经济代写|供应链管理代写supply chain management代考|MACROENVIRONMENT

The world is undergoing a dramatic impact from the current outbreak of the pandemic; organizations did not escape from this situation (Williams et al., 2020). One of the functions most impacted has been procurement. Procurement was already undergoing some drastic changes in connection with the digital transformation. The pandemic has brought difficulty in procurement from many vendors and challenges in logistics (Kuziemski, and Misuraca, 2020). There is the need to work and organize remote working. At the same time, there is a drastic surge of online activity and e-commerce. In this scenario, procurement cannot stay still. It must become an engine of innovation and change. In this vision, it is necessary a radical re-thinking of procurement in all the organizations. In this respect, it is important the acceleration toward procurement 4.0, initially generated by the development of industry 4.0. Even if procurement $4.0$ was born out of industry $4.0$, it is essential to have a vision of procurement $4.0$ as a transformation not only in the procurement function but also in the relationships with partners outside the organization. Procurement $4.0$ includes the idea of a different business model, more agile, lean, interconnected, and flexible; it is essential to understand which are the CSFs. It is necessary to warn that the situation is in a rapid change and procurement $5.0$ is not far away. The CSFs will be important to assure success to the transforming organizations.

# 供应链管理代考

## 有限元方法代写

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## 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。

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