assignmentutor-lab™ 为您的留学生涯保驾护航 在代写供应链管理supply chain management方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写供应链管理supply chain management代写方面经验极为丰富，各种代写供应链管理supply chain management相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (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|LITERATURE REVIEW

Industry $4.0$, as related to the procurement and supply chain areas, is a relevant research area attracting particular interest in academia and as well as practitioners (Frederico et al., 2019). In this area, the literature is limited as of now. According to Bag et al. (2020), the combination of digitization and procurement is an area to be investigated.

Geissbauer et al. (2016) highlighted the actual state-of-the-art of the interaction of “procurement” and “digitization.” They outlined a future framework based on challenges and requirements. A systematic literature review by Frederico et al. (2019) aims to propose the term “Supply chain $4.0$ ” and a novel conceptual framework capturing the essence of industry 4.0. This study aims to facilitate perspective of the development of a supply chain $4.0$ strategy from infancy to a maturity level.

While digitization is a key driver of industry 4.0; an article by Bienhaus and Haddud (2018) underlines the differences in the organization approaches to deal with this topic. It helps to get a clearer picture of the opportunities and challenges relative to the digital transformation. The findings of this paper indicate that digitization of procurement process can support daily business and administrative activities. Procurement will also start supporting complex decision-making processes. In this way, procurement will become more focused on strategic decisions and activities. It will become a crucial interface to support organizational efficiency, effectiveness, profitability, and the definition of new business models, products, and services.

Other authors state that industry $4.0$ can also be called “smart manufacturing” and “the next industrial revolution” (Geissbauer et al., 2016). A combination of new technologies – from big data analytics (Russom, 2011) to 3D printing (Mohr, and Khan, 2015) – is revolutionizing organizations’ decisional, operational, and administrative processes. It supports the creation of innovative products and services. In diverse industries, organizations need to consider the way digital innovation can disrupt organizations’ work today and the entire value proposition of procurement to their vendors, customers, and process partners.

## 经济代写|供应链管理代写supply chain management代考|APPLICATION OF THE MODEL

Alfa is a multinational food business operating in the global markets, with annual sales of two billion euros (The name is fictitious due to a nondisclosure request) (Perona, 2019). For moving to procurement 4.0, this company planned to use the following solutions:

• Cybernetics through RPA. It is the automation of simple and repetitive activities, which need no longer be carried out by the procurement team. An example of this activity is the verification of the completeness of the documents provided by the bidders in a tender. This solution can verify if the managers have approved the order and all the operational and administrative steps required are complete.
• Controllership through integrated analytics (IA) allows to switch from the provision of elementary information and information based on the knowledge of the analysis of aggregated processes to the statistical inference and multivariate analysis.
• Cognitive procurement processes optimize the implementation of responses of the procurement based on the context. Cognitive computing, for example, allows the interpretation and response to requests of the partners, made via emails, chats, or calls.
The use of these solutions can bring benefits, such as the possibility of reducing the number of the procurement office staff of 41 full-time equivalents (FTEs) out of $112 .$ corresponding to $37 \%$ of the total procurement workforce. There are other benefits regarding procured materials and services. They can decrease the procurement costs of these materials/services, delivery times and time reliability, quality of materials and services, and similar.

# 供应链管理代考

## 经济代写|供应链管理代写supply chain management代考|APPLICATION OF THE MODEL

Alfa 是一家在全球市场运营的跨国食品企业，年销售额达 20 亿欧元（该名称因保密要求而虚构）（Perona，2019 年）。为了转向采购 4.0，该公司计划使用以下解决方案：

• 通过 RPA 实现控制论。它是简单且重复性活动的自动化，不再需要由采购团队执行。该活动的一个例子是验证投标人在投标中提供的文件的完整性。此解决方案可以验证经理是否已批准订单以及所需的所有操作和管理步骤是否已完成。
• 通过集成分析 (IA) 进行控制允许从提供基本信息和基于聚合过程分析知识的信息切换到统计推断和多变量分析。
• 认知采购流程根据上下文优化采购响应的实施。例如，认知计算允许解释和响应合作伙伴通过电子邮件、聊天或电话提出的请求。
使用这些解决方案可以带来好处，例如可以减少 41 名全职当量 (FTE) 的采购办公室工作人员数量。112.对应于37%采购人员总数中。采购的材料和服务还有其他好处。他们可以降低这些材料/服务的采购成本、交付时间和时间可靠性、材料和服务的质量等。

## 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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