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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|Strategic choices and design levers

The use of Design Levers must start from a clear identification of the production system’s primary goals, in turn derived from the company’s more general strategic goals, according to the approach defined as Strategic Alignment or Strategic Fit.

Those goals, often linked to a company’s positioning on its market, must in fact pervade all of the company’s activities; and while indicating the trajectory of the competitive efforts, must define the sub-units’ goals (in terms of process, project, etc.), with a cascading effect, including those in the area under investigation here, Operations. As illustrated in Figure 1.5, and limited to the area considered in this book, the sub-units’ goals can be numerous and often antithetical. For example, think of a logistics system that attempts to jointly pursue limited investments in stock and high levels of service, or a production line which seeks maximum saturation and versatility, or of a company that pursues low costs and a high quality of resources used. The traditional approach to production choices is thus based on the concept of focalization: in the presence of divergent objectives, it is necessary to prefer one (or some that are coherent with each other) and consider the others residually, like dependent variables. Competing on cost cannot translate into sacrifices of quality and service. Searching for personalization of production, all other conditions being equal, necessarily leads to an increase in management complexity.

Having defined the set of objectives assigned to the logistics-production system, it is now necessary to shape a situation able to adequately respond to the priorities identified, through the use and coherent integration of all of its components, or design and management levers.

## 经济代写|供应链管理代写supply chain management代考|Typological analysis of production processes

Before addressing the relevant issues in Operations Management, it is necessary to at least briefly examine the characteristics of the different production processes that we will consider. Here, we limit ourselves to suggesting two models of typological analysis of production processes, that in our view lend themselves more than others to highlighting the distinctive characteristics and to supplying the framework in which to situate the problems dealt with in this book.

The two classifications, despite dealing with the same theme, are not to be consid ered alternatives, due to the different intentions behind them. The first is particularly useful for descriptive purposes, despite offering an essentially static perspective. The second, in introducing elements regarding management and due to greater intrinsic dynamism, comes closer to the areas explored in the book. As we proceed we will thus constantly refer to both, with the aim of maintaining a single conceptual frame of reference regarding the issues observed, that unites the proper terminological rigor with the technical-management approach adopted as the leitmotiv of the work.

Figure $2.1$ shows the first classification, that identifies three essential profiles for the analysis of production systems: the methods of responding to demand, the criteria for managing the production volumes, and the characteristics of realizing the produci (Brandulese ei al., 1991).

On the vertical axis of the three-dimensional representation, we see the distinction relating to the Methods of response to demand: Production aimed at replenishing a stock level, also defined as MTS – Make To Stock (or Assemble to Stock or Delivery to Order) is highlighted – which generally entails working based on forecasts, anticipating the production phase with respect to that of acquiring orders, and Production to order, in which the transformation takes place following the acquisition of the client’s order. We can also distinguish between a differentiated (or single) order, also known as ETO – Engineering To Order – for which it is necessary to await the order to launch the product’s design and execution phases, and a characterized (or repetitive) order, for which the general design is prior to the time of acquisition of the order, except for detailed interventions and customization, and it becomes necessary to proceed only with its execution. In terms of the method of managing Production to order flows, this is possible through systems such as ATO – Assemble To Order, MTO – Make To Order and PTO – Purchase To Order, depending on the section of the production cycle influenced by the specifications of the client order. In cases where both the design and the definition of product specifications completely precede the order and the physical production, we generally speak of catalogue production to order.

# 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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