## 经济代写|供应链管理代写supply chain management代考|PROJMGNT7030

2022年9月22日

couryes-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
• (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
couryes™为您提供可以保分的包课服务

## 经济代写|供应链管理代写supply chain management代考|THE USE OF IOT AND AI FOR RISK AND DISASTER MANAGEMENT

The technological change that IoT generates for people’s lives goes beyond the daily facilities as seen in the automation of a smart house, providing connectivity to objects and making room for intelligent commands in the various daily tasks, in addition to significantly increasing productivity at work, improving public and private security conditions, improving urban mobility as well as streamlining industrial processes, among others [22].

With IoT, it is possible to obtain data on human trends that were previously unimaginable, from generic information on behaviors that make up the volume of data known as Big Data, making human difficulty regarding the translation of all this data accumulation with traditional methods, since, in addition to this large amount, it is difficult to guess what information will be found, which by $\mathrm{AI}$ is possible due to natural language processing, generating valuable values and insights. Combining these aspects, the computer is shaped according to the information it finds, where throughout the process, it changes with the results delivered, through machine learning [23].

This process of generating, analyzing data, and creating insights can be used by several sectors, such as agribusiness, commerce, industry, health, transportation, public services, among others. Just as the IoT together with AI contribute to disaster management to be qualified by employing new technologies to identify situations and act preventively, avoiding the loss of assets and resources, as well as people’s lives [24].

These technologies range from sensors to algorithms capable of reading and analyzing the information captured, making it possible to offer reliable data for the management of these disasters, provided that the use of wireless sensor networks, adopting sensor networks based on IP as well as using emerging standards for IoT, for data collection and the use of machine learning techniques oriented on top of the information collected from these sensors for the prediction of natural disasters are viable options, due to such technological trends have shown over time to be promising aggregating in the forecast natural disasters and environmental monitoring task [25].

In the industrial context, natural disasters are a serious problem since until a few decades ago, there was no way to deal with them, since everything that could be done to reduce risks was related to backup ensuring access to data, the construction of safe structures for installing companies’ machinery and purchasing insurance, ensuring possible material damage [26].

Thus, with the advent of IoT, it generated an impact allowing for the prior knowledge of risks and disasters, which represents a competitive advantage, from an industrial and business point of view, since IoT devices work under less than ideal conditions, in relation to scenarios where there is a very weak wireless connection or few sources of energy, with the need to use technologies such as LoRa (Low Power) to use and perform triage and detect the beginning of tectonic activities with precision, for example, with the IoT changing how to face problematic situations and can even save lives [27].

## 经济代写|供应链管理代写supply chain management代考|THE IOT RELATIONSHIP IN THE SUPPLY CHAIN DURING DISASTER

IoT can be applied throughout the supply chain, bringing benefits to the various logistical functions such as storage, inventory management, transportation, meeting demand, and customer service, for example. IoT resources can help promote a digital ecosystem of connected systems, providing users with relevant and up-to-date data to make a more accurate decision at any given time. These benefits range from reducing costs by reducing waste, reducing resource consumption, and better use of assets to improving the service level by adding time, place, quality, and information [40].

IoT enables a new level of operational efficiency, in addition to creating leverage automation and IoT solutions for intelligent manufacturing operations to mitigate the dependence on labor-intensive processes made possible by digital technology, allowing the standardization of daily work and assisting it, relieving the pressure of relying on specific individuals to make an operation work [40].

The idea of the Intelligent Supply Chain is yesterday a digital perception and vision through the IoT regarding environmental crimes, minor and moderate disasters, such as floods, volcanic eruptions, and earthquakes and social losses, which forces the optimization of the Supply Chain requiring an independent preparation in relation to climate and natural disasters. With recent weather patterns too unusual around the world, companies need to assess the risk of downtime and interruptions by updating their risk management strategies to deal with global climate change [41].
After all, through the virtualization of processes and automation brought by IoT, it is possible to completely transform the production process, in a short time, since these practices together with environmental responsibility and concern for the customer create a network of strategies to optimize the process productive, reducing losses, failures, and negative impacts [41].

IoT and visual recognition technology through installed sensors are able to better manage demand in refrigerators installed in convenience stores, restaurants, and supermarkets, since it is possible to increase the visibility of the inventory and to respond better to an event such as the coronavirus outbreak. COVID-19 currently plaguing the world, even though distributors cannot provide forecasts [42-44].
Considering that logistics in crises is an area applicable in situations of disasters and catastrophes, in which the strategic objectives of the supply chain, classically aimed at reducing operating costs and investments together with improving the service level, in a context emergency, seeks to maximize the service level with the shortest possible delivery times. Considering IoT-based business intelligence related to the fleet of vehicles, sensors, equipment, cameras, and many other “things” exchanging information in real time $[45,46]$.

# 供应链管理代考

## 有限元方法代写

tatistics-lab作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## 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。