Demand Forecasting in SCM for Automobile Industry based on Time-series Modeling

In supply chain management (SCM), product classification and demand forecasting are crucial pillars to ensure companies to have production in the right category and quantity for long-term profitability. Due to COVID-19 from 2019, the automobile industry has been seriously negatively affected as the demand dropped dramatically. Therefore, it is necessary to make reasonable product classification and accurate demand forecasting to facilitate automobile companies in SCM to reduce unpopular product manufacture and unnecessary storage costs. In this paper, the Canada automobile market has been chosen with the period from 1946 to 2022. To classify a number of different types of motor vehicles into several categories with general characteristics, K-means Clustering method is applied. With the seasonal patterns and random generated features for auto sales, the time series models ARIMA and SARIMA are adopted for demand forecasting. According to the analysis, the automobiles fitting in the category with high demand and low price are valuable for further production. In addition, SARIMA Model is more accurate and fits better than ARIMA Model for both the training and test datasets for long-term prediction. The classification and forecasting results shed light on guiding manufacturers to adjust production schemes and ensuring auto dealers to predict more accurate sales in order to optimize the strategic planning. © 2023 SPIE.

INDUSTRY-BASED THERMODYNAMICS CASE STUDY ON REFRIGERATION CYCLE

The case study learning methodology has been used for more than 20 years in teaching science and engineering. This methodology is known to be highly effective in promoting students' understanding of the concepts and improving their ability to make connections between the concepts. In 2020 and 2021, the limited access to laboratory equipment and facilities due to the COVID-19 pandemic encouraged instructors to implement alternative methods. One of the alternatives considered in the current institution is the use of case studies to enhance students' understanding of thermodynamics and fluid mechanics topics during the online and hybrid implementations of those courses. In this study, an industry-based air-conditioning (AC) unit is facilitated to prepare a case study to teach refrigeration cycles in the laboratory part of thermodynamics. All four components of the AC unit, which include a compressor, a condenser, an expansion valve, and an evaporator, are assembled on a single platform. In an actual application, the compressor and condenser are part of the outside unit while an evaporator and expansion valve would be located indoors. In the first phase of the case study, students analyze temperature and pressure data for the normal operation of the unit to understand the function of each component in the cycle. In addition, by using thermodynamics property tables, they determine enthalpy and entropy values at different stages of the process, generate a temperature versus entropy (T-s) diagram, and calculate the efficiency of the AC unit. In the second phase of the study, they are provided with temperature and pressure data collected for the cases corresponding to when there is a problem with the AC unit. They perform analysis of those cases. The examples of issues introduced include part of the condenser or evaporator coils being disabled or using a partially blocked air filter. The equipment used in the case study is modified by the manufacturer to simulate those issues. During data analysis, student teams are tasked with identifying the issue introduced by looking at the changes in temperature, pressure, and T-s diagram. This paper provides detailed information about the case study, data collection, and analysis. Copyright © 2022 by ASME.

Development Status and Trend Analysis of Internet of Medical Things Industry in China

This article analyzes the development status, development trend and prospects of China's Internet of Medical Things (IoMT) industry from a macro perspective. Our survey mainly includes: analyzing the necessity and urgency of China's medical system reform from the various dilemmas faced by China's medical system, and analyzing the development of the IoMT industry based on the current basic conditions of development of the Internet of Things (IoT), information technology and background of COVID-19 epidemic. Opportunities and the evolution of China's IoMT policy were also analyzed. Moreover, from the five aspects of medical industry informatization, Internet hospitals, smart wearable devices, medical AI industry and medical industry digitization, the development status and trends of China's IoMT industry are analyzed. Finally, it looks forward to the development prospects and directions of IoMT industry for health care in China. © 2022 The authors and IOS Press.

The Third Path: A New Approach to Industry-based Undergraduate Engineering and Technical Education in the United States

The driving forces changing how we work and the jobs that we do are impacting organizations of all sizes across all sectors. The global pandemic has accelerated the pace of change and disruption to a level not experienced before. The combination of Industry 4.0, the Fourth Industrial Revolution and COVID-19 are creating a new sense of urgency to drive collaboration between industry and education. In 2022, academic institutions offer three paths to prospective engineering students, which students qualify for via standardized testing;Path 1) 4-year bachelor degrees with “R1” research focus: typically following on to postgraduate degrees and careers in research or academia. Path 2) 2-year associate degree (community college): typically leading to a career based on a technical skill or trade. Path 3) 4-year bachelor degree with industry focus: typically leading to careers in technical-based industries This paper presents a new approach to the “third path,” the industry-based bachelor degrees. The new approach is an alternative to the traditional programs currently offered by the majority of engineering schools in the United States. The traditional academic approach is failing to fill the talent pipeline. Academic policies and practices are unable to keep pace with the exponential growth of technology, the evolving motivations of a four-generation workforce (soon to be 5 generation) and the unpredictable development of new engineering business models [1-4]. The global competitiveness of the United States is at risk, the stakes are too high to stay on the traditional course. The authors contend that paths 1 and 2, despite shortcomings of their own, are in far better shape than the third path, so they are not addressed in this paper. This paper, written more like a position paper, proposes a new model for the third path;it is based on extensive research that was discussed in prior publications by the same authors [10,11,24-26]. The Third Path model proposes revised roles for the four key stakeholders involved in undergraduate engineering and technical education. The stakeholders are: 1) Industry (United States), 2) Academic institutions, 3) Federal and State Governments, and most importantly 4) next-generation student-engineers and technicians. © American Society for Engineering Education, 2022.

Research on the Impact of COVID-19 on Book Industry based on Fama-French Five Factor Model

Asset pricing has been regarded as a popular subject in modern financial research. Covid-19 has imposed a remarkably severe impact on the global economy. Taking the book industry of 49 industries in the French database for analysis, the paper classifies the daily data into pre-epidemic (June 2019-February 2020) and post-epidemic (March 2020-November 2020), and calculates multiple factor coefficients via multiple linear regression. According to the research findings, the book market became sensitive to the impact of the epidemic, while value stocks and firms with stable revenues are favored. There has been no impact caused by the epidemic on the small-scale effect of the industry, with the investment profile factor consistently failing. It is suggested that investors can consider the companies with small market capitalization, high book-to-market ratios, and stable earnings during the outbreak of epidemic. © 2021 IEEE.

Research on the impact of Covid-19 to the clothing industry based on fama-french model

During the Covid-19 pandemic period, the U.S. government and the Federal Reserve started a radical monetary simulation plan to save the economy. The current capital market experiences more fluctuation and are more unpredictable. Capital asset pricing tools are more important at such a special time. This article uses the Fama-French five-factor Model and analyzes the clothing industry in the United States from July 2019 to November 2020, separating into pre and post pandemic periods. The regression analysis performed contains five coefficient factors, and each corresponds to a specific property of the clothing industry after Covid-19 emerged. The market factor indicates that the clothing industry is negatively affected by the pandemic. SMB shows that small businesses are more favorable to investors. HML indicates that value stocks are more preferred. RMW shows that investors tend to look for companies with higher profitability, whereas CMA indicates a minimal change to the clothing industry. It is recommended that more attention should be paid to the companies with small-cap, high BM ratio and stable profitability. © 2021 ACM.

Research on the development of photovoltaic industry based on A company

As the main source of electricity from renewable energy, PV will play a key role in various fields and scenarios to achieve carbon neutrality. With technological advances in the photovoltaic industry and declining costs per kilowatt-hour, the cost of photovoltaic per kilowatt-hour has fallen by more than 90% globally in the past decade, with the biggest decline compared to wind, natural gas, coal and nuclear power. The year 2020 has been an extraordinary year. Under the pressure test and numerous challenges of the global epidemic, the global photovoltaic industry has maintained a good momentum of development thanks to the rapid and effective control of the COVID-19 in China and the obvious growth of the domestic market. Based on the domestic monocrystalline silicon photovoltaic leading A company as an example, through to the company business model and the results of data analysis in recent years, suggested that the company in the four aspects to carry on the improvement and optimization, including: further globalization, adhere to customer value orientation, implement the product strategy and tries to build up A creative organization, leading to the photovoltaic industry as A whole in China benign development help. © 2021 The Author(s)