Development Of Automotive Industry Research Articles

An Analysis of Tesla's Disruptive Innovation Strategy

With the rapid development of new energy vehicles, governments and automobile manufacturers are generally aware that environmental protection is an important direction for the development of the future automotive industry, and Tesla, as a representative of the global new energy electric vehicles, has great research significance. In the fierce environment of the automobile market, Tesla has won the leadership position with many innovations. Therefore, the company is considered a disruptive innovation by the public. This paper focuses on whether Teslas innovation is disruptive innovation, and studies Teslas disruptive innovation strategy through literature reading and qualitative analysis. This paper discusses the definition of disruptive innovation, Teslas current innovation status and explores the difference between it and incremental innovation. This paper draws the conclusion that Tesla is a disruptive innovation by considering whether it creates a value network as a breakthrough point. Finally, the paper puts forward some suggestions, including extending the product line, adjusting its price to maintain its competitive advantage and innovation, adjusting the channel level based on local markets, provide more extreme and detailed experiential marketing and after-sales service, so as to promote Tesla's sustainable innovation.

Research on the Network Communication Strategy of New Energy Vehicle Brand in Xi an China -- Taking NIO as an Example

With the increasing global attention to sustainable development and environmental protection, new energy vehicles have become the main direction of transformation and upgrading of the global automotive industry and green development. As one of the world s largest auto markets, China is also actively promoting the development of the new energy vehicle industry. This project will visit the sales points and service centers of NIO in Xi an market to understand the specific implementation of its network communication strategy. Therefore, this research intends to establish a perceived intention model to analyze the related factors of network communication effect in the light of Technology Acceptance Model (TAM). At the same time, the questionnaire survey method is adopted to collect data on the network communication strategy and consumer feedback of NIO, learn consumers feedback and satisfaction on the network communication strategy of new energy vehicles, provide key market insights, and better understand consumers demands and expectations.

Фронтиры развития автопроизводства в РФ в условиях адаптации к новым вызовам

The automotive industry is one of the main industries in mechanical engineering. It accounts for a large share of capital investments. The conveyor assembly system, which was widely used in this industry at the time, radically changed the entire industry of the XX century. The multiplicative effect of car production makes the industry the "locomotive" of the economy. The automotive industry is today one of the frontiers in the development of our country's economy. The purpose of the study is to analyze the situation in the Russian car market and assess the prospects for the development of the Russian automotive industry in the context of the consequences of the COVID-19 pandemic and the strengthening of sanctions restrictions by unfriendly countries. In the process of working on the study, methods of analysis, synthesis, description, comparative, problematic, logistic and dynamic methods were used. According to the results of the study, the following conclusions were drawn: the automotive industry plays an essential role in the processes of globalization of the modern economy. However, the disruption of logistics chains had a negative impact on the situation in the domestic automotive industry and the consumer market, led to a reduction in production and an increase in unemployment in this industry. The way out of this situation is to reorient domestic car production to cooperate with companies from friendly countries, such as China, and establish logistics chains through intermediary countries, such as Kazakhstan, but adjusted for minimizing costs. An important role in solving this problem can be played by the development and implementation of an import substitution mechanism in the production of domestic cars, including electric cars. The novelty of the study lies in the fact that the proposed frontiers in the stabilization of Russian automotive production have been identified taking into account the impact of both external and internal factors in the current volatile economic situation caused by the reaction of unfriendly countries towards Russia.

Nonlinear impact of automobile industry agglomeration on CO2 emission: Incorporating urban characteristics in China

Despite the increasing economic benefits generated by the cluster effect of the automotive industry, CO2 emissions have become a serious challenge in the “3060” dual-carbon context. There are significant uncertainties regarding the impact of automotive industry agglomeration on urban CO2 emissions, including quantifying impact thresholds and understanding the sensitivity of different agglomeration patterns. This study explores how automotive industry agglomeration impacts CO2 emissions across 278 Chinese cities, and uncover the impact patterns based on varying city characteristics. The results show that the technology agglomeration of the automobile industry exhibits a nonlinear “U-shaped” impact on CO2 emissions with a threshold value of 0.4267, while the scale agglomeration shows a nonlinear inverted “U-shaped” impact with a threshold value of 0.1206. In low-carbon demonstration cities, technology agglomeration has the most significant impact, with fluctuations ranging from −14.65% to 16.12%. In contrast, transitional cities are most affected by scale agglomeration, with a fluctuation range of −18.1%–11.19%. Besides, the results indicate that China's automobile industry development programs tend to relocate economic activities from highly agglomerated low-carbon demonstration cities to potential development cities with lower levels of agglomeration and other transitioning cities. Lastly, the results reconfirm that developing automotive industry development models based on cities' characteristics can enhance the environmental benefits of industrial agglomeration.

ANALISIS DAMPAK HARGA DAN KUALITAS LAYANAN TERHADAP LOYALITAS PELANGGAN BENGKEL TOYOTA AUTO2000 SANUR

Development of automotive industry in Indonesian market opens up opportunities for automotive companies to enter it. This phenomenon has caused intense competition in the automotive sector, including in the workshop industry. To build a sustainable business, it is crucial for workshop industry to develop a long term relationships with customers to enhance their customer loyalty and competitive advantage. Therefore, study was conducted regarding the impact of price and service quality to customer loyalty. Population of this research is customers who use car maintenance services at the Auto2000 Sanur workshop in 2023. Sampling was conducted using purposive sampling method, concentrating on customers who do not use certain service packages. Primary data was gathered by giving questionnaires to 389 participants via social media. The data collected was studied with multiple regression using SPSS software. Findings of the research indicate that both price and service quality have a positive and significant influence to customer loyalty, both partially and simultaneously with a large influence of 86.7%, where the rest is affected by other factors that are not addressed in this study.

Research Progress and Prospect on Profile Roll Forming Methods and Equipment

Abstract: In recent years, with the development of aerospace, automotive, rolling stock, shipbuilding, military weapons and other industries, the demand for bent and rolled parts is increasing, and the requirements for roll forming accuracy are growing. With the rapid development of coal power, hydropower, nuclear power, wind power, and petrochemical industries, the design and research on roll bending machine and the profile roll forming methods have come into focus. The purpose of this study is to summarize the classification and characteristics of roll bending equipment, analyze the reasons that affect the accuracy of profile bending, and propose specific solutions. This paper summarizes the research status and patents on the existing roll bending equipment, introduces its structural characteristics, differences, and molding effects, and focuses on the difficulties, optimization, and improvement methods of roll bending molding. In this paper, the mechanical structures of the existing roll forming equipment have been analyzed and compared, the effects of different roll forming equipment on the profile bending results have been determined, and the reasons affecting the bending accuracy have been pointed out. By summarizing the patents and research on profile roll forming methods and equipment, the current situation and future research prospects of roll forming equipment are discussed. The roll forming equipment is divided into a roll bending machine, a CNC roll bending machine, and a flexible roll bending machine. Each design can meet different profile processing needs. From the design point of view, the optimization under the given processing profile can achieve relatively high processing accuracy. However, the processing of different profiles will still produce geometric defects, and there is some space for improvement in the structure of roll forming equipment, the materials of processing rollers, and the NC interactive system. Thus, further research on profile roll forming is needed in the future.

The Role Of The State In Turkey’s Domestic Automobile initiatives (Devrim and Togg)

The automotive sector, where the highest foreign investments are made in the world, plays a critical role in the economic development of countries. The reason why the automotive sector is the locomotive in the development of national economies is that it has strong ties with other industrial branches of the economy in the production process. Therefore, the sector is seen as a strategic development tool by governments. Therefore, supporting the sector through various incentives or direct public capital is a long-standing development policy. In this study, the development stages of Turkey's automotive industry, the policies pursued by the state to strengthen the automotive industry, and other factors that contributed to the development of Turkey's automotive industry are examined specifically through Turkey's two domestic automobile initiatives (Devrim and Togg). In line with the aim of the research, studies on the automotive sector in Turkey from the Ottoman period to the present have been analyzed. In particular, a detailed literature review was conducted with the studies on Turkey's first domestic automobile initiative, Devrim cars. The resource dependency theory, which is considered to be related to the subject of the study, was examined and then the relationship between the state and the business world in Turkey was briefly summarized. Finally, the role of the state in Turkey's domestic automobile initiatives (Devrim and Togg) was analyzed.

Development of Mexican and Turkish Automotive Industries in Historical Perspective

Purpose: The purpose of our article is to examine the Mexican and Turkish automotive industries in a historical perspective, because a historical analysis will be able to show us why the automotive industries of the country we are considering are not among the world's leading automotive industries. Additionally, the course of historical data over time can also support the analysis. Therotical Reference: For the first time, David (1985) put forward that it is necessary to examine the process of innovation of new products based on new technologies in a historical perspective, and David (2000, 2001) stated that the ergodic steady increase in production in sectors and industries depends on the sector or industry being able to create a unique development path. He stated that it was. He stated that the reason why there is no consistent ergodic production increase in sectors or industries is that it has a path-dependent development structure. According to David, path dependence may have been caused by an event or market formation that occurred in the recent or distant past. Method: It has been revealed that a past event for the Turkish automotive industry caused the formation of a new socio-cultural structure, leading to a path-dependent development in more or less all sectors, but especially in the automotive sector. This path-dependent development structure seems to have caused an unstable production structure in the automotive industry. When we look at the efforts to produce domestic automobiles throughout history, it is understood that there is always a tendency to be hindered or to think that they are being prevented. Results and Conclusions: Although there has not been a historical process similar to that in Turkey in the Mexican automotive industry, the fact that stable and ergodic production increases have been experienced in the industry, especially in the recent period, indicates that the automotive industry, which started as the assembly industry of foreign companies, has entered the process of creating a new path or creating a path with recent developments. We can say. In this process, it can be said that Mexico is a border neighbor with the USA and the investments of the three major automotive industry companies of the USA, which is one of the largest producing countries in the automotive industry, in Mexico, played a major role. Implication of research: In reaching this conclusion, in our study, the automotive industry history of the countries we discussed were examined and the annual production figures in the automotive industry in the last decade were discussed. In examining whether there were developments in the past of the countries that could lead to path dependency, the breaking point where path dependency occurred in Turkey, in the Ottoman period, was clearly identified and it was revealed that the events that took place after this date strengthened the path dependency. Past historical events for Mexico were examined and events that could affect the development of the automotive industry were discussed. Originality of article: Thus, we can say that, on the one hand, we tried to contribute to the literature and developments on the path dependency approach, which says that history is decisive, and on the other hand, a different perspective was brought to the developments in the automotive industry.

Implications of Generative Al and Machine Learning on Automotive Industry Development & Reduction of Carbon Footprint: An Analysis of the U.S. Economy Perspective

The U.S. automotive industry is instrumental to the economy and contributes significantly to the American GDP, employment, and global trade. The principal objective of this research paper is to examine the implications of Generative AI and ML in advancing the automotive industry from the U.S. economic perspective. Generative AI is the latest frontier in artificial intelligence software development, where algorithmic generation can be achieved across various types of content: text, images, audio, and video. The generative AI in the Automotive market at the global level had witnessed boisterous growth and commanded a value of approximately $389.47 million by 2023. The analysis exposed that North American regions are dominating the market, which was attributed to high technological infrastructure, along with partnerships among automotive companies with research institutes and universities to foster AI innovations. Application analysis exposed that Advanced Driver Assistance Systems (ADAS) had the biggest market share, indicating a strong focus on developing and implementing Generative AI technologies to enhance driver safety and vehicle autonomy. Followed by, Connected Car Technologies, representing growing efforts towards implementing generative AI solutions that will improve vehicle connectivity, infotainment, and user experience. The impact of Generative AI and Machine Learning can be witnessed in terms of virtual prototyping, generative automotive designs, consolidation with the CAD system, supply chain optimization, Sensor Fusion and Perception Enhancement as well as automotive manufacturing process optimization.

Evolution Characteristics and Influencing Factors of City Networks in China: A Case Study of Cross-Regional Automobile Enterprises

The optimization of the spatial structure of the city network is conducive to the scientific spatial distribution of industries and the promotion of coordinated regional development. This study selected the top 100 automobile enterprises in the Chinese stock market that belong to China’s pillar industry, a total of 1455 headquarters and branches, to establish an enterprise matrix. Based on the ownership linkage model, the evolution characteristics of city networks in China from 2000 to 2020 are revealed, and the influential factors of city networks are discussed using the negative binomial regression model. The findings are as follows: (1) there are significant differences in the status of automobile cities, forming a “pyramid network” hierarchy. (2) The agglomeration area of automobile cities has formed the development region of “4 + 4 + 1”. (3) The city network with hierarchical connections has formed a spatial structure of a “cross–cobweb” in the middle and “trapezoid–diamond” in the periphery. (4) Urban transportation conditions, the scientific research environment, the enterprise agglomeration economy, GDP per capita, and technological proximity positively impact the formation of a city network, but the total export–import volume has a negative impact. Overall, the government can use this study’s results to formulate policies for the automotive industry and urban development.

The Development of China's New Energy Battery and Automotive Industry

This paper provides an in-depth analysis of the development of China's new energy battery and automotive industry, focusing on the transition from traditional vehicles to new energy vehicles (NEVs) due to global energy restructuring and environmental concerns. The Chinese government's significant policy support for NEVs and related power battery sectors is highlighted, emphasizing their role in reducing carbon emissions and promoting environmental conservation. The paper traces the evolution of China's new energy battery and automobile industry, characterized by rapid technological progress and strategic national support. It examines various battery technologies, including lead-acid, nickel-based, and lithium-ion batteries, each with unique benefits and challenges. Lithium-ion batteries, despite their high cost and safety concerns, are preferred for their superior energy density and cycle life. The current development status of the industry is discussed, addressing rapid growth, technological innovations, and challenges such as battery inconsistency, safety, and recycling. The paper emphasizes the significance of technological advancements in power batteries, drive motors, and NEV system configurations. Looking to the future, the paper anticipates continued growth in China's NEV and power battery sector, driven by technological innovations, policy support, and alignment with China's dual-carbon strategy. Challenges such as cost control, safety, and battery recycling are recognized as critical areas for future development. In conclusion, the paper asserts that while China's new energy battery and automobile industry is poised for significant growth, it faces multifaceted challenges that require collaborative efforts from the government, industry, and research bodies to ensure sustainable and safe advancement.

Prospects for the Development of Vehicle Assembly Plants of Chinese Automobile Brands in Kazakhstan: An Example of Multi-Sectoral Diversification of the Economy to Increase Its Sustainability

This article discusses the problems that arise and must be resolved in order to ensure the efficiency and sustainability of Chinese-brand automobile assembly in Kazakhstan. Kazakhstan is shown as a model of an oil-driven economy seeking industrial modernization and the most dynamic car assembly case in Central Asia in the past 5 years. Since the automotive industry development strategies in different countries have various specific characteristics and provide an overview of the main global and regional trends in the development of the automotive industry, the problems of industry development also leverage the accumulated experiences of different countries where government initiatives have fostered the growth of their domestic automotive industry. Although we use standard and well-proven methods of analysis, planning, and forecasting, the novelty of the approach lies in the fact that any new company entering the market and opening a new production facility should focus on maintaining the sustainability of the country’s automotive industry within the framework of the adopted industry development strategy. We have developed such an algorithm for planning a strategy. The blend of traditional methodologies and their adaptation makes the suggested methodology new. We also considered the fact that, due to a lack of knowledge, there are significant challenges when determining whether localizing automobile components is feasible. An assessment of the prospects for the automotive industry in Kazakhstan based on data from open sourcesmade it possible to develop options for possible strategies from which the most appropriate one can be selected. The conclusion chapter presents findings, limitations of the study, and directions for future research. The use of this approach allows for considering the interplay of the factors at the stage of an industry development strategy emerging and establishing long-term plans that take into account the specific characteristics of Kazakhstan’s development.

How to promote the transition of fuel vehicle enterprises under dual credit policy? An improved tripartite evolutionary game analysis with time delay

Under the context of carbon peak and carbon neutrality, new energy vehicle (NEV) is considered as ultimate objective in development of automotive industry. To facilitate sustainable growth of automotive market and ensure a smooth transition for fuel vehicle (FV) enterprises, this paper constructs a tripartite evolutionary game model based on tripartite Hoteling model, which involving NEV enterprises, FV enterprises and governments. The herd effect and time-delay effect are considered to improve the tripartite evolutionary game. Results indicate that: (1) Fund feedback to NEV enterprises will counterintuitively decrease probability of active assistance from NEV enterprises. (2) Governments’ willingness for strict involvement positively correlates with supervision costs but negatively correlates with additional benefits. (3) Time delay in funds leads to weak effect of high default penalties in promoting active assistance of NEV enterprises in early stage, but opposite situation appears in later stage. (4) Higher NEV production proportion counterintuitively stimulates FV enterprises to give up transition. (5) High rewards drive diffusion of herd effect, further increasing competition among vehicle enterprises leading to FV enterprises giving up transition. (6) Herd effect and time-delay effect increase dependence of FV enterprises on funds results in higher sensitivity of credit trading price compared to credit ratio requirement.

Analysis of the Impact of Impact of AI on the Car Industry - taking BYD Co., Ltd as an Example

The manufacturing industry is the pillar of the national economy and the foundation of national power. With the development of China’s economy and society, as well as the improvement of science and technology, the transformation and upgrading of China’s manufacturing industry is also more urgent. At present, in the field of manufacturing, artificial intelligence technology and manufacturing technology are constantly integrating, gradually forming an intelligent manufacturing base. As the core industry of China, the car industry embodies mechanisation, automation, and intelligence, and artificial intelligence is now widely applied in this industry. Representative technologies such as speech recognition and computer vision have brought intelligent and convenient experiences to the car industry and car companies themselves, improving safety, innovation, and efficiency. The current Chinese car industry has made significant progress in the application of artificial intelligence, and has made many breakthroughs in research, development, and production. This report takes BYD auto company, which has occupied a large market share in recent years, as an example. Based on previous annual financial reports and some literature in related fields, this report analyses the impact of artificial intelligence on the development of the BYD enterprise. At the same time, this report studies this company’s current application of artificial intelligence and explores the possibility of wider application of artificial intelligence in the automotive industry and enterprise development.

Sustainable Design Process Management in a VUCA-World – A Survey on Risk and Technical Change Management in Automotive Industry

Being sustainable is one of today’s greatest challenges in the design process for the automotive industry. Upcoming trends in market and technology, disruptive changes (i.e., autonomous driving) as well as VUCA-factors aggravate the demand for flexibility, resilience, and sustainability in a system development. Sustainability in engineering and product design also requires corresponding processes to establish a framework and moreover a guideline.This exploration represents results out of a survey as part of a wider research. The investigation is based on state-of-the-art literature resulting in an empirical study. Objective is the development of a sustainable process orientated method for risk and technical change management for system development projects in a VUCA-world. The considered aspects are complexity, (re-) action, quality, Generic Systems Engineering, and VUCA. The involvement of a transdisciplinary system development team supports the creation of a powerful method: Combining experiences, different perspectives, as well as considering existing pain points and hints of optimisation potentials. In summary, this elaboration presents information on the current situation as well as applicability of defined aspects for a powerful method.Concluding, this publication provides information on the considering elements to design a sustainable process model for risk and technical change management, for system developments in automotive industry.

Designing a Model of Factors Influencing Marketing and Competitiveness in the Automotive Industry in Iran

Competitiveness is among the critical topics that has been emphasized in the management and marketing literature in recent years. The increasing competition and the abundance of products produced by automotive groups both domestically and internationally have presented Iranian customers with a wide range of choices. This study seeks to identify, categorize, and model the factors influencing the marketing and competitiveness of the automotive industry in Iran by employing the qualitative thematic analysis research method. In this regard, interviews were conducted with 14 professors and senior experts in the automotive marketing field, each with a minimum of 10 years of work experience and at least a master's degree. According to the qualitative model, 11 main categories were identified and classified under contexts, processes, and outcomes as follows: The context category includes domestic and foreign investment attraction, proper policymaking, sanctions, state ownership, and monopoly. The process category includes marketing and competitiveness in the automotive industry, knowledge and technology development, improvement of design and production processes, and improvement of services. The outcomes of the presented model include customer satisfaction and increased market share. Additionally, the variables of proper policymaking and domestic and foreign investment attraction had the highest frequency, indicating the greater importance of these variables in the research model.

Powertrain structure analysis of extended range electric vehicles

Since its invention, the internal combustion engine has greatly contributed to the development of human civilization and is also an important symbol of the progress of human civilization. The energy and environmental problems brought by traditional automobiles have seriously restricted the development of today's automotive industry. Due to the bottleneck of pure electric vehicle power battery technology, its short range and short battery life, the extended range electric vehicle is a smooth transition model of the pure electric vehicle, with its high efficiency, small battery capacity, long driving range and other advantages have received widespread attention. In this paper, the key technical issues, including the component selection, parameter matching, and control strategy of the extended-range electric vehicle drive system, are analyzed and discussed in detail. Several issues worthy of attention in future research are pointed out in the paper and provide insights for further development of extended-range electric vehicles.

MODELING OF ROUGH ROTARY MILLING OF CRANKSHAFT PINS

The development of the modern automotive industry requires a quick adaptation of new production methods. This is possible thanks to software capable of simulating manufacturing processes. The paper discusses the modeling of the machining operation of a crankshaft’s crankpins for a diesel engine with the use of the planetary milling method. i.e., modeling of milling operation when a disc milling cutter, having its cutting inserts directed inwards, is performing rotary motion, and at the same time, the axis of this milling cutter circulates around the axis of a machined crankpin. For this purpose, a geometrical model of the machining of the crankshaft’s crankpin has been developed. Based on the design documentation of the crankshaft of the 4C90 type diesel engine and the documentation of the Steyr internal disc milling cutter, their CAD models have been developed, and the both models were linked together with suitable kinematic dependencies. In the next step, the crankpin having a length of 25 mm was divided by planes (in quantity lp=21) into 1.25 mm sections. On the main cutting edge of two cutting inserts of the disc milling cutter, points were marked at intersection locations with these planes. Using the Inventor 2016 system, twelve spline curves have been generated for each plane because each plane intersects 12 cutting inserts mounted in cassettes positioned around the circumference of the body of the disc milling cutter. Next, the spline curves were brought to a common coordinate system, rotating them at an angle resulting from the positioning of the cassettes with cutting inserts in the body of the disc milling cutter. Prepared in such a way, spline curves were written in dwg format, which allowed for trimming of the spline curves at the circle with a radius of rcp = 27.90 mm, corresponding to the radius of the crankpin after milling, considering grinding allowance (ø55h6 + 0.80 mm grinding allowance). As a result, it enabled to leave sections of the arcs tangential to the diameter ø55.80 mm and, in such a way, generate the outline of the shape of the crankpin using the REGION command for 21 cross-sections. The outline of the cylindricity of the crankpin was obtained using the strategy of outlines of the roundness, which were generated earlier; this strategy consisted in the collection of 360 points on the circumference of 21 mutually parallel sections cut by planes perpendicular to the axis of the crankpin. To determine the effects of the circular feed rate of the circulating move of the axis of rotation of the internal disc milling cutter on the accuracy of the machining, simulations of the shape of the crankpin were performed for three values of the feedrate: vf = 1200 mm/min; vf = 2100 mm/min and vf = 3000 mm/min. The spline curves with a determined (depending on the duration of the simulation) number of points: 3500, 2100 and 1409 were obtained for each simulation. The calculated cylindricity deviation for the feedrate vf = 1200 mm/min amounted to CYLrck = 0.2272 mm, for the feedrate vf = 2100 mm/min – CYLrck = 0.2406 mm, while for the feedrate vf = 3000 mm/min – CYLrck = 0.2929 mm.

Taking Geely's Acquisition of Volvo as an Example to Analyze the Development of Automotive Industry in China

Taking Geely's Acquisition of Volvo as an Example to Analyze the Development of Automotive Industry in China

The role of public policies in the development of the brazilian automotive industry

Since the 1950s, the Brazilian automotive sector has been supported by different public policies until the present day. Despite the importance of the Brazilian automotive industry in the national and global scene, there is no concrete empirical research that correlates with the different public policies have shaped the progress of this sector in the country. Thus, this paper aims to evaluate how the different public policies contributed to the development of the Brazilian automotive sector. To capture those impacts, it is necessary to develop a methodological approach supported by a systematic review of the literature and research some specific indicators that will allow measuring the results. The results indicate that each of the public policies contributed different mechanisms for the redefinition of local strategies for the development of products, investments in technologies and innovation and the installation of new automakers in Brazil. The main limitations of the research are a large volume of fragmented information and the results of public policies not always easily measurable and available to allow a more concrete analysis of their effectiveness or provide elements that support the reformulation of new public strategies.