Research on Adaption Strategy of Higher Vocational Colleges Based on Industry 4.0

The new revolution of science and technology impacts and overturns the original human production and lifestyle widely and profoundly with the Industry 4.0 as the engine, so that the social production and the people's lifestyle, behavioral habit and thinking mode can be changed and remodeled revolution. In the national educational system, the higher vocational colleges are firstly impacted by the Industry 4.0 most widely and profoundly, and this is due to the basic function and mission of the higher vocational education in China. Under the new situation, the higher vocational colleges in China should undertake the important responsibility to build, develop and cultivate professional qualified inter-disciplinary talents, change the original ideas, integrate the Industry 4.0 technology basic ideas, adapt to the new ecological, dock with the artificial intelligence and incubate new achievement, expand new routes in order to promote the healthy development of own adaptability.

Digital Evaluation of Sitting Posture Comfort in Human-vehicle System under Industry 4.0 Framework

Most of the previous studies on the vibration ride comfort of the human-vehicle system were focused only on one or two aspects of the investigation. A hybrid approach which integrates all kinds of investigation methods in real environment and virtual environment is described. The real experimental environment includes the WBV（whole body vibration） test, questionnaires for human subjective sensation and motion capture. The virtual experimental environment includes the theoretical calculation on simplified 5-DOF human body vibration model, the vibration simulation and analysis within ADAMS/VibrationTM module, and the digital human biomechanics and occupational health analysis in Jack software. While the real experimental environment provides realistic and accurate test results, it also serves as core and validation for the virtual experimental environment. The virtual experimental environment takes full advantages of current available vibration simulation and digital human modelling software, and makes it possible to evaluate the sitting posture comfort in a human-vehicle system with various human anthropometric parameters. How this digital evaluation system for car seat comfort design is fitted in the Industry 4.0 framework is also proposed.

Intelligent Manufacturing in the Context of Industry 4.0： A Review

Our next generation of industry-lndustry 4.0-holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things （IoT）- enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the loT, cyber-physical systems （CPSs）, cloud computing, big data analytics （BDA）, and information and communications technology （ICT） that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.

Challenges and Requirements for the Application of Industry 4.0:A Special Insight with the Usage of Cyber-Physical System

Considered as a top priority of industrial devel- opment, Industry 4.0 （or Industrie 4.0 as the German ver- sion） has being highlighted as the pursuit of both academy and practice in companies. In this paper, based on the review of state of art and also the state of practice in dif- ferent countries, shortcomings have been revealed as the lacking of applicable framework for the implementation of Industrie 4.0. Therefore, in order to shed some light on the knowledge of the details, a reference architecture is developed, where four perspectives namely manufacturing process, devices, software and engineering have been highlighted. Moreover, with a view on the importance of Cyber-Physical systems, the structure of Cyber-Physical System are established for the in-depth analysis. Further cases with the usage of Cyber-Physical System are also arranged, which attempts to provide some implications to match the theoretical findings together with the experience of companies. In general, results of this paper could be useful for the extending on the theoretical understanding of Industrie 4.0. Additionally, applied framework and proto- types based on the usage of Cyber-Physical Systems are also potential to help companies to design the layout of sensor nets, to achieve coordination and controlling of smart machines, to realize synchronous production with systematic structure, and to extend the usage of information and communication technologies to the maintenance scheduling.

Macro Perspective of Industry 4.0： Factors Affecting Value Creation Modules

Business needs to manage such a variety of things inside the firm or outside the business consistently. This factor affects the business in various ways. The factor which affects the business is clients, suppliers, distributors and so on. These all components are isolated from two sections full-scale environment and miniaturized scale environment. Macro perspective environment components are those external variables which are past the association＇s control. The problem of this study is guaranteeing a supportable evolvement of human presence in its social, ecological, and monetary measurement. So, we have to adapt test in order to outfit toward manageability. As for the method used in this study, it depends on using empirical framework to meet the interest of capital and buyer, in addition to supporting human presence in its social, ecological, monetary measurement. The paper is organised as following sections： first section is the introduction, second section is the literature review, the third section includes the research method, fourth one discusses the analysis, while the conclusion is in the fifth section.

Mutated Leader Sine-Cosine Algorithm for Secure Smart IoT-Blockchain of Industry 4.0

In modern scenarios,Industry 4.0 entails invention with various advanced technology,and blockchain is one among them.Blockchains are incorporated to enhance privacy,data transparency aswell as security for both large and small scale enterprises.Industry 4.0 is considered as a new synthesis fabrication technique that permits the manufacturers to attain their target effectively.However,because numerous devices and machines are involved,data security and privacy are always concerns.To achieve intelligence in Industry 4.0,blockchain technologies can overcome potential cybersecurity constraints.Nowadays,the blockchain and internet of things(IoT)are gaining more attention because of their favorable outcome in several applications.Though they generate massive data that need to be effectively optimized and in this research work,deep learning-based techniques are employed for this.This paper proposes a novel mutated leader sine cosine algorithm-based deep convolutional neural network(MLSC-DCNN)in order to attain a secure and optimized IoT blockchain for Industry 4.0.Here,an MLSC is hybridized using a mutated leader and sine cosine algorithm to enhance the weight function and minimize the loss factor of DCNN.Finally,the experimentation is carried out for various simulation measures.The comparative analysis is made for Best Tip Selection Method(BTSM),Smart Block-Software Defined Networking(SDN),and the proposed approach.The evaluation results show that the proposed approach attains better performances than BTSM and SDN.

Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP Back-End Integration: Ready-Made Garments as a Case Study

Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.

Impact of Safety-Maintenance Practices on the Overall Performance of an Industry

The study aims to evaluate how safety-maintenance practices affect the mechanical engineering industry’s overall performance in Ghana. The study used a descriptive survey design technique to ascertain the type of maintenance engineering that was practiced in Ghanaian mechanical engineering workshops at the time of the study. In the mechanical engineering workshops, respondents provided both qualitative and quantitative data using a variety of data collecting instruments, with the quantitative approach being more common. The study employed Kumasi, Tamale, and Accra’s mechanical engineering workshops as a case study. The number of mechanical engineering workshop enterprises that made up the sample size for the questionnaire administration was sixty (60), chosen at random from the AGI membership registry. Primary data was gathered using interview guides and questionnaires. To analyse the data, descriptive statistics were employed. According to the study’s findings, mechanical engineering companies combined different maintenance techniques in order to best fit their organisational culture and equipment. Preventive shut-down, with a mean score of 4.78 and RII = 0.98, placing first (1st) in the Likert rating order, is the most frequently used maintenance system by respondents. The maintenance procedures employed by mechanical engineering organisations were influenced not only by their equipment and organisational culture but also by other factors such as cost, personnel expertise and external partnerships.

Virtual manufacturing in Industry 4.0:A review

Virtual manufacturing is one of the key components of Industry 4.0,the fourth industrial revolution,in improving manufacturing processes.Virtual manufacturing enables manufacturers to optimize their production processes using real-time data from sensors and other connected devices in Industry 4.0.Web-based virtual manufacturing platforms are a critical component of Industry 4.0,enabling manufacturers to design,test,and optimize their processes collaboratively and efficiently.In Industry 4.0,radio frequency identification(RFID)technology is used to provide real-time visibility and control of the supply chain as well as to enable the automation of various manufacturing processes.Big data analytics can be used in conjunction with virtual manufacturing to provide valuable insights and optimize production processes in Industry 4.0.Artificial intelligence(AI)and virtual manufacturing have the potential to enhance the effectiveness,consistency,and adaptability of manufacturing processes,resulting in faster production cycles,better-quality products,and lower prices.Recent developments in the application of virtual manufacturing systems to digital manufacturing platforms from different perspectives,such as the Internet of things,big data analytics,additive manufacturing,autonomous robots,cybersecurity,and RFID technology in Industry 4.0,are discussed in this study to analyze and develop the part manufacturing process in Industry 4.0.The limitations and advantages of virtual manufacturing systems in Industry 4.0 are discussed,and future research projects are also proposed.Thus,productivity in the part manufacturing process can be enhanced by reviewing and analyzing the applications of virtual manufacturing in Industry 4.0.

Cluster Based Strategy to Improve Competitiveness of Rare Earth Industry in China——Taking Emerging Rare Earth Industry Cluster in Baotou As An Example

China′s rare earth industry has shown its strong competence, but notably this competence is mostly based on the comparative advantages in natural resources and production costs that will not provide a long-term momentum for the growth of the industrial competitiveness. It has become an urgent task now for China′s rare earth industry to improve its competitiveness through adjusting the product structure and enhancing the technological application, to gain much healthier and more sustainable growth in the future. This paper aims to present a new development strategy based on the industry cluster theory to improve the competitiveness of China′s rare earth industry with a case study on the emerging rare earth industry cluster in Baotou. The paper first reviews the cluster theory and explains why it matters to industrial competitiveness briefly, and then proposes a general framework for implementing cluster policies and strategies in practice. Following that, a case to study the emerging rare earth industry cluster in Baotou was presented and a cluster initiative based on the general framework was developed. The objectives of the cluster initiative and the role of government on initiative organizing and cluster upgrading were discussed in detail. In the end, general implications drawn from the case of Baotou were summarized, which try to provide some insights for applying cluster-based strategies to the rare earth industry of China.

Strategy of Development of Rare Earth Industry in China

This work introduced the current situation of the development of domestic and foreign rare earths (RE) industry, discussed the strategic position of RE industry in China, analyzed the problems existing in the course of RE industry development, made strategic thought about the transference from resource advantage to economic advantage, and put forward strategic suggestions about the development of RE industry in our country.

Development Strategy of Sugarcane Industry in Guangdong Province

Guangdong Province is one of the main producing areas of sugarcane in China, and one of China's three regions with dominant advantage in sugarcane, having good basis and conditions for developing sugarcane industry. In this research, using the SWOT-AHP method, we set 20 assessment indicators (such as the regions with dominant advantage in sugarcane, huge demand for domestic sugar, increased production costs and backward system of sugarcane), to analyze the development strategy of sugarcane industry in Guangdong Province, from strengths, weaknesses, opportunities and challenges of sugarcane industrial development in Guangdong Province. The results show that in order to promote the development of sugarcane industry in Guangdong Province, it is necessary to adopt the SO development strategy (relying on its own strengths and using favorable external environment), to achieve the rapid development.

From the Current Industrial Stage to the Industry 4.0： Transformation Processes and Case Analysis of the FESTO Company

Despite of the acceleration of investments and the expansion of countries towards the Industry 4.0, companies have difficulties in planning the transition processes and implementation of the scenarios of Industry 4.0. To benefit from the Industry Approach 4.0, it is necessary to take technological and organizational transition processes into account, since the phenomenon involves interoperability between humans; between humans and machines; and between machines and production. This paper proposes to examine the transformation processes of the current industrial model to the Industry 4.0 model of FESTO AG, in addition to the framework proposition for the analysis of transformation processes for Industry 4.0. Through the face-to-face interviews and the institutional materials of FESTO, it was observed that the company inserted in its strategy of products and innovation the concept of Industry 4.0. To do so, FESTO planned and built a new production plant based on connectivity, sustainability, and collaborative environment, especially between man and machine. To support this orientation, FESTO has strengthened its technological base, culture, training of its productive, commercial, and management teams.

The Interactive Development of China’s Retail Industry “Going global” Strategy in the Context of the Belt & Road Initiative

Helping China’s retail industry to "go global" and get actively involved in global value chain competition is an effective way to improve the international competitiveness of China’s retail industry and an important measure to enhance the Chinese manufacturing industry’s position in international markets. The Belt and Road Initiative is China’s national strategy providing guidance for strategic decision-making for China’s retail industry in terms of overseas target market selection, market access selection and overseas investment risk management. As such, efforts should be made to maximize the interactive development of China’s retail industry through the strategies outlined in the Belt and Road Initiative.

DEVELOPMENT STRATEGY OF CHINA'S BASIC INDUSTRY

The Ninth Five-Year Plan for National Economic and Social Development and the Long-Term Plan for the Year 2010 adopted at the 4th Session of the Eighth National People’s Congress point out that the construction of infrastructure and basic industry will be strengthened to make them more appropriate to national economic development.

Integration and Development of China's Characteristic Agricultural Industry against the Backdrop of Rural Revitalization Strategy

At present,there are some problems in rural areas,such as the gradual decline of social trust,the dislocation of social norms and the disembeding of social network.As a result,the scale effect of characteristic agricultural industry is not obvious,the coordination of chain and network is low,and the willingness of farmers to participate is not strong.This article thinks that against the backdrop of the strategy of rural revitalization,we can explore the integration and development path of China's characteristic agricultural industry from three dimensions:social capital integration,chain-network synergy integration and brand value-driven integration.This paper analyzes how social capital is embedded in China's characteristic agricultural industry and form its own unique industrial brand,to give full play to the influence of brand value,and then drive the surrounding industries to form a highly integrated and symbiotic chain-network relationship,in order to improve the internal driving force of the characteristic agricultural industry.

From Industry 4.0 to Research 4.0. Development of High Performance Fibers in the Light of Digitization

We associate a variety of innovations with the term ＂Industry 4.0＂. The pioneer of many 4.0 modifications forms the basisfor the trend towards the integrated digitization of many areas of life. The field of research requires from the pilot plants to developnew pioneering fibers high flexibility of its experimental facilities to allow new insights in the laboratory and prototype facilities at areasonable cost. Added to this is the desire to closely track all process data and prepare it in a timely manner. Mobile devices nowallow the researcher to vary parameters close to the process during observation. In the following lecture the question will bediscussed which of the many definitions and varieties of ＂Industry 4.0＂ can be meaningfully transferred to the field of research. Indoing so, we are guided by the findings that have been gained with modularized spinning systems in recent years. The respectivespinning processes require different analysis focuses and different conversion options. The digital world must follow the realdemands of the analog world. In addition to the elegance functions, it must be ensured that the control functions of the process meetthe requirements of machine safety. Digitization allows intelligent analyzes to be developed independently of the various spinningprocesses and can be flexibly adapted to the respective process conditions. The variability of spin systems depends on the intelligentmodularization of individual functions and the physics that require the spinning conditions. Finally, some examples of modularprototype systems are presented, and the limits of variability are discussed.

Development Strategy of China's Civil Aviation Industry

The civil aviation industry, with the key role of promoting hitech development, enhancing national strength, providing work opportunities, and guaranteeing aviation safety, is regarded as one of the leading hi-tech industries in the industrialized world, and civil aircraft are the industry’s basic products, which are value-added, andpromote the production of their

The study of folk culture and creative industry development strategy in Hebei

Hebei province is located in the middle and lower reaches of the Yellow River, it is one of the birthplace of the Chinese nation. Its superior natural conditions gave birth to the rich and colorful folk culture. In the trend of rapid development of modem economy, more and more people are aware of the important position in the cultural construction and huge potential about the folk culture. But as the result of the modem cultural development faster and faster, many folk culture has been neglected, even under the modem culture.

Assessing high-quality development of the Guizhou industry under the big data strategy

Industry is the main industry of the real economy,the main body of scientific and technological innovation,and essential support for improving the quality and efficiency of the regional economy.In recent years,Guizhou’s industry has achieved efficiency,motivation,and change by relying on three strategic actions:big data,significant poverty alleviation,and big ecology,which has promoted the development of Guizhou’s s industrial economy.Guided by the ideas and concepts of high-quality development,this paper intends to construct the evaluation index system and evaluation model for the high-quality development of the industrial economy.This paper evaluates the high-quality development of the industrial economy in Guizhou Province from both vertical and horizontal aspects.Vertically,Guizhou in recent years in terms of big data,big ecology,and poverty alleviation strategy under the development trend is good;horizontally,among the four provinces and cities in southwestern China,Guizhou Province has the lowest average score in the past five years,and it is urgent to improve the talent policy and promote the upgrading of industrial structure.Finally,combined with relevant policies,countermeasures and suggestions are put forward for the shortboard of industrial development in Guizhou to promote the high-quality development of Guizhou’s industry.