scholarly journals Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 274
Author(s):  
Keqin Dou ◽  
Jun Li ◽  
Yong Zhou
Keyword(s):  
Manufacturing Industry ◽  
Large Space ◽  
Index Method ◽  
Development Index ◽  
Industrial Internet ◽  
Fixed Base ◽  
Internet Platform ◽  
The Government ◽  
New Generation ◽  
Generation Information

Accelerating the innovation and development of the Industrial Internet Platform is inevitably necessary for the integration of new-generation information technology and the manufacturing industry. It is also the key point for promoting the construction of manufacturing power and network power. In this paper, based on the comprehensive analysis of the relevant problems of China’s Industrial Internet Platform development monitoring, the development index of the Industrial Internet Platform is designed. Taking a typical domestic Industrial Internet Platform as an example, the development index of the Industrial Internet Platform in 2018, 2019, and 2020 are comprehensively calculated in this paper. The results show that China’s Industrial Internet Platform is rapidly growing in many aspects, such as industrial equipment cloud and industrial APP. There is a large space for improving the industrial knowledge accumulation reuse and the application promotion of small/medium-sized enterprises. The results in this paper can provide scientific suggestions and practical references for the government, enterprises, scientific research institutions, which is of great significance in promoting the healthiness and sustainability of the Industrial Internet Platform.

A new model of industrial internet of things with security mechanism—An application in complex workshop of diesel engine

2019 ◽  
Vol 234 (2) ◽  
pp. 564-574
Author(s):  
Jiangshan Liu ◽  
Ming Chen ◽  
Liang Wang
Keyword(s):  
Information Technology ◽  
Manufacturing Industry ◽  
Intelligent Manufacturing ◽  
Security Mechanism ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Industrial Iot ◽  
New Generation ◽  
Generation Information ◽  
Mode Of Production

Intelligent manufacturing is the future development direction of manufacturing industry. There are still some problems lurk in the traditional mode of production, such as “information island” and “network security”, which result in low productivity but high-cost production, and information leakage. With application of the new generation information technology in manufacturing field is expanded, the deep integration of information technology and manufacturing industry promotes the development of production towards intellectualization, networking, and service. Single mode of production is gradually replaced by the way of large-scale collaborative production, so the traditional industrial internet of things (IoT) and manufacturing architecture are not suitable for the needs of actual production any more. For instance, the great challenges of compatibility and coordination of interface protocols, huge data, cost, and safety. In order to solve these problems, a new model of industrial IoT with security mechanism used in intelligent workshop is proposed. Firstly, this article analyzes the current situation of manufacturing industry and information technology, a secure transmission model of industrial IoT was designed based on the new generation information technology. Secondly, combined with the structure of the IoT and the real production demands, a six-tier industrial IoT architecture based on the new generation information technology is proposed. Finally, the three dimensions of the intelligent manufacturing model are expanded according to the architecture of the IoT. Not only a six-tier intelligent manufacturing system framework based on the new generation of information technology is obtained, but also the network security mechanism is introduced. On one hand, it realizes the coordinated operation of industrial chain, supply chain, and value chain of production process, on the other hand, it also improves the networking, intellectualization, and service level of industrial production. What is more the system can also provide the reference model for the various application of IoT.

INTELLIGENT OPTIMIZATION SYSTEM FORMULATED ON INDUSTRIAL INTERNET PLATFORM

2021 ◽  
Vol 71 (10) ◽  
pp. 75-79
Author(s):  
Sabuhi Farasat Rahimli ◽  
Keyword(s):  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Data Gathering ◽  
Intelligent Optimization ◽  
Industrial Economy ◽  
Optimization System ◽  
Industrial Enterprises ◽  
Huge Data ◽  
Industrial Internet ◽  
Internet Platform

The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism

Industry 4.0 Technologies Used in Project Management

2019 ◽  
pp. 40-63
Author(s):  
Dilek Özdemir Güngör
Keyword(s):  
Project Management ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Project Managers ◽  
Revolutionary Change ◽  
Smart Systems ◽  
Industrial Internet ◽  
Project Organizations ◽  
Networking Technologies ◽  
New Generation

Advancements in technology, especially ICTs, has caused a revolutionary change in every aspect of life. The reflection of these advancements on manufacturing industry is named “The Industrial Internet,” or “Industry 4.0.” New generation factories are to be equipped with cyber-physical systems. Teams integrating physical industrial components, and advanced modern sensing and networking technologies to form new smart systems. These systems will have more capabilities than the systems which are already in use. These winds of change will also affect projects and project management. Clearly, success in agile project management will become more crucial. At this point, technologies enabling Industry 4.0 will help project managers. Project organizations have the flexibility to get adapted to new situations fast. In this chapter, benefits of the technologies enabling Industry 4.0 in project management are introduced.

scholarly journals Exploring the Development of Research, Technology and Business of Machine Tool Domain in New-Generation Information Technology Environment Based on Machine Learning

2019 ◽  
Vol 11 (12) ◽  
pp. 3316 ◽  
Author(s):  
Jihong Chen ◽  
Kai Zhang ◽  
Yuan Zhou ◽  
Yufei Liu ◽  
Lingfeng Li ◽  
...  
Keyword(s):  
Information Technology ◽  
Sustainable Development ◽  
Machine Tool ◽  
Machine Tools ◽  
Manufacturing Industry ◽  
Technology Development ◽  
Development Status ◽  
Research Technology ◽  
New Generation ◽  
Generation Information

The combination of new-generation information technology and manufacturing technology has had in a significant and profound impact on the future development paradigm of manufacturing. Machine tools are the basis of virtually everything that is manufactured in the industry, exploring the development of the machine tool domain is of considerable significance to identify the opportunity to develop manufacturing industry and promote the sustainable development of manufacturing in the current tightening constraints of resource environment. Although much attention has been paid to development studies of a specific domain in recent years, it is challenging to conduct a multidimensional study related to the development status of the machine tool domain using existing methods. To solve this challenge, we propose an integrating framework combining topic models, bibliometric, trend analysis and patent analysis to mine multi-source literature within the machine tool domain, including papers, funds, patents, and news. Specifically, papers and funds provided two different perspectives to explore the development status in the research of machine tools. Furthermore, the technology development of machine tools was investigated through patents analysis. Finally, news related to the machine tool industry in recent years was analyzed to examine business focuses on machine tools. The integration of above various analytical methods and multi-dimensional mining of literature enabled analyzing the development of the machine tool domain systematically from multi-perspectives that include research, technology development and industry to provide inspirations about the implications of sustainable development of this domain. The conclusions obtained in this paper is beneficial to different communities of machine tools, in terms of determining the research directions for researchers, identifying industry opportunities for corporations and developing reasonable industry policy for policy makers.

scholarly journals Cost-Benefit Models on Integrating Information Technology Services in Automotive Production Management

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Bin Hu ◽  
Jianlin Lv ◽  
Kun Yang
Keyword(s):  
Information Technology ◽  
Manufacturing Industry ◽  
Production Management ◽  
Production Efficiency ◽  
Value Added ◽  
Technology Application ◽  
Automobile Manufacturing ◽  
New Generation ◽  
The Impact ◽  
Generation Information

The integration of the new-generation information technology and the automobile manufacturing industry has significantly improved the production efficiency of the automobile manufacturing industry, but it will also increase the technology application cost of the automobile manufacturing industry. The boundary value of the income change of the automobile manufacturing industry can be obtained by examining the influence of new-generation information technology on the price of parts, the price of automobiles, and the quantity of production in the upstream and downstream of the automobile manufacturing industry chain. The study found that the benefit of the automobile manufacturing industry that meets the conditions of technology application costs has increased. The value added to the downstream enterprises in the industrial chain is greater than the value added to the upstream companies. The lower the cost of technology application, the greater the impact on the number of automobile production. In the end, an example is used to verify the reliability of the research results.

Capaian pembangunan manusia: analisis komparatif Provinsi Banten, Jawa Barat dan DKI Jakarta

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Adriwati Adriwati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Human Population ◽  
Provincial Government ◽  
Healthy Life ◽  
Development Index ◽  
Long Life ◽  
The Difference ◽  
The Government ◽  
Development Paradigm

Human development is a development paradigm that puts human (population) as the focus and final target of all development activities, namely the achievement of control over resources (income to achieve decent living), improvement of health status (long life and healthy life) and improve education. To see the success rate of human development, UNDP publishes an indicator of Human Development Index (HDI). This study discusses the achievements of human development that have been pursued by the government. The problem analyzed in this research is the difference of human development achievement in some provincial government in Indonesia. This paper aims to compare the achievements of human development in some provincial governments seen from the achievement of human development index of each province. Research location in Banten Province, West Java and DKI Jakarta.Keywords:Human Development Index, Human Development Achievement

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

Industrial internet of things for smart manufacturing applications using hierarchical trustful resource assignment

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Duan Pingli ◽  
Bala Anand Muthu ◽  
Seifedine Nimer Kadry
Keyword(s):  
Internet Of Things ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
The Internet ◽  
Resource Assignment ◽  
Industrial Internet Of Things ◽  
Assignment Method ◽  
Industrial Internet

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the industrial internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.

scholarly journals Monopoly behavior of China’s manufacturing enterprises

2019 ◽  
Vol 2 (1) ◽  
pp. 157-179
Author(s):  
Guidong Wang
Keyword(s):  
Design Methodology ◽  
Manufacturing Industry ◽  
Rent Seeking ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Slow Decline ◽  
State Capital ◽  
The Government ◽  
Do So ◽  
Initial Jump

Purpose With the increase of state capital, corporate total factor productivity (TFP) has a tendency to jump up at first and then slowly decrease. Generally, no significant “productivity paradox” can be observed in China’s manufacturing industry. With the increase of export density, corporate TFP also shows a trend of initial jump growth and subsequent slow decline. This paper aims to discuss these issues. Design/methodology/approach Using the 1996–2013 China Industrial Enterprise Database, this paper studies the monopolistic behavior of Chinese manufacturing enterprises through the measurement of TFP and corporate monopoly power. Findings Results show that China’s manufacturing monopoly enterprises are generally innovation-oriented rather than rent-seeking. However, there are certain differences between diversified types of monopoly enterprises: the ones with state capital are more inclined to innovate than those without, whereas the ones with export delivery value are more inclined to seek rent than those without. Originality/value Therefore, the government should implement differentiated policies for diversified types of monopoly enterprises, and do so in a targeted manner fully reflecting the containment of rent-seeking and the encouragement of innovation.

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