scholarly journals Significant directions of digitalization of the Khabarovsk Territory economy in the implementation of the national program “Digital Economy”

2021 ◽  
Vol 128 ◽  
pp. 01016
Author(s):  
Luyciena Piunko ◽  
Elena Tolkacheva

The research is devoted to the modern development of digital transformation in the Russian economy, including in the Khabarovsk Territory; the difficulties of implementing the directions of the “Digital Economy”. In this study, an attempt is made to compare the strategic goals of the development of the “Digital Economy”, modern processes of digital transformation and such an important component of it as "Integration 4.0" related to the “industrial Internet”, digital production, intelligent components, including the collection of large amounts of data, cyberphysical systems, remote monitoring and maintenance. “Industry 4.0” accelerates production processes, increases its efficiency and the quality of manufactured goods, reduces the cost of delivery, tracks production chains, etc. Currently, the industry of Western countries uses Industry 4.0 standards at the production management level. In developed countries, such as Germany, South Korea, etc., they realize the importance of automation and computerization, which became the main tool of the third industrial revolution, and its tools for the transition to “Industry 4.0”. International standards are developed for industries that use computer algorithms to monitor and control physical things, such as equipment, robots and vehicles. Standards that work on the basis of the Industrial Internet of Things (IIoT) and cyber—physical systems — intelligent autonomous systems that define all components of the supply chain, transforming production processes into “smart” - from smart manufacturing and factories to smart warehouses and logistics. And, the same systems are associated with the previous stage of industrial production, such as enterprise resource planning (ERP). All this ensures a high level of transparency and control over the activities of the organization. At the present stage, there are excellent opportunities for the development of Industry 4.0 in Russia, but there are also difficulties, overcoming which are significant directions of the digitalization processes of the modern economy. The authors devoted their research to the analysis of such difficulties.

Machines ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 21 ◽  
Author(s):  
Abe Zeid ◽  
Sarvesh Sundaram ◽  
Mohsen Moghaddam ◽  
Sagar Kamarthi ◽  
Tucker Marion

Recent advances in manufacturing technology, such as cyber–physical systems, industrial Internet, AI (Artificial Intelligence), and machine learning have driven the evolution of manufacturing architectures into integrated networks of automation devices, services, and enterprises. One of the resulting challenges of this evolution is the increased need for interoperability at different levels of the manufacturing ecosystem. The scope ranges from shop–floor software, devices, and control systems to Internet-based cloud-platforms, providing various services on-demand. Successful implementation of interoperability in smart manufacturing would, thus, result in effective communication and error-prone data-exchange between machines, sensors, actuators, users, systems, and platforms. A significant challenge to this is the architecture and the platforms that are used by machines and software packages. A better understanding of the subject can be achieved by studying industry-specific communication protocols and their respective logical semantics. A review of research conducted in this area is provided in this article to gain perspective on the various dimensions and types of interoperability. This article provides a multi-faceted approach to the research area of interoperability by reviewing key concepts and existing research efforts in the domain, as well as by discussing challenges and solutions.


2021 ◽  
Author(s):  
Muzaffar Rao ◽  
Thomas Newe

The current manufacturing transformation is represented by using different terms like; Industry 4.0, smart manufacturing, Industrial Internet of Things (IIoTs), and the Model-Based enterprise. This transformation involves integrated and collaborative manufacturing systems. These manufacturing systems should meet the demands changing in real-time in the smart factory environment. Here, this manufacturing transformation is represented by the term ‘Smart Manufacturing’. Smart manufacturing can optimize the manufacturing process using different technologies like IoT, Analytics, Manufacturing Intelligence, Cloud, Supplier Platforms, and Manufacturing Execution System (MES). In the cell-based manufacturing environment of the smart industry, the best way to transfer the goods between cells is through automation (mobile robots). That is why automation is the core of the smart industry i.e. industry 4.0. In a smart industrial environment, mobile-robots can safely operate with repeatability; also can take decisions based on detailed production sequences defined by Manufacturing Execution System (MES). This work focuses on the development of a middleware application using LabVIEW for mobile-robots, in a cell-based manufacturing environment. This application works as middleware to connect mobile robots with the MES system.


2020 ◽  
Vol 47 (11) ◽  
pp. 947-964 ◽  
Author(s):  
Carina L. Gargalo ◽  
Isuru Udugama ◽  
Katrin Pontius ◽  
Pau C. Lopez ◽  
Rasmus F. Nielsen ◽  
...  

AbstractThe biomanufacturing industry has now the opportunity to upgrade its production processes to be in harmony with the latest industrial revolution. Technology creates capabilities that enable smart manufacturing while still complying with unfolding regulations. However, many biomanufacturing companies, especially in the biopharma sector, still have a long way to go to fully benefit from smart manufacturing as they first need to transition their current operations to an information-driven future. One of the most significant obstacles towards the implementation of smart biomanufacturing is the collection of large sets of relevant data. Therefore, in this work, we both summarize the advances that have been made to date with regards to the monitoring and control of bioprocesses, and highlight some of the key technologies that have the potential to contribute to gathering big data. Empowering the current biomanufacturing industry to transition to Industry 4.0 operations allows for improved productivity through information-driven automation, not only by developing infrastructure, but also by introducing more advanced monitoring and control strategies.


2020 ◽  
Vol 10 (24) ◽  
pp. 8998
Author(s):  
Nilubon Chonsawat ◽  
Apichat Sopadang

Industry 4.0 revolution offers smart manufacturing; it systematically incorporates production technology and advanced operation management. Adopting these high-state strategies can increase production efficiency, reduce energy consumption, and decrease manufacturer costs. Simultaneously, small and medium-sized enterprises (SMEs) were the backbone of economic growth and development. They still lack both the knowledge and decision-making to verify this high-stage technology’s performance and implementation. Therefore, the research aims to define the readiness indicators to assess and support SMEs toward Industry 4.0. The research begins with found aspects that influence the SME 4.0 readiness by using Bibliometric techniques. The result shows the aspects which were the most occurrences such as the Industrial Internet, Cloud Manufacturing, Collaborative Robot, Business Model, and Digital Transformation. They were then grouped into five dimensions by using the visualization of similarities (VOS) techniques: (1) Organizational Resilience, (2) Infrastructure System, (3) Manufacturing System, (4) Data Transformation, and (5) Digital Technology. Cronbach’s alpha then validated the composite dimensions at a 0.926 level of reliability and a significant positive correlation. After that, the indicators were defined from the dimension and aspects approach. Finally, the indicators were pilot tested by small enterprises. It appeared that 23 indicators could support SMEs 4.0 readiness indication and decision-making in the context of Industry 4.0.


Author(s):  
A. Samoilovych ◽  
О. Garafonova ◽  
O. Popelo ◽  
V. Marhasova ◽  
Yu. Lazarenko

Аbstract. The current state of the implementation of digital technologies in Ukraine and the world in the context of the information economy development is studied. The key differences are identified, the need for systematic action at both regional and national levels for the effective implementation of digitalization is substantiated. Data on the level of the digital economy development in Ukraine in general, and in the regions in particular, as well as examples of successful implementation of digitalization in some countries, are presented. It is investigated that Ukraine is one of the first places in Europe in terms of population with the Internet access. It is established that the process of digitalization of Ukraine’s economy is qualitatively different from that in developed countries. In the context of rapid development of information economy in order to bridge the existing gap with developed countries in the digitalization process, Ukraine needs to implement a number of measures, including: creating a regulatory framework for digital economy, introducing and promoting digital platforms and services for business and population, establishing education systems in order to effectively train specialists in the digital age, creating an effective digital infrastructure, promoting the implementation of Industry 4.0 technologies in industry, etc.  The implementation of the proposed actions will bring Ukraine closer to the digitalization level of developed countries and increase social and economic development of the state. The article outlines the components of digital transformation of the regions of Ukraine, among which the emphasis is on creating an effective digital infrastructure; the introduction of Industry 4.0 technologies in industry; e-government and training of the workforce according to the requirements of digital economy. It is noted that the digitalization process should be systemic in nature at both national and regional levels. Keywords: digitalization, digital transformation, region, regional economy, information economy. JEL Classіfіcatіon O50; R11 Formulas: 0; fig.: 1; tabl.: 1; bibl.: 25.


Author(s):  
N. Trushkina ◽  
◽  
H. Dzwigol ◽  
O. Serhieieva ◽  
Yu. Shkrygun ◽  
...  

The transition to a digital economy is becoming a key driver of GDP growth. This is due not only to the effect obtained from the automation of existing processes, but also from the introduction of new, breakthrough business models and technologies, including digital platforms, digital ecosystems, in-depth analytics of big data, Industry 4.0, Logistics 4.0. At the same time, digital transformation is seen as a radical change in the complex of business processes, from product development to customer service, as well as the introduction of modern digital technologies in the organization of business processes in enterprises. The purpose of the article is to analysis the features and trends of organizing logistics activities in the context of digital transformation of business processes; research of the main prerequisites for the formation of the Logistics 4.0 concept; determination of priority directions for its further development in the context of Industry 4.0. Based on the generalization of scientific approaches, the definition of the concept of "Logistics 4.0" has been clarified, which means the modern paradigm of managing logistic (material, financial, information, transport) flows and organizing a complex of logistics activities (purchase and delivery of material resources, warehousing, production, stock formation, recycling of industrial waste, customer service, transportation and sale of finished products) using breakthrough digital technologies and information systems. The priority areas of organizing the logistics activities of enterprises using digital technologies include the following: multichannel logistics; logistics marketplaces; rethinking the use of packaging; mass personalization; Silver Economy (new services for older clients and new opportunities for older workers); sustainable logistics; sharing economy; multi-supply; customer experience; smart containerization; big data analytics; augmented and virtual reality; cloud service applications and APIs; Internet of Things; robotics and automation; new generation wireless communication; blockchain; Artificial Intelligence; unmanned aerial vehicles or "drones"; 3D printing; unmanned vehicles; quantum computing; supergrid logistics; space logistics; the use of digital platforms that unite customers and transport and logistics companies (the parties can enter into digital contracts, exchange transport booking requests and electronic documents, control the delivery of goods in real time). All this can help to reduce costs by optimizing procurement; decrease in personnel costs and decrease in labour costs as a result of automation; reduction of errors in logistics; optimization of the supply process; efficient warehouse management; forecasting shipments; creation of optimal routes; operational planning of loads and control of delivery times; ensuring product delivery on time, improving customer loyalty; optimal interaction with customers on the "last mile".


Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Jason R.C. Nurse ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
...  

The world is currently experiencing the fourth industrial revolution driven by the newest wave of digitisation in the manufacturing sector. The term Industry 4.0 (I4.0) represents at the same time: a paradigm shift in industrial production, a generic designation for sets of strategic initiatives to boost national industries, a technical term to relate to new emerging business assets, processes and services, and a brand to mark a very particular historical and social period. I4.0 is also referred to as Industrie 4.0 the New Industrial France, the Industrial Internet, the Fourth Industrial Revolution and the digital economy. These terms are used interchangeably in this text. The aim of this article is to discuss major developments in this space in relation to the integration of new developments of IoT and cyber physical systems in the digital economy, to better understand cyber risks and economic value and risk impact. The objective of the paper is to map the current evolution and its associated cyber risks for the digital economy sector and to discuss the future developments in the Industrial Internet of Things and Industry 4.0.


Author(s):  
Marcelo Teixeira de Azevedo ◽  
Alaide Barbosa Martins ◽  
Sergio Takeo Kofuji

Nowadays, there is a digital transformation in industry, which is being referred to as a new revolution, known as the fourth industrial revolution. Today, we are in the fourth industrial revolution, which strongly supports itself at enabling technologies, such as: Internet of Things (IoT), big data, cyber-physical systems (CPS) and cloud computing. These technologies are working cooperatively to promote a digital transformation in the forms of: Industry 4.0, Industrial Internet Consortium and Advanced Manufacturing. To meet these needs and as a proof of concept, a platform for digital transformation for a water issue is proposed with the objective of achieving an efficient management of resources linked to rational use of water. For the platform definition, a survey was performed of the process of a water treatment plant from the third industrial revolution and improved the process by applying the concepts of digital transformation to improve the new platform.


2020 ◽  
Vol 144 ◽  
pp. 51-57
Author(s):  
Vyacheslav I. Kukshev ◽  

The article examines the role and importance of international information standards in the digital economy. The importance of standards in building a single digital space as a key element of the digital economy is shown. Particular attention is paid to international standards of integration on the level of ontology, semantics and languages of interaction of information systems. The structure of the standards of the European initiative in the digital economy — “Industry 4.0”, as well as the development of the digital economy in the directions: Digital Corporation and Digital Industry. The possible directions of the development and application of information standards within the digital economy are defined.


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