Big Data as the basis for the innovative development strategy of the Industry 4.0

Latinovic, T; Preradović, D M; Barz, C; Vadean, Aurélian; Todić, M

doi:10.1088/1757-899x/477/1/012045

Cited by 11 publications

(6 citation statements)

References 4 publications

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“…Regional examples centered on the financial centers (Shenzhen, Shanghai, etc.) show that as a new economic growth approach, finance can help the renewal of urban functions and protect the air environment [32,33].…”

Section: Impact Of Finance On Air Environmentmentioning

confidence: 99%

Measurement and Prediction: Coupling Coordination of Finance and Air Environment

Geng

Tan

2020

Discrete Dynamics in Nature and Society

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This study finds that the comprehensive development degree (CDD) of the finance subsystem is less fluctuated than that of the air environment subsystem, and both subsystems share similarities in spatial distributions. The coupling coordination degrees (CCD) keep fluctuating with varied development directions and extents in different regions; besides, the eastern regions are higher than the western ones for the coupling coordination degrees. In the next years, the coordination degrees of the regions will have different tendencies: despite of the former fluctuation trends, regions in the coordination range will have upward trends, while those in the transition range will be likely to decline. The results are useful in proposing corresponding measures to promote the coordination development between finance and air environment.

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Section: Impact Of Finance On Air Environmentmentioning

confidence: 99%

Measurement and Prediction: Coupling Coordination of Finance and Air Environment

Geng

Tan

2020

Discrete Dynamics in Nature and Society

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“…According to basics tasks of Industry 4.0 it is needed to provide important quality parameters of part during its whole Life Cycle [36], [37]. Achieving the regulated parameters of mechanical engineering parts according to technical requirements is provided by computer modelling methods for integrated preproduction engineering planning [28], [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Development of the structure and methodological support of the system for analysis of the details shaping using the technological inheritability of their quality parameters

Kusyi

Onysko

Кук

et al. 2023

J. Phys.: Conf. Ser.

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Theoretical approaches, computer modell methods and experimental studies analyse the state and behaviour of machine parts to determine the changes in their properties and parameters from a single synergetic position. Development and implementation of integrated information systems for control of technological processes of manufacturing parts and machines assembly is an essential mover of the economic growth of industrialized countries. Complicating the operational conditions for the products increases the requirements for the parameters of their accuracy, surface layer quality, performance characteristics and reliability indicators. A mechanical engineering product is a technical system consisting of many subsystems and using the functionally-oriented design of technological processes planning for parts manufacturing. The structure and methodological providing of the PSPAS-system (Product Shaping / Processing Analysis System) investigates. PSPAS system includes the investigations of the technological inheritability of mechanical engineering product quality parameters combined with the analysis of traditional subsystems (cutting, surface plastic deformation, surface layer modification, assembly). Rheological simulation modelling, holding of experimental studies, the combination of mathematical modelling, theoretical and practical studies of technological processes ensure the implementation of the CAF system using the principle of functionally-oriented design during parts manufacturing and machines assembly.

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“…The associated benefits are illustrated in an industrial context by using the six basic principles of Industry 4.0 (interoperability, real-time operability, virtualization, decentralization, service orientation, modularity) [4,5]. Traditionally, production data from almost all industrial sectors has been stored in simple databases or data warehouse systems [6]. However, with the emerging technologies of Industry 4.0 (sensors, actuators, industrial computers, robots, wireless devices, cyber physical systems, programmable logic controllers), the amount of data generated is becoming larger and more complex [5].…”

Section: Related Workmentioning

confidence: 99%

Practical Classification and Evaluation of Optically Recorded Food Data by Using Various Big-Data Analysis Technologies

et al. 2020

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An increasing shortening of product life cycles, as well as the trend towards highly individualized food products, force manufacturers to digitize their own production chains. Especially the collection, monitoring, and evaluation of food data will have a major impact in the future on how the manufacturers will satisfy constantly growing customer demands. For this purpose, an automated system for collecting and analyzing food data was set up to promote advanced production technologies in the food industry. Based on the technique of laser triangulation, various types of food were measured three-dimensionally and examined for their chromatic composition. The raw data can be divided into individual data groups using clustering technologies. Subsequent indexing of the data in a big data architecture set the ground for setting up real-time data visualizations. The cluster-based back-end system for data processing can also be used as an organization-wide communication network for more efficient monitoring of companies’ production data flows. The results not only describe the procedure for digitization of food data, they also provide deep insights into the practical application of big data analytics while helping especially small- and medium-sized enterprises to find a good introduction to this field of research.

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Big Data as the basis for the innovative development strategy of the Industry 4.0

Cited by 11 publications

References 4 publications

Measurement and Prediction: Coupling Coordination of Finance and Air Environment

Measurement and Prediction: Coupling Coordination of Finance and Air Environment

Development of the structure and methodological support of the system for analysis of the details shaping using the technological inheritability of their quality parameters

Practical Classification and Evaluation of Optically Recorded Food Data by Using Various Big-Data Analysis Technologies

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