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IFIP Advances in Information and Communication TechnologyVolume 592 IFIP, 2020, Pages 100-107IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2020; Novi Sad; Serbia; 30 August 2020 through 3 September 2020; Code 244299

The Big Potential of Big Data in Manufacturing: Evidence from Emerging Economies(Conference Paper)

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  • Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

Abstract

In the last years, the manufacturing sector of developed economies is going through extensive changes to adopt Industry 4.0 principles. Prior studies investigated key enabling technologies for Industry 4.0 and their applications focusing on developed economies. However, there is a lack of studies covering emerging economies (e.g., Serbia). This research provides an overview of the use of technologies for automatic storing of operational data and the exchange of operational data between different entities from the manufacturing sector. For this purpose, the Serbian dataset of 240 companies from the European Manufacturing Survey gathered in 2018 is used. The empirical results indicate that 43% of manufacturing companies are utilizing the systems that automatically record operational data, 88.3% of manufacturing companies are creating an immense amount of data through ERP systems, and 78.6% of companies are using a digital exchange with suppliers or customers. The results reveal the big potential for the Big Data in the manufacturing sector in emerging economies. © 2020, IFIP International Federation for Information Processing.

Author keywords

Big DataIndustry 4.0Manufacturing

Indexed keywords

Engineering controlled terms:Big dataElectronic document exchangeIndustrial managementIndustrial researchIndustry 4.0
Engineering uncontrolled termsDeveloped economiesEmerging economiesEnabling technologiesERP systemEuropean manufacturing surveysManufacturing companiesManufacturing sectorOperational data
Engineering main heading:Industrial economics
  • ISSN: 18684238
  • ISBN: 978-303057996-8
  • Source Type: Book Series
  • Original language: English
  • DOI: 10.1007/978-3-030-57997-5_12
  • Document Type: Conference Paper
  • Volume Editors: Lalic B.,Marjanovic U.,Majstorovic V.,von Cieminski G.,Romero D.
  • Publisher: Springer

  Pavlović, M.; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;
© Copyright 2020 Elsevier B.V., All rights reserved.

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