Cited by 168Digital Transformation in IndustryEnergy Efficiency and ManagementImpact of AI and Big Data on Business and Society

Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories

Open access
Mohamed, Nader, Al-Jaroodi, Jameela, Lazarova-Molnar, Sanja·2019·IEEE Access

Abstract

Factories use many manufacturing processes that consume a lot of energy and highly contribute to greenhouse gas emissions. The introduction of the concept of Industrial Internet in USA and Industry 4.0 in Europe offers many opportunities to reduce energy consumption in these factories. Introducing and utilizing smart techniques for the applications pertinent to manufacturing processes within the Industry 4.0 domain can offer many benefits for reducing energy consumption in smart factories. This paper investigates and discusses these opportunities and benefits. This paper also discusses the roles of Industry 4.0 technologies in enabling these opportunities. Consequently, introducing these capabilities will help significantly reduce both production costs and greenhouse gas emissions. This paper then provides a benefit analysis that shows the advantages of such leverage. In addition, this paper offers an enabling architecture and its components that include a cyber-physical system manufacturing services' layer, a fog manufacturing services' layer, a cloud manufacturing services' layer, and a blockchain-based service-oriented middleware to support such opportunities.

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Research works printed but not linked: 4

  1. P. Taylor, M. Francoeur, O. L. D'Ortigue, C. Tam, and N. Trudeau, ''World- wide trends in energy use and efficiency,'' in Proc. Paris, Int. Energy Agency (IEA), 2008, pp. 1-36.
  2. Annual Energy Review 2010, EIA, Washington, DC, USA, 2010, p. 38.
  3. T. Gutowski, J. Dahmus, and A. Thiriez, ''Electrical energy requirements for manufacturing processes,'' in Proc. 13th CIRP Int. Conf. Life Cycle Eng., Leuven, Belgium, vol. 31, 2006, pp. 623-638.
  4. S. Kalpakjian, K. S. VijaiSekar, and S. R. Schmid, Manufacturing Engi- neering and Technology. London, U.K.: Pearson, 2014.

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Authors
Mohamed, N., Al-Jaroodi, J., & Lazarova-Molnar, S.
Venue
IEEE Access
Published
2019
Volume
7
Pages
18008-18020
ISSN
2169-3536 (ISSN-L)
OpenAlex
W2913662467
Cited by
168
References
56
Citations by year
2026: 15 · 2025: 16 · 2024: 25 · 2023: 27 · 2022: 22 · 2021: 28 · 2020: 22 · 2019: 13
FWCI
15.69
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy Efficiency and Management
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
Industry 4.0, smart factory, energy efficiency, manufacturing energy consumption, greenhouse gas emissions, Industrial Internet of Things, cyber-physical systems, fog computing, cloud manufacturing, blockchain, service-oriented middleware, production cost reduction

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