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Assessing Industry 4.0 Features Using SWOT Analysis

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Intelligent Information and Database Systems (ACIIDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1178))

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Abstract

This paper assesses some features of industry 4.0 by using SWOT analysis that affects the adoption and implementation of industry 4.0. The paper identifies the strengths, weaknesses, opportunities, and threats related to industry 4.0. By the consideration of these four groups of factors, the industrial practitioners can understand how to implement industry 4.0. Moreover, industrial practitioners can use the strengths/opportunities offered by industry 4.0 to take strategic decisions to decrease the effect of the threats/weaknesses that come along with industry 4.0.

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Author information

Authors and Affiliations

  1. Sharda University, Greater Noida, UP, India

    Ahmad Reshad Bakhtari, Mohammad Maqbool Waris & Bisma Mannan

  2. The University of Newcastle, Callaghan, NSW, Australia

    Cesar Sanin

  3. Gdansk University of Technology, Gdansk, Poland

    Edward Szczerbicki

Authors
  1. Ahmad Reshad Bakhtari
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  2. Mohammad Maqbool Waris
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  3. Bisma Mannan
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  4. Cesar Sanin
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  5. Edward Szczerbicki
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Corresponding author

Correspondence to Mohammad Maqbool Waris .

Editor information

Editors and Affiliations

  1. Kielce University of Technology, Kielce, Poland

    Paweł Sitek

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Pietranik

  3. Wrocław University of Science and Technology, Wrocław, Poland

    Marek Krótkiewicz

  4. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Chutimet Srinilta

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Bakhtari, A.R., Waris, M.M., Mannan, B., Sanin, C., Szczerbicki, E. (2020). Assessing Industry 4.0 Features Using SWOT Analysis. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_19

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  • DOI: https://doi.org/10.1007/978-981-15-3380-8_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3379-2

  • Online ISBN: 978-981-15-3380-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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