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Improving the Level of Sustainable Development in Industry 4.0 Context: A New Approach

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  • Justyna Patals-Maliszewska
  • Hanna Losyk1

Abstract

Purpose: Sustainable manufacturing models are currently being sought, the implications of which in manufacturing companies will be an integral part of their functioning in the Industry 4.0 (I4.0) concept. This paper aims to review the application of Multi-Criteria Decision-Making methods (MCDM) to assess the Sustainable Development (SD) level in industries and build a new approach to maintain and increase SD in a company. Design/Methodology/Approach: The research methodology is based on the detailed literature studies of SD in manufacturing, applying MCDM methods and the use of an Information Technology (IT) in the I4.0 within a manufacturing company. Findings: The overview of the related works allowed for the identification of the novel approach to SD assessment and measurement in manufacturing enterprises, which integrates the SD level assessment and an IT in the I4.0 and allows to determinate the essential SD objectives for evaluation and monitoring within an enterprise using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS) method and Intuitionistic Fuzzy Weighted Averaging (IFWA) operator. Practical Implications: The functional significance of this work was determined in the form of a framework, the implementation of which will allow managers to assess and constantly monitor the implementation process of SD strategy. At the same time, the application of IT in I4.0 ensures the ability to control them. Originality/Value: As highlighted in the state-of-the-art analysis, none of the existing works supports all the presented features of the proposed approach to improving sustainable development in manufacturing in the Industry 4.0 context using F-TOPSIS and IFWA.

Suggested Citation

  • Justyna Patals-Maliszewska & Hanna Losyk1, 2021. "Improving the Level of Sustainable Development in Industry 4.0 Context: A New Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 75-84.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:75-84
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    References listed on IDEAS

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    1. Tom Waas & Jean Hugé & Thomas Block & Tarah Wright & Francisco Benitez-Capistros & Aviel Verbruggen, 2014. "Sustainability Assessment and Indicators: Tools in a Decision-Making Strategy for Sustainable Development," Sustainability, MDPI, vol. 6(9), pages 1-23, August.
    2. Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola, 2021. "Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1497-1515, June.
    3. Tom Waas & Jean Huge & Thomas BLOCK & Tarah Wright & Francisco Javier Benitez Capistros & Aviel Verbruggen, 2014. "Sustainability assessment and indicators: Tools in a decision-making strategy for sustainable development," ULB Institutional Repository 2013/189410, ULB -- Universite Libre de Bruxelles.
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    More about this item

    Keywords

    Sustainable development; manufacturing; industry 4.0; assessment of sustainable development; Multi-Criteria Decision-Making (MCDM) methods.;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy

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