XVII International Conference on Systems, Automatic Control and Measurements, SAUM 2024 (pp. 112-116)
АУТОР(И) / AUTHOR(S): Dušan Simjanović , Dragan Antić , Saša S. Nikolić , Branislav Ranđelović
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DOI: 10.46793/SAUM24.112S
САЖЕТАК / ABSTRACT:
Smart Manufacturing, as the indispensable part of Industry 4.0 represents an important aspect of the business of every industrial factory. In this paper, relying on existing literature, some important criteria related to Smart Manufacturing Technology were considered. Using the Fuzzy AHP method, the Automation and Traceability stand out as the most important groups of criteria, while among them, Machine-to-machine communication (M2Mb), Identification and traceability of final products, and Automatic nonconformities identification in production are the highest ranked.
КЉУЧНЕ РЕЧИ / KEYWORDS:
Industry 4.0, smart manufacturing, digital technologies, fuzzy logic, fuzzy AHP
ПРОЈЕКАТ / ACKNOWLEDGEMENT:
This work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia [grant number 451-03-66/2024-03/200102].
ЛИТЕРАТУРА / REFERENCES
- Lee, B. Bagheri, and H. A. Kao, „A cyber-physical systems architecture for industry 4.0-based manufacturing systems.“ Manufacturing letters3 (2015): 18-23.
- Wang, et al., „Towards smart factory for industry 4.0: a self-organized multi-agent system with big data-based feedback and coordination.“ Computer networks101 (2016): 158-168.
- Lu, „Industry 4.0: A survey on technologies, applications and open research issues.“ Journal of industrial information integration6 (2017): 1-10.
- S., Dalenogare, et al. „The expected contribution of Industry 4.0 technologies for industrial performance.“ International Journal of Production Economics204 (2018): 383-394.
- Chiarello, et al. „Extracting and mapping industry 4.0 technologies using Wikipedia.“ Computers in Industry100 (2018): 244-257.
- Stock, Tim, et al., „Industry 4.0 as enabler for a sustainable development: A qualitative assessment of its ecological and social potential.“ Process Safety and Environmental Protection118 (2018): 254-267.
- Liao, et al., „Past, present and future of Industry 4.0-a systematic literature review and research agenda proposal.“ International journal of production research55.12 (2017): 3609-3629.
- Kagermann, et al. Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion, 2013.
- Schuh, et al. „Industrie 4.0 maturity index.“ Managing the digital transformation of companies61 (2017).
- Ivanov, et al. „A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0.“ International Journal of Production Research54.2 (2016): 386-402.
- G. Frank, S. D. Lucas, and N. F. Ayala. „Industry 4.0 technologies: Implementation patterns in manufacturing companies.“ International journal of production economics210 (2019): 15-26.
- M. Maretto, M. Faccio, and D. Battini. „A multi-criteria decision-making model based on fuzzy logic and AHP for the selection of digital technologies.“ IFAC-PapersOnLine55.2 (2022): 319-324.
- A. Zadeh, „The concept of a linguistic variable and its application to approximate reasoning—I.“ Information sciences8.3 (1975): 199-249.
- A. Zadeh, „The concept of a linguistic variable and its application to approximate reasoning—II.“ Information sciences8.4 (1975): 301-357.
- S. Chou, A. D. Pham, and H. Wang. „Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation.“ Automation in Construction35 (2013): 517-527.
- M., Milošević, M. R. Milošević, and D. J. Simjanović. „Implementation of adjusted fuzzy AHP method in the assessment for reuse of industrial buildings.“ Mathematics8.10 (2020): 1697.
- Kulak, M. B. Durmuşoğlu, and C. Kahraman. „Fuzzy multi-attribute equipment selection based on information axiom.“ Journal of materials processing technology169.3 (2005): 337-345.
- J. Simjanović, N. Zdravković, and N. O. Vesić. „On the factors of successful e-commerce platform design during and after COVID-19 pandemic Using extended fuzzy AHP method.“ Axioms11.3 (2022): 105.
- Y. Chang. „Applications of the extent analysis method on fuzzy AHP.“ European journal of operational research95.3 (1996): 649-655.
- Domínguez, and M. C. Carnero. „Fuzzy multicriteria modelling of decision making in the renewal of healthcare technologies.“ Mathematics8.6 (2020): 944.
- Lj. Janackovic, S. M. Savic, and M. S. Stankovic. „Selection and ranking of occupational safety indicators based on fuzzy AHP: A case study in road construction companies: Case study.“ South African Journal of Industrial Engineering24.3 (2013): 175-189.