2020
DOI: 10.1007/s42452-020-2085-9
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Performance evaluation of SMEs towards Industry 4.0 using fuzzy group decision making methods

Abstract: The concept of Industry 4.0 is becoming increasingly important. Many technologies are used with Industry 4.0 such as the Internet of Things, Cyber-Physical Systems, Big Data. These technologies have begun to be used by companies. In this article, the technologies used in smart factories are explained in detail. Literature searches were made for Industry 4.0, Fuzzy Analytic Hierarchical Process (Fuzzy AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS). Then, the compari… Show more

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Cited by 18 publications
(5 citation statements)
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“…CPS is considered one of the core technological enablers for Industry 4.0 (Dalmarco et al 2019 ; Fatorachian and Kazemi 2018 ; Xu et al 2018 ; Yıldızbaşı and Ünlü, 2020 ). CPSs can be defined as “industrial automation systems that are interconnected through communication networks.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…CPS is considered one of the core technological enablers for Industry 4.0 (Dalmarco et al 2019 ; Fatorachian and Kazemi 2018 ; Xu et al 2018 ; Yıldızbaşı and Ünlü, 2020 ). CPSs can be defined as “industrial automation systems that are interconnected through communication networks.…”
Section: Resultsmentioning
confidence: 99%
“…Manufacturing companies nowadays are dealing with a massive volume of data from different sources due to the development in the manufacturing industry, and managing and processing these data is considered one of the main challenges for manufacturing companies (Bibby and Dehe 2018 ; Moeuf et al 2018 ; Yıldızbaşı and Ünlü, 2020 ).…”
Section: Resultsmentioning
confidence: 99%
“…According to the results, IoT and cyber security are the two most important subfactors. Although the criteria sets are different, IoT was found to be important in the first place in other studies in the literature [51]. After that, five different SMEs were evaluated in the seventh step.…”
Section: Applicationmentioning
confidence: 99%
“…Spyridonidou and Vagiona [73] used the GIS-based hybrid MCDM approach and Yildirim and Mercangoz [74] used FAHP and grey ARAS techniques to develop Greek offshore wind farms and evaluate the logistics performance of OECD countries. Yildizbasi and Unlu [75] made a comparison among three companies, towards industry 4.0, using FAHP and FTOPSIS. Chodha et al [76] presented an entropy-embedded simple MCDM methodology based on TOPSIS to select an industrial robot for arc welding operations.…”
Section: Literature Reviewmentioning
confidence: 99%