2021
DOI: 10.1590/0101-7438.2021.041.00244928
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Abstract: The purpose of this paper is to investigate the prioritization of Radio Frequency Identification Technology (RFID) logistics projects in a developing economy. This paper adopts a Multi-Criteria Decision-Making (MCDM) method to assess RFID logistics projects. The study examines the use of RFID in the Brazilian aerospace industry and contributes to both the RFID and MDCA literature. The main contribution of this article is to present RFID applications in industrial processes and their strategic approaches, seeki… Show more

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Cited by 2 publications
(2 citation statements)
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“…Buer et al, 2018;Oztemel & Gursev, 2020). Technologies include Big Data (Del Río Castro et al, 2021;Manesh et al, 2021), Artificial Intelligence (Malik et al, 2021;Chehbi-Gamoura et al, 2020), Information Technology Infrastructure (Cassia et al, 2020;Núñez-Merino et al, 2020;Chong et al, 2018), and Internet of Things (Manavalan & Jayakrishna, 2019). However, the relationship between KM and I4.0 is discussed not only from a hard, technology-related perspective, but also from a soft, people-related one (e.g.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Buer et al, 2018;Oztemel & Gursev, 2020). Technologies include Big Data (Del Río Castro et al, 2021;Manesh et al, 2021), Artificial Intelligence (Malik et al, 2021;Chehbi-Gamoura et al, 2020), Information Technology Infrastructure (Cassia et al, 2020;Núñez-Merino et al, 2020;Chong et al, 2018), and Internet of Things (Manavalan & Jayakrishna, 2019). However, the relationship between KM and I4.0 is discussed not only from a hard, technology-related perspective, but also from a soft, people-related one (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…There are several technologies associated with I4.0, which are listed on Table 1. I4.0 requires the combination of knowledge about manufacturing technologies, total quality and supply chain management (Castro et al, 2021), which demands effective KM (Feng et al, 2017), as it requires increased data processing and the engagement of employees to seek autonomous solutions (Kaasinen et al, 2020;Trompisch, 2017). It requires operators to gain new knowledge and skills in order to cope with the challenges of digital transformation.…”
mentioning
confidence: 99%