Industrial Big Data as a Result of IoT Adoption in Manufacturing

By Dimitris Mourtzis, Ekaterini Vlachou, Nikolaos T. Milas. 2016

403 citations recorded by the source corpus.

Abstract The radical evolution of internet into a network of interconnected objects that create a smart environment is characterized by the term Internet of Things (IoT). The adoption of IoT in manufacturing enables the transition of tradition manufacturing systems into modern digitalized ones, generating significant economic opportunities through industries re-shaping. Industrial IoT empowers the modern companies to adopt new data-driven strategies and handle the global competitive pressure more easily. However, the adoption of IoT, increases the total volume of the generated data transforming the industrial data into industrial Big Data. The work demonstrated in this paper presents how the adoption of IoT in manufacturing, considering sensory systems and mobile devices, will generate industrial Big Data. Moreover, a developed IoT application is presented showing how real industrial data can be generated leading to Industrial Big Data. The proposed methodology is validated in a real life case study from a mould-making industry.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/2a6a9c939c2abecf4c7acb7d9e439f0e53e5f399

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In Industrial and Manufacturing Engineering

Citations in the corpus

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection (2020, neutral): “Industrial big data (IBD) refers to a large amount of data generated by sensors installed on industrial equipment (Lee et al. 2014; Mourtzis et al. 2016).”
Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research (2019, background): “…concept is easier to be implemented due to the availability of the required amount of data for techniques such as machine learning to work properly (Mourtzis, Vlachou, and Milas 2016; Chien, Hsu, and Chen 2013; Kuo et al. 2013; Choi et al. 2012) but still a lot of effort is needed for better…”
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, background): “Gartner predicted that more than 20 billion devices (most from the manufacturing industry) would be connected to the IoT by 2020 [2].”
The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “In relation to speciﬁc issues of increasing research interest one can highlight the body of work on security [160, 161], networking and communication [162], as well as data management [163, 164, 165, 166, 167].”
The role of big data analytics in Internet of Things (2017, background): “P T D. Mourtzis et al. [28] reveal that the adoption of IoT in the manufacturing industry can transform traditional systems into modern ones.”