A Data Services-Based Quality Analysis System for the Life Cycle of Tire Production

Smart manufacturing is a manufacturing strategy that is principally based on the digitization of manufacturing related activities and the rapid conversion of data into information. Innovations in big data analysis can be used to support the quick data-driven decision making processes needed for today's turbulent markets [1-3]. Big data refers to the large volumes of structured, semi-structured, and unstructured data, acquired from a variety of heterogeneous sources [4]. This data is typically assumed to have the valuable information hidden in it because substantial efforts and resources are needed to uncover it [5, 6]. According to the U.S. National Institute of Science and Technology (NIST) Big Data Public Working Group (Reference Architecture Subgroup) [7], big data does not refer to the increasingly large datasets or the requirement for improved performance and efficiency. Instead, it refers to the fundamental reforms in the architecture needed to manage this data [1-3]. Big data analytics are currently used for many industrial applications. This includes product lifecycle management [8], process redesign [9], supply chain management [10], and production systems data analysis [11]. Of these, production systems analysis has

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Manufacturing process data analysis pipelines: a requirements analysis and survey

Ismail

2019

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A Data Services-Based Quality Analysis System for the Life Cycle of Tire Production

Cited by 1 publication

References 12 publications

Manufacturing process data analysis pipelines: a requirements analysis and survey

Manufacturing process data analysis pipelines: a requirements analysis and survey

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