Abstract:

An accretion in Skills 4.0 is one of the major challenges for implementing Industry 4.0 in the developing countries. Industry 4.0 is the fourth industrial revolution that’s also known as I4.0/I4. Industry 4.0 is an eclectic mix of following technologies: big data analysis, robotics, simulation, system integration, internet of things (IoT), cybersecurity, cloud computing, 3D printing, and augmented reality. Basically, Industry 4.0 transforms industry into intelligent industry (iIndustry) by connecting Industrial Internet of Things (IIoT), which is the network of machines for sharing information and making decisions without any human involvement to produce high-quality products at low costs and changes the traditional production relations among suppliers, producers, and customers. Industry 4.0 uses advance machine learning and data mining techniques to predict future for optimizing the manufacturing process. Skills 4.0 is a skills model to build up Industry 4.0 that what skills we need to know for Industry 4.0. In this paper, we mainly focus on big data analytics in Skills 4.0, e.g. big data integration, processing, and modelling. We have discussed several important challenges and issues for big data mining in Industry 4.0. We lucid the skills that needed to extract knowledge/informative information from big data for decision making to predict the future of any anomalies is supply chain management (SCM) process. The objective of this study is to find the skills for big data analysis in Industry 4.0, and design and develop learning resources and materials to transfer the knowledge from Europe to Asia.

Keywords:

Big Data, Industry 4.0, Knowledge Mining, Machine Learning, Skills 4.0.