In the 20th century, manufacturing companies are striving to be more competitive and be more relevant to the industry to ensure sustainability of business while staying ahead of their peers. At the moment, manufacturing philosophy such as lean manufacturing is adopted quite extensively to ensure sustainability, however, there is still a need to further improve the current climate of the industry. This initiative sparks the revolutionary idea of Industry 4.0.
The main concept of the Industry 4.0 is to allow technologies and machines to communicate with human and business by exchanging data to make informed decisions. Coupling the data from machines, subject-matter-expertise and technologies, companies could leverage them to achieve business objectives more effectively and ergonomically.
Technologies has allowed machines, devices, sensors and people to be interconnected and this results in enormous amount of data generated and exchanged. Such reform necessitates the systematic analytics on data to transform them into information could be used for decision making. Therefore, organizations must be able to adapt to big data phenomenon to meet the expectations of Smart Manufacturing. However, big data analytics is a relatively new phenomenon and its potential applications on manufacturing activities are wide-reaching and diverse.
In this 3-days course incorporating a mixture of theories and hands-on, we will guide you through the methodology to carry out an analytical project to improve machine availability, via exercises carried out using state-of-the-art analytics tools. The essence of this course – the analytical methodologies to turn data into foresights will be the key to sustainable innovation in a smart manufacturing environment.