PREMIuM: Big data platform for enabling self-healing manufacturing

Abstract

The role of big data analytics in modern manufacturing has been proven, esp. in the area of improving process efficiency. This paper goes a step forward and introduces requirements/challenges for enabling a continuous process improvement. It means that a manufacturing system will be able not only to react on a problem at hand, but rather to sense the problem (in advance) and proactively resolve the situation. In this paper, we focus on a specific type of self-adaptive manufacturing systems, which are able to resolve the problems with the equipment in an autonomous way (the so-called self-healing). The paper describes the detailed design of the platform called PREMIuM for realizing self-healing manufacturing. The platform is based on our existing work related to the big data analytics, in particular D2Lab framework for developing industry data analytics solutions. We provide also some insights from an initial validation study.