Paper Info
Title
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.
Year
DOI
Venue
2017
10.1109/ice.2017.8280060
2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC)
Keywords
Field
DocType
industry data analytics, self-healing manufacturing, Big data platform
Self-healing,Data modeling,Logic gate,Data analysis,Software engineering,Computer science,Process efficiency,Big data,Maintenance engineering,Cloud computing
Conference
ISSN
Citations 
PageRank 
2334-315X
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
L. Stojanovic121619.19
Nenad Stojanovic21605152.52