Title
Towards Data-Driven Approaches In Manufacturing: An Architecture To Collect Sequences Of Operations
Abstract
The technological advancements of recent years have increased the complexity of manufacturing systems, and the ongoing transformation to Industry 4.0 will further aggravate the situation. This is leading to a point where existing systems on the factory floor get outdated, increasing the gap between existing technologies and state-of-the-art systems, making them incompatible. This paper presents an event-based data pipeline architecture, that can be applied to legacy systems as well as new state-of-the-art systems, to collect data from the factory floor. In the presented architecture, actions executed by the resources are converted to event streams, which are then transformed into an abstraction called operations. These operations correspond to the tasks performed in the manufacturing station. A sequence of these operations recount the task performed by the station. We demonstrate the usability of the collected data by using conformance analysis to detect when the manufacturing system has deviated from its defined model. The described architecture is developed in Sequence Planner - a tool for modelling and analysing production systems - and is currently implemented at an automotive company as a pilot project.
Year
DOI
Venue
2020
10.1080/00207543.2020.1735660
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Keywords
DocType
Volume
Industry 4, 0, big data, manufacturing systems, smart factories, data acquisition and aggregation, conformance checking, data streams, sequence anomaly detection
Journal
58
Issue
ISSN
Citations 
16
0020-7543
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Ashfaq Hussain Farooqui100.34
Kristofer Bengtsson29913.15
Petter Falkman34610.37
Martin Fabian420427.91