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Towards data-driven...
Towards data-driven approaches in manufacturing: an architecture to collect sequences of operations
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- Farooqui, Ashfaq Hussain, 1990 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Bengtsson, Kristofer, 1979 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Falkman, Petter, 1972 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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visa fler...
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- Fabian, Martin, 1960 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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visa färre...
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(creator_code:org_t)
- 2020-03-09
- 2020
- Engelska.
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Ingår i: International Journal of Production Research. - : Informa UK Limited. - 0020-7543 .- 1366-588X. ; 58:16, s. 4947-4963
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Published by Informa UK Limited, trading as Taylor & Francis Group. 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 This is leading to a point where existing systems on the factory floor get outdated, increasing the gap between existing technologies and state-of-the-art systems, making them incompatible.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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- conformance checking
- data streams
- smart factories
- sequence anomaly detection
- big data
- Industry 4.0
- manufacturing systems
- data acquisition and aggregation
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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