This file was created by the TYPO3 extension
bib
--- Timezone: CEST
Creation date: 2024-07-04
Creation time: 00-23-52
--- Number of references
2
article
2021_buckhorst_lmas
Holarchy for Line-less Mobile Assembly Systems Operation in the Context of the Internet of Production
Procedia CIRP
2021
5
3
99
448-453
Assembly systems must provide maximum flexibility qualified by organization and technology to offer cost-compliant performance features to differentiate themselves from competitors in buyers' markets. By mobilization of multipurpose resources and dynamic planning, Line-less Mobile Assembly Systems (LMASs) offer organizational reconfigurability. By proposing a holarchy to combine LMASs with the concept of an Internet of Production (IoP), we enable LMASs to source valuable information from cross-level production networks, physical resources, software nodes, and data stores that are interconnected in an IoP. The presented holarchy provides a concept of how to address future challenges, meet the requirements of shorter lead times, and unique lifecycle support. The paper suggests an application of decision making, distributed sensor services, recommender-based data reduction, and in-network computing while considering safety and human usability alike.
Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME '20), July 14-17, 2020, Gulf of Naples, Italy
Internet of Production; Line-less Mobile Assembly System; Industrial Assembly; Smart Factory
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-buckhorst-holarchy.pdf
Elsevier
Gulf of Naples, Italy
July 14-17, 2020
2212-8271
10.1016/j.procir.2021.03.064
1
Armin F.Buckhorst
BenjaminMontavon
DominikWolfschläger
MelanieBuchsbaum
AmirShahidi
HenningPetruck
IkeKunze
JanPennekamp
ChristianBrecher
MathiasHüsing
BurkhardCorves
VerenaNitsch
KlausWehrle
Robert H.Schmitt
article
2020_gleim_factDAG
FactDAG: Formalizing Data Interoperability in an Internet of Production
IEEE Internet of Things Journal
2020
4
14
7
4
3243-3253
In the production industry, the volume, variety and velocity of data as well as the number of deployed protocols increase exponentially due to the influences of IoT advances. While hundreds of isolated solutions exist to utilize this data, e.g., optimizing processes or monitoring machine conditions, the lack of a unified data handling and exchange mechanism hinders the implementation of approaches to improve the quality of decisions and processes in such an interconnected environment.
The vision of an Internet of Production promises the establishment of a Worldwide Lab, where data from every process in the network can be utilized, even interorganizational and across domains. While numerous existing approaches consider interoperability from an interface and communication system perspective, fundamental questions of data and information interoperability remain insufficiently addressed.
In this paper, we identify ten key issues, derived from three distinctive real-world use cases, that hinder large-scale data interoperability for industrial processes. Based on these issues we derive a set of five key requirements for future (IoT) data layers, building upon the FAIR data principles. We propose to address them by creating FactDAG, a conceptual data layer model for maintaining a provenance-based, directed acyclic graph of facts, inspired by successful distributed version-control and collaboration systems. Eventually, such a standardization should greatly shape the future of interoperability in an interconnected production industry.
Data Management; Data Versioning; Interoperability; Industrial Internet of Things; Worldwide Lab
internet-of-production
https://comsys.rwth-aachen.de/fileadmin/papers/2020/2020-gleim-iotj-iop-interoperability.pdf
IEEE
2327-4662
10.1109/JIOT.2020.2966402
1
LarsGleim
JanPennekamp
MartinLiebenberg
MelanieBuchsbaum
PhilippNiemietz
SimonKnape
AlexanderEpple
SimonStorms
DanielTrauth
ThomasBergs
ChristianBrecher
StefanDecker
GerhardLakemeyer
KlausWehrle