TY  - JOUR
A1  - Lass, Sander
A1  - Gronau, Norbert
T1  - A factory operating system for extending existing factories to Industry 4.0
JF  - Computers in industry : an international, application oriented research journal
N2  - Cyber-physical systems (CPS) have shaped the discussion about Industry 4.0 (I4.0) for some time. To ensure the competitiveness of manufacturing enterprises the vision for the future figures out cyber-physical production systems (CPPS) as a core component of a modern factory. Adaptability and coping with complexity are (among others) potentials of this new generation of production management. The successful transformation of this theoretical construct into practical implementation can only take place with regard to the conditions characterizing the context of a factory. The subject of this contribution is a concept that takes up the brownfield character and describes a solution for extending existing (legacy) systems with CPS capabilities.
KW  - Factory operating system
KW  - CPPS
KW  - CPS
KW  - Decentralized production control
KW  - Industry 4.0
KW  - retrofit
Y1  - 2019
U6  - https://doi.org/10.1016/j.compind.2019.103128
SN  - 0166-3615
SN  - 1872-6194
VL  - 115
PB  - Elsevier
CY  - Amsterdam
ER  - 
TY  - CHAP
A1  - Grum, Marcus
A1  - Bender, Benedict
A1  - Gronau, Norbert
A1  - Alfa, Attahiru S.
T1  - Efficient task realizations in networked production infrastructures
T2  - Proceedings of the Conference on Production Systems and Logistics
N2  - As Industry 4.0 infrastructures are seen as highly evolutionary environment with volatile, and time-dependent workloads for analytical tasks, particularly the optimal dimensioning of IT hardware is a challenge for decision makers because the digital processing of these tasks can be decoupled from their physical place of origin. Flexible architecture models to allocate tasks efficiently with regard to multi-facet aspects and a predefined set of local systems and external cloud services have been proven in small example scenarios. This paper provides a benchmark of existing task realization strategies, composed of (1) task distribution and (2) task prioritization in a real-world scenario simulation. It identifies heuristics as superior strategies.
KW  - Industry 4.0
KW  - CPS
KW  - Decentral Decision Making
KW  - Industrial Analytics
KW  - Case Study
Y1  - 2020
U6  - https://doi.org/10.15488/9682
SP  - 397
EP  - 407
PB  - publish-Ing.
CY  - Hannover
ER  - 
TY  - GEN
A1  - Grum, Marcus
A1  - Gronau, Norbert
T1  - Process modeling within augmented reality
BT  - the bidirectional interplay of two worlds
T2  - Business Modeling and Software Design, BMSD 2018
N2  - The collaboration during the modeling process is uncomfortable and characterized by various limitations. Faced with the successful transfer of first process modeling languages to the augmented world, non-transparent processes can be visualized in a more comprehensive way. With the aim to rise comfortability, speed, accuracy and manifoldness of real world process augmentations, a framework for the bidirectional interplay of the common process modeling world and the augmented world has been designed as morphologic box. Its demonstration proves the working of drawn AR integrations. Identified dimensions were derived from (1) a designed knowledge construction axiom, (2) a designed meta-model, (3) designed use cases and (4) designed directional interplay modes. Through a workshop-based survey, the so far best AR modeling configuration is identified, which can serve for benchmarks and implementations.
KW  - Augmented reality
KW  - Process modeling
KW  - Simulation process building
KW  - Generalized knowledge constructin axiom
KW  - Meta-model
KW  - Use cases Morphologic box
KW  - Industry 4.0
KW  - CPS
KW  - CPPS
KW  - Internet of things
Y1  - 2018
SN  - 978-3-319-94214-8
SN  - 978-3-319-94213-1
U6  - https://doi.org/10.1007/978-3-319-94214-8_7
SN  - 1865-1348
VL  - 319
SP  - 99
EP  - 115
PB  - Springer
CY  - Berlin
ER  -