E-LIB Suche - Ergebnisse für: Skoogh, Anders

1

Synthetic data generation for digital twins: enabling produ..:

Lopes, Paulo Victor ; Silveira, Leonardo ; Guimaraes Aquino, Roberto Douglas...
International Journal of Computer Integrated Manufacturing. , 2024

Link: https://doi.org/10.1080/..

2

Battery Production Systems: State of the Art and Future Dev..:

, In: IFIP Advances in Information and Communication Technology; Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures,

Despeisse, Mélanie ; Johansson, Björn ; Bokrantz, Jon... - p. 521-535 , 2023

Link: https://doi.org/10.1007/..

3

Data-Driven Smart Maintenance Decision Analysis: A Drone Fa..:

, In: 2023 Winter Simulation Conference (WSC),

Lopes, Paulo Victor ; Chen, Siyuan ; Sanchez, Juan Pablo Gonzalez... - p. 1996-2007 , 2023

Link: https://doi.org/10.1109/..

4

Adoption patterns and performance implications of Smart Mai..:

Bokrantz, Jon ; Skoogh, Anders
International Journal of Production Economics. 256 (2023) - p. 108746 , 2023

Link: https://doi.org/10.1016/..

5

Throughput bottleneck detection in manufacturing: a systema..:

Skoogh, Anders ; Thürer, Matthias ; Subramaniyan, Mukund..
Production & Manufacturing Research. 11 (2023) 1 - p. , 2023

Link: https://doi.org/10.1080/..

6

Involving students in engineering course design: a combined..:

Turanoglu Bekar, Ebru ; Skoogh, Anders ; Bokrantz, Jon
European Journal of Engineering Education. 49 (2023) 4 - p. 647-666 , 2023

Link: https://doi.org/10.1080/..

7

Realising the promises of artificial intelligence in manufa..:

Bokrantz, Jon ; Subramaniyan, Mukund ; Skoogh, Anders
Production Planning & Control. , 2023

Link: https://doi.org/10.1080/..

8

Understanding Stakeholder Requirements for Digital Twins In..:

, In: 2023 Winter Simulation Conference (WSC),

Chen, Siyuan ; Sanchez, Juan Pablo Gonzalez ; Bekar, Ebru Turanoglu... - p. 2008-2019 , 2023

Link: https://doi.org/10.1109/..

9

Improved root cause analysis supporting resilient productio..:

Ito, Adriana ; Hagström, Malin ; Bokrantz, Jon...
Journal of Manufacturing Systems. 64 (2022) - p. 468-478 , 2022

Link: https://doi.org/10.1016/..

10

How industrial maintenance managers perceive socio-technica..:

Lundgren, Camilla ; Berlin, Cecilia ; Skoogh, Anders.
International Journal of Production Research. 61 (2022) 15 - p. 5282-5301 , 2022

Link: https://doi.org/10.1080/..

11

Perspectives on the Future of Maintenance Engineering Educa..:

, In: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems; IFIP Advances in Information and Communication Technology,

Bokrantz, Jon ; Skoogh, Anders - p. 209-216 , 2021

Link: https://doi.org/10.1007/..

12

Determining the impact of 5G-technology on manufacturing pe..:

Lundgren, Camilla ; Turanoglu Bekar, Ebru ; Bärring, Maja...
International Journal of Computer Integrated Manufacturing. 35 (2021) 1 - p. 69-90 , 2021

Link: https://doi.org/10.1080/..

13

An Enhanced Data-Driven Algorithm for Shifting Bottleneck D..:

, In: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems; IFIP Advances in Information and Communication Technology,

Roser, Christoph ; Subramaniyan, Mukund ; Skoogh, Anders. - p. 683-689 , 2021

Link: https://doi.org/10.1007/..

14

Artificial intelligence for throughput bottleneck analysis ..:

Subramaniyan, Mukund ; Skoogh, Anders ; Bokrantz, Jon...
Journal of Manufacturing Systems. 60 (2021) - p. 734-751 , 2021

Link: https://doi.org/10.1016/..

15

Multi-Machine Gaussian Topic Modeling for Predictive Mainte..:

Karlsson, Alexander ; Bekar, Ebru Turanoglu ; Skoogh, Anders
IEEE Access. 9 (2021) - p. 100063-100080 , 2021

Link: https://doi.org/10.1109/..