Anders Skoogh
Chalmers tekniska högskola
H-index: 31
Europe-Sweden
Top articles of Anders Skoogh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Synthetic data generation for digital twins: enabling production systems analysis in the absence of data | International Journal of Computer Integrated Manufacturing | Paulo Victor Lopes Leonardo Silveira Roberto Douglas Guimaraes Aquino Carlos Henrique Ribeiro Anders Skoogh | 2024/3/15 |
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance | Siyuan Chen Juan Pablo González Sánchez Ebru Turanoglu Bekar Jon Bokrantz Anders Skoogh | 2023/12/10 | |
How industrial maintenance managers perceive socio-technical changes in leadership in the Industry 4.0 context | International Journal of Production Research | Camilla Lundgren Cecilia Berlin Anders Skoogh Anders Källström | 2023/8/3 |
Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP | Paulo Victor Lopes Siyuan Chen Juan Pablo González Sánchez Ebru Turanoglu Bekar Jon Bokrantz | 2023/12/10 | |
Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM | Production Planning & Control | Jon Bokrantz Mukund Subramaniyan Anders Skoogh | 2023/7/15 |
Involving students in engineering course design: a combined approach based on constructive alignment and multi-criteria decision-making | European Journal of Engineering Education | Ebru Turanoglu Bekar Anders Skoogh Jon Bokrantz | 2023/11/7 |
Adoption patterns and performance implications of Smart Maintenance | International Journal of Production Economics | Jon Bokrantz Anders Skoogh | 2023/2/1 |
Battery Production Systems: State of the Art and Future Developments | Mélanie Despeisse Björn Johansson Jon Bokrantz Greta Braun Arpita Chari | 2023/9/14 | |
Domain Knowledge in CRISP-DM: An Application Case in Manufacturing | IFAC-PapersOnLine | Nils Lundén Ebru Turanoglu Bekar Anders Skoogh Jon Bokrantz | 2023/1/1 |
Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes | Anders Skoogh Matthias Thürer Mukund Subramaniyan Andrea Matta Christoph Roser | 2023/12/31 | |
A Collaborative Digital Platform for Root Cause Analysis in a Value Chain | Industrial Engineering and Applications: Proceedings of the 10th International Conference on Industrial Engineering and Applications (ICIEA 2023), April 4-6, 2023, Phuket, Thailand | Adriana ITOa Dan LIa Malin Hane Hagström Jon Bokrantz Anders Skoogh | 2023/8/9 |
A data scientific approach towards predictive maintenance application in manufacturing industry | Xinjie Duan Adarsh Vasudevan Ebru Turanoglu Bekar Kanika Gandhi Anders Skoogh | 2022 | |
Prioritisation of root cause analysis in production disturbance management | International Journal of Quality & Reliability Management | Adriana Soares Ito Torbjörn Ylipää Per Gullander Jon Bokrantz Anders Skoogh | 2022/3/30 |
Development of digitalised maintenance–a concept | Journal of Quality in Maintenance Engineering | Hatem Algabroun Jon Bokrantz Basim Al-Najjar Anders Skoogh | 2022/3/28 |
Hindering factors in smart maintenance implementation | Camilla Lundgren Jon Bokrantz Anders Skoogh | 2022 | |
Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method | International Journal of Computer Integrated Manufacturing | Camilla Lundgren Ebru Turanoglu Bekar Maja Bärring Johan Stahre Anders Skoogh | 2022/1/2 |
Data-driven machine criticality assessment–maintenance decision support for increased productivity | Production Planning & Control | Maheshwaran Gopalakrishnan Mukund Subramaniyan Anders Skoogh | 2022/1/2 |
Improved root cause analysis supporting resilient production systems | Adriana Ito Malin Hagström Jon Bokrantz Anders Skoogh Mario Nawcki | 2022/7/1 | |
A Predictive Maintenance Application for A Robot Cell using LSTM Model | IFAC-PapersOnLine | Doyel Joseph Tilani Gallege Ebru Turanoglu Bekar Catarina Dudas Anders Skoogh | 2022/1/1 |
A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing | Harshad Kurrewar Ebru Turanouglu Bekar Anders Skoogh Per Nyqvist | 2021 |
