Ebru Turanoglu Bekar

14 papers Misc 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comparison of unsupervised image anomaly detection models for sheet metal glue lines.
Eng. Appl. Artif. Intell.
Siyuan Chen, Sunith Bandaru, Silvan Marti, Ebru Turanoglu Bekar, Anders Skoogh
2024 — conf
Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System.
APMS (5)
Sabino Francesco Roselli, Martin Dahl, Mukund Subramaniyan, Ebru Turanoglu Bekar, Anders Skoogh
2023 — conf
Battery Production Systems: State of the Art and Future Developments.
APMS (4)
Mélanie Déspeisse, Björn Johansson, Jon Bokrantz, Greta Braun, Arpita Chari, Xiaoxia Chen, Qi Fang, Clarissa A. González Chávez, Anders Skoogh, Johan Stahre, Ninan Theradapuzha Mathew, Ebru Turanoglu Bekar, Hao Wang, Roland Örtengren
2023 Misc conf
Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP.
WSC
Paulo Victor Lopes, Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh
2023 — conf
Developing Data Models for Smart Environmental Performance Management in Production.
APMS (4)
Mélanie Déspeisse, Qi Fang, Ebru Turanoglu Bekar, Nils Ólafur Egilsson, Karolina Kazmierczak, Lena Moestam, Helena Söderberg, Dennis Andersson, Jenny Hörnlund, Björn Molin
2023 Misc conf
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance.
WSC
Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh, Paulo Victor Lopes
2022 J jnl
Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method.
Int. J. Comput. Integr. Manuf.
Camilla Lundgren, Ebru Turanoglu Bekar, Maja Bärring, Johan Stahre, Anders Skoogh, Björn Johansson, Richard Hedman
2021 — conf
A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing.
APMS (3)
Harshad Kurrewar, Ebru Turanoglu Bekar, Anders Skoogh, Per Nyqvist
2021 J jnl
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance.
IEEE Access
Alexander Karlsson, Ebru Turanoglu Bekar, Anders Skoogh
2020 — conf
Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems.
APMS (2)
Mélanie Déspeisse, Ebru Turanoglu Bekar
2017 J jnl
Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company.
J. Multiple Valued Log. Soft Comput.
Ebru Turanoglu Bekar, Mehmet Çakmakci, Cengiz Kahraman
2016 — ch.
A Fuzzy Design of Single and Double Acceptance Sampling Plans.
Intelligent Decision Making in Quality Management
Cengiz Kahraman, Ebru Turanoglu Bekar, Özlem Senvar
2016 J jnl
ANFIS Modeling for Forecasting Oil Consumption of Turkey.
J. Multiple Valued Log. Soft Comput.
Özlem Senvar, Gözde Ulutagay, Ebru Turanoglu Bekar
2015 J jnl
An Anfis Algorithm for Forecasting Overall Equipment Effectiveness Parameter in Total Productive Maintenance.
J. Multiple Valued Log. Soft Comput.
Ebru Turanoglu Bekar, Mehmet Çakmakci, Cengiz Kahraman