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ORCIDEbru Turanoglu
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- unicode name: Ebru Turanoğlu
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2020 – today
- 2023
[c6]Mélanie Despeisse, Qi Fang, Ebru Turanoglu Bekar, Nils Ólafur Egilsson, Karolina Kazmierczak, Lena Moestam, Helena Söderberg, Dennis Andersson, Jenny Hörnlund, Björn Molin:
Developing Data Models for Smart Environmental Performance Management in Production. APMS (4) 2023: 3-15- [c5]Mélanie Despeisse, 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:
Battery Production Systems: State of the Art and Future Developments. APMS (4) 2023: 521-535 - [c4]Paulo Victor Lopes, Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh:
Data-Driven Smart Maintenance Decision Analysis: A Drone Factory Demonstrator Combining Digital Twins and Adapted AHP. WSC 2023: 1996-2007 - [c3]Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar, Jon Bokrantz, Anders Skoogh, Paulo Victor Lopes:
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance. WSC 2023: 2008-2019 - 2022
- [j8]Camilla Lundgren, Ebru Turanoglu Bekar, Maja Bärring, Johan Stahre, Anders Skoogh, Björn Johansson, Richard Hedman:
Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method. Int. J. Comput. Integr. Manuf. 35(1): 69-90 (2022) - 2021
- [j7]Alexander Karlsson, Ebru Turanoglu Bekar, Anders Skoogh:
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. IEEE Access 9: 100063-100080 (2021) - [c2]Harshad Kurrewar, Ebru Turanoglu Bekar, Anders Skoogh, Per Nyqvist:
A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing. APMS (3) 2021: 599-608 - 2020
- [c1]Mélanie Despeisse, Ebru Turanoglu Bekar:
Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems. APMS (2) 2020: 57-65
2010 – 2019
- 2017
- [j6]Ebru Turanoglu Bekar, Mehmet Çakmakci, Cengiz Kahraman:
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. 28(4-5): 375-407 (2017) - 2016
- [j5]Özlem Senvar, Gözde Ulutagay, Ebru Turanoglu Bekar:
ANFIS Modeling for Forecasting Oil Consumption of Turkey. J. Multiple Valued Log. Soft Comput. 26(6): 609-624 (2016) - [p1]Cengiz Kahraman, Ebru Turanoglu Bekar, Özlem Senvar:
A Fuzzy Design of Single and Double Acceptance Sampling Plans. Intelligent Decision Making in Quality Management 2016: 179-211 - 2015
- [j4]Ebru Turanoglu Bekar, Mehmet Çakmakci, Cengiz Kahraman:
An Anfis Algorithm for Forecasting Overall Equipment Effectiveness Parameter in Total Productive Maintenance. J. Multiple Valued Log. Soft Comput. 25(6): 535-554 (2015) - 2014
- [j3]Cengiz Kahraman, Basar Öztaysi, Irem Uçal Sari, Ebru Turanoglu:
Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl. Based Syst. 59: 48-57 (2014) - 2012
- [j2]Ebru Turanoglu, Ihsan Kaya, Cengiz Kahraman:
Fuzzy Acceptance Sampling and Characteristic Curves. Int. J. Comput. Intell. Syst. 5(1): 13-29 (2012) - [j1]Ebru Turanoglu, Özlem Senvar, Cengiz Kahraman:
Oil Consumption Forecasting in Turkey using Artificial Neural Network. Int. J. Energy Optim. Eng. 1(4): 89-105 (2012)
Coauthor Index
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