Ebru Turanoglu Bekar

Senior Lecturer at Production Systems

Ebru Turanoglu Bekar is a post-doctoral researcher at the department of Industrial and Materials Science at Chalmers University of Technology. She is a research group member of Production Service Systems & Maintenance. Her research areas are mainly total productive maintenance, artificial intelligence, multi-criteria decision making, performance measurement of manufacturing systems, engineering statistics and forecasting. The goal of her research is to build a structured way to analyze data and develop algorithms based on artificial intelligence techniques in Smart Maintenance.

Source: chalmers.se
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Showing 26 publications

2024

Involving students in engineering course design: a combined approach based on constructive alignment and multi-criteria decision-making

Ebru Turanoglu Bekar, Anders Skoogh, Jon Bokrantz
European Journal of Engineering Education. Vol. 49 (4), p. 647-666
Journal article
2024

Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System

Sabino Francesco Roselli, Martin Dahl, Mukund Subramaniyan et al
IFIP Advances in Information and Communication Technology. Vol. 732 IFIP, p. 95-107
Paper in proceeding
2023

Efficiency measurement based on novel performance measures in total productive maintenance (TPM) using a fuzzy integrated COPRAS and DEA method

Ebru Turanoglu Bekar
Frontiers in Manufacturing Technology. Vol. 3, p. 1-20
Journal article
2023

Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance

Siyuan Chen, Juan Pablo González Sánchez, Ebru Turanoglu Bekar et al
Proceedings - Winter Simulation Conference, p. 2008-2019
Paper in proceeding
2023

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 et al
Proceedings - Winter Simulation Conference. Vol. 2023, p. 1996-2007
Paper in proceeding
2023

Developing Data Models for Smart Environmental Performance Management in Production

Mélanie Despeisse, Qi Fang, Ebru Turanoglu Bekar et al
IFIP Advances in Information and Communication Technology. Vol. 692 AICT, p. 3-15
Paper in proceeding
2023

Battery Production Systems: State of the Art and Future Developments

Mélanie Despeisse, Björn Johansson, Jon Bokrantz et al
IFIP Advances in Information and Communication Technology. Vol. 692 AICT, p. 521-535
Paper in proceeding
2023

Domain Knowledge in CRISP-DM: An Application Case in Manufacturing

Nils Lundén, Ebru Turanoglu Bekar, Anders Skoogh et al
IFAC-PapersOnLine. Vol. 56 (2), p. 7603-7608
Paper in proceeding
2022

Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method

Camilla Lundgren, Ebru Turanoglu Bekar, Maja Bärring et al
International Journal of Computer Integrated Manufacturing. Vol. 35 (1), p. 69-90
Journal article
2022

Usability and Usefulness of Circularity Indicators for Manufacturing Performance Management

Fu Siang Syu, Adarsh Vasudevan, Mélanie Despeisse et al
Procedia CIRP. Vol. 105, p. 835-840
Paper in proceeding
2022

A Data Scientific Approach Towards Predictive Maintenance Application in Manufacturing Industry

Xinjie Duan, Adarsh Vasudevan, Ebru Turanoglu Bekar et al
Advances in Transdisciplinary Engineering. Vol. 21, p. 292-303
Paper in proceeding
2022

A Predictive Maintenance Application for A Robot Cell using LSTM Model

Doyel Joseph, Tilani Gallege, Ebru Turanoglu Bekar et al
IFAC-PapersOnLine. Vol. 55 (19), p. 115-120
Paper in proceeding
2021

A Data-Driven Approach to Air Leakage Detection in Pneumatic Systems

Mohan Rajashekarappa, Johan Lene, Ebru Turanoglu Bekar et al
2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021
Paper in proceeding
2021

A Machine Learning Based Health Indicator Construction in Implementing Predictive Maintenance: A Real World Industrial Application from Manufacturing

Harshad Kurrewar, Ebru Turanoglu Bekar, Anders Skoogh et al
IFIP Advances in Information and Communication Technology. Vol. 632 IFIP, p. 599-608
Paper in proceeding
2021

Multi-Machine Gaussian Topic Modeling for Predictive Maintenance

Alexander Karlsson, Ebru Turanoglu Bekar, Anders Skoogh
IEEE Access. Vol. 9, p. 100063-100080
Journal article
2020

An intelligent approach for data pre-processing and analysis in predictive maintenance with an industrial case study

Ebru Turanoglu Bekar, Per Nyqvist, Anders Skoogh
Advances in Mechanical Engineering. Vol. 12 (5)
Journal article
2020

Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems

Mélanie Despeisse, Ebru Turanoglu Bekar
IFIP Advances in Information and Communication Technology. Vol. 592 IFIP, p. 57-65
Paper in proceeding
2020

Organisational Constraints in Data-driven Maintenance: a case study in the automotive industry

P. Savolainen, J. Magnusson, Maheshwaran Gopalakrishnan et al
IFAC-PapersOnLine. Vol. 53 (3), p. 95-100
Paper in proceeding
2019

A prognostic algorithm to prescribe improvement measures on throughput bottlenecks

Mukund Subramaniyan, Anders Skoogh, Muhammad Azam Sheikh et al
Journal of Manufacturing Systems. Vol. 53, p. 271-281
Journal article
2018

Prediction of Industry 4.0’s Impact on Total Productive Maintenance Using a Real Manufacturing Case

Ebru Turanoglu Bekar, Anders Skoogh, Nihan Cetin et al
Proceedings of the International Symposium for Production Research 2018, p. 136-149
Paper in proceeding
2017

Using Adaptive Neuro-Fuzzy Inference System, Artificial Neural Network and Response Surface Method to Optimize Overall Equipment Effectiveness for An Automotive Supplier Company

Ebru Turanoglu Bekar, Mehmet Cakmakci, Cengiz Kahraman
Journal of Multiple-Valued Logic and Soft Computing. Vol. 28 (4-5), p. 375-407
Journal article
2016

Fuzzy Multiattribute Consumer Choice among Health Insurance Options

Asli Suder, Cengiz Kahraman, Ebru Turanoglu Bekar
Technological and Economic Development of Economy. Vol. 22 (1), p. 1-20
Journal article
2016

Fuzzy COPRAS Method for Performance Measurement in Total Productive Maintenance: A Comparative Analysis

Ebru Turanoglu Bekar, Mehmet Cakmakci, Cengiz Kahraman
Journal of Business Economics and Management. Vol. 17 (5), p. 663-684
Journal article
2016

ANFIS Modeling for Forecasting Oil Consumption of Turkey

Gozde Ulutagay, Ozlem Senvar, Ebru Turanoglu Bekar
Journal of Multiple-Valued Logic and Soft Computing. Vol. 26 (6), p. 609-624
Journal article
2015

An ANFIS Algorithm for Forecasting Overall Equipment Effectiveness Parameter in Total Productive Maintenance

Ebru Turanoglu Bekar, Mehmet Cakmakci, Cengiz Kahraman
Journal of Multiple-Valued Logic and Soft Computing. Vol. 25 (6), p. 535-554
Journal article
2014

Fuzzy Analytic Hierarchy Process with Interval Type-2 Fuzzy Sets

Başar Öztayşi, Cengiz Kahraman, İrem Uçal Sarı et al
Knowledge-Based Systems. Vol. 59, p. 48-57
Journal article

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Showing 7 research projects

2023–2025

Visibility of value networks for circularity and eco-efficiency (VIVACE)

Qi Fang Production Systems
Mélanie Despeisse Production Systems
Tarun Agrawal Supply and Operations Management
Ebru Turanoglu Bekar Production Systems
Patrik Jonsson Supply and Operations Management
Vinnova, Formas, Energimyndigheten

2 publications exist
2022–2023

Factory resource and energy efficiency through digitalization (FREED) - P2030 prestudy

Mélanie Despeisse Production Systems
Björn Johansson Production Systems
Qi Fang Production Systems
Ebru Turanoglu Bekar Production Systems
VINNOVA

1 publication exists
2022–2025

Trustworthy Predictive Maintenance TPdM

Ebru Turanoglu Bekar Production Systems
Anders Skoogh Production Systems
VINNOVA

2021–2024

Integrated Manufacturing Analytics Platform för Prediktivt Underhåll med Iot.

Anders Skoogh Production Systems
Siyuan Chen Production Systems
Jon Bokrantz Production Systems
Ebru Turanoglu Bekar Production Systems
Sabino Francesco Roselli Automation
VINNOVA

1 publication exists
2021–2021

Factory Resource and Energy Efficiency through Digitalization (FREED)

Mélanie Despeisse Production Systems
Ebru Turanoglu Bekar Production Systems
VINNOVA

3 publications exist
2019–2022

Predictive Maintenance using Advanced Cluster Analysis (PACA)

Ebru Turanoglu Bekar Production Systems
Anders Skoogh Production Systems
VINNOVA

3 publications exist
2017–2021

SUstainability, sMart Maintenance and factory design Testbed (SUMMIT)

Björn Johansson Production Systems
XIAOXIA CHEN Production Systems
Anders Skoogh Production Systems
Ebru Turanoglu Bekar Production Systems
Mélanie Despeisse Production Systems
Daniel Nåfors Production Systems
Liang Gong Production Systems
Jonatan Berglund Production Systems
VINNOVA

13 publications exist
There might be more projects where Ebru Turanoglu Bekar participates, but you have to be logged in as a Chalmers employee to see them.