Optimizing Large-Scale Data Processing in Smart Manufacturing: A Benchmarking Study on Automotive Industry Data
Abstract
Considering the high data production in automotive sector production lines, the analysis of this data is of critical importance for predictive maintenance, energy efficiency, and quality control processes. However, increasing data volume challenges the limits of traditional methods and requires consideration of the performance evaluation of different libraries. This paper aims to compare the performance characteristics of Pandas, Dask, Modin, Vaex and Polars libraries in the Python ecosystem for processing large datasets obtained from welding machines used in modern automotive production systems. The study utilized real production data from Matay, an automotive parts supplier, consisting of approximately 30 days of exhaust production machine data with a size of 17 GB containing 106,167,826 rows. Subsets of different sizes (10K, 100K, 1M, 10M rows) were created from this dataset, and 11 different experiments were conducted on selected columns. These experiments cover the topics of reading data, filtering, sorting, grouping, merging, writing data in different formats (csv, parquet) and handling missing data. Then the experiments were evaluated based on three different metrics: total execution time, total memory usage, and CPU execution time. Each experiment was repeated 3 times and average values were recorded. In conclusion, this study demonstrates that Polars may be more advantageous for performance-oriented applications across all data scales. Ultimately, the strategic selection of these data processing tools serves as a critical enabler for digital transformation in the automotive industry; thereby facilitating the integration of digital twins and AI-driven quality control into high-performance Industry 4.0 ecosystems.
Keywords
Industrial Data Analytics Automotive Manufacturing Big Data Analysis Performance Benchmarking Python Frameworks
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Details
| Primary Language | English |
|---|---|
| Subjects | Automotive Engineering (Other) |
| Journal Section | Research Article |
| Authors | |
| Submission Date | April 15, 2025 |
| Acceptance Date | January 20, 2026 |
| Publication Date | February 11, 2026 |
| DOI | https://doi.org/10.30939/ijastech..1676422 |
| IZ | https://izlik.org/JA32ZX88XZ |
| Published in Issue | Year 2026 Volume: 10 Issue: 1 |
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International Journal of Automotive Science and Technology is a multidisciplinary open access journal which publishes blind peer reviewed original research articles. The journal includes a wide range of fields related with automotive technologies and creates a platform for researchers to make their contribution to automotive science. International Journal of Automotive Science and Technology is a member of Society of Automotive Engineers Turkey. http://omd.org.tr/
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[1] Setiyo M, Waluyo B. Mixer with Secondary Venturi: An Invention for the First-Generation LPG Kits. Int J Automot Sci Technol. 2019;3(1):21–26.
[2] Can Ö, Öztürk E, Solmaz H, Aksoy F, Çinar C, Yücesu HS. Combined effects of soybean biodiesel fuel addition and EGR application on the combustion and exhaust emissions in a diesel engine. Appl Therm Eng. 2016;95:115–124.
[3] Sezer İ. A review study on the using of diethyl ether in diesel engines: Effects on CO emissions. Int J Automot Sci Technol. 2019;3(1):6–20.
[4] İlker Ö, Kul BS, Ciniviz M. A Comparative Study of Ethanol and Methanol Addition Effects on Engine Performance , Combustion and Emissions in the SI Engine. Int J Automot Sci Technol. 2020;4(2):59–69.
[5] Solouk A, Shakiba-Herfeh M, Kannan K, Solmaz H, Dice P, Bidarvatan M, et al. Fuel Economy Benefits of Integrating a Multi- Mode Low Temperature Combustion (LTC) Engine in a Series Extended Range Electric Powertrain. In: SAE Technical Papers. 2016.
[6] Gupta HN. Fundamentals of internal combustion engines. PHI Learning Pvt. Ltd.; 2012.
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M.M. Topaç is a senior researcher in automotive engineering at Dokuz Eylül University Department of Mechanical Engineering.
Main research topics:
• Vehicle engineering / Automotive systems,
• Vehicle design,
• Chassis systems engineering,
• Vehicle suspensions & steering,
• Ground vehicle dynamics,
• Failure analysis and prevention in vehicle design,
• Vehicle structures,
• Applied optimisation in vehicle engineering,
• Defence engineering,
• Electromobility.
Current research interests:
• Chassis systems design for special purpose vehicles: multi-axle land platforms, heavy-duty commercial vehicles, articulated vehicles / trailers, tracked vehicles,
• Alternative urban transportation: design of electric vehicles / urban electric microcars,
• Failure analysis and optimal design of vehicle components and structures,
• Dynamics of special purpose land vehicles,
• Modelling, design, optimisation and manufacturing of vehicle suspensions, axle systems and steering systems (including multi-axle steering systems for special purpose land vehicles and trailers),
• Design and optimisation of chassis and vehicle body structure,
• Powertrain modelling / Drivetrain dynamics.
Since 2006, he has been serving as a project consultant for automotive industry. He has been directing projects related to design and optimisation of suspensions, steering linkages, chassis, body and the other mechanical subsystems of wheeled vehicles. Moreover, he is investigating the effects of the design parameters of suspension and steering systems on handling behaviour and dynamics of wheeled and tracked land vehicles. He is also interested in topology optimisation-based lightweight design applications in vehicle engineering.
He is a member of SAE International.
Ir Prof Pak Kin Wong received the Ph.D. degree in Mechanical Engineering from The Hong Kong Polytechnic University, Hong Kong, in 1997. He is currently a Professor in the Department of Electromechanical Engineering and Dean of Graduate School, University of Macau. He is also the Fellow of the Hong Kong Institution of Engineers and Chartered Fellow of Chartered Association of Building Engineers, U.K. His research interests include automotive engineering, artificial intelligence for medical applications, fluid transmission and control and mechanical vibration. He has published over 354 scientific papers. 238 out of 354 are refereed journal papers.
Dr. Yanan Camaraza-Medina is a Postdoctoral Fellow in the Department of Mechanical Engineering, University of Guanajuato, Mexico. He received his M.Sc. in thermal engineering from the Universidad de Matanzas “Camilo Cienfuegos” in 2011 and the M.Sc. in electrical engineering from the Universidad Central de Las Villas “Marta Abreu” in 2015. He received his Ph.D. (Doctor in Technical Sciences) from the Universidad Central de Las Villas “Marta Abreu” in 2019. His research interests include problems of the heat transfer and fluid mechanics, with a special focus on thermal radiation, convective heat transfer and numerical modeling of thermal processes. He is a member of Editorial Advisory Board of three Scopus Indexed Journals, Mathematical Modelling of Engineering Problems (IIETA), Journal Européen des Systèmes Automatisés (IIETA), Recent Patents on Engineering (Bentham Science). Dr. Camaraza-Medina is the author and coauthor of more than 60 papers and several books.
Dr. Ramazan Şener is an expert in thermofluids, CFD and ICEs. He earned his PhD at Marmara University focusing on engine performance improvement and emissions reduction using advanced simulation tools and experimental methods. He also had the opportunity to conduct his research at the University of Catania, Italy. He is currently an Associate Professor at Bandirma Onyedi Eylul University, where he teaches and conducts research in thermofluids, optimization, ICEs, and renewable energy systems.
Dr. Gang Li is an Assistant Professor at Michael W. Hall School of Mechanical Engineering at Mississippi State University. His research interests include the fields of renewable energy technologies, applied artificial intelligence, dynamics and vibration, control theory, condition monitoring algorithms, structural health monitoring, and life cycle assessment, and involve AI for engineering, numerical simulation, experimental validation, and industrial application. Dr. Li is a recipient of the NSF EPSCoR Research Fellow Award and DOE EnergyTech UP Faculty Explorer Award. Dr. Li's research has been funded by NSF, DOE, the Maryland Energy Innovation Institute's Energy Innovation Seed Grant, the Maryland Technology Development Corporation’s Maryland Innovation Initiative (MII) Grant, the Maryland Offshore Wind Energy Research (MOWER) Challenge Grant Program, General Electric (GE), and Baltimore Gas and Electric (BGE). Dr. Li is a member of ASME, IEEE, and SAE International.
Editorial Board
International Journal of Automotive Science and Technology (IJASTECH) is published by Society of Automotive Engineers Turkey
