Abstract
MES (Manufacturing Execution System) imalat alanındaki makineler, çalışanlar ve süreçler arasında dijital bir köprü kurarak; imalat süreçlerinin gerçek zamanlı izlenmesini, düzenlenmesini ve control edilmesini sağlayan bir yazılım sistemidir. Dijital dönüşüm ve teknolojik gelişmelerle birlikte işletmelerdeki birçok süreç bilgisayar tabanlı hâle gelmiştir. Bu durum, cihazların uzaktan kontrolünü, veri alışverişini ve süreçlerin optimizasyonunu mümkün kılmıştır. MES sistemleri; üretimde verimliliği artırmak, hataları azaltmak ve kaynak kullanımını iyileştirmek açısından kritik bir rol oynamaktadır. Ancak buna rağmen Türkiye'deki MES kullanım oranı hâlen düşük seviyelerde olup küresel ortalamanın gerisindedir. Bu durum, yerli işletmelerin dijitalleşme sürecinde MES sistemlerine daha fazla ilgi göstermeleri ve yatırım yapmaları gerektiğini ortaya koymaktadır. Bu çalışmada, MES ile ilgili temel bilgiler, sistemlere ilişkin standartlar ve iletişim protokolleri ele alınmakta; ayrıca örnek bir firmada gerçekleştirilen Toplam Ekipman Etkinliği (OEE) analizi ile verimlilik artışına yönelik iyileştirme alanları, üretim kayıplarının nedenleri ve çözüm önerileri ortaya konulmaktadır. Elde edilen bulguların, gelecekteki akademik araştırmalara ve endüstriyel uygulamalara farkındalık sağlaması ve katkı sunması hedeflenmektedir.
Keywords
İmalat Yürütme Sistemleri Dijital Dönüşüm Üretim Verimliliği İletişim Protokolleri Toplam Ekipman Etkinliği
References
- A. Schmidt, B. Otto, and H. Österle, "A Functional Reference Model for Manufacturing Execution Systems in the Automotive Industry," in Wirtschaftinformatik, 2011, p. Paper 89.
- Arica, E., & Powell, D. J. (2017, December). Status and future of manufacturing execution systems. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 2000-2004). IEEE.
- Barkmeyer, E., Denno, P., Feng, S., Jones, A., and Wallace, E. (1999). NIST response to MES request for information. NIST Response to RFI-3 MES Models, pages 2–4.
- Bokrantz, J., Subramaniyan, M., & Skoogh, A. (2024). Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM. Production Planning & Control, 35(16), 2234-2254.
- Brodny, J. and M. Tutak. 2019. Analysing the utilisation eff ectiveness of mining machines using independent data acquisition systems: A case study. Energies 12(13).
- Caiza, G.; Sanz, R. An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes. Appl. Sci. 2024, 14, 4125.
- Chen, X., & Voigt, T. (2020). Implementation of the Manufacturing Execution System in the food and beverage industry. Journal of Food Engineering, 278, 109932.
- Erkan M. (2007). Bilgisayar destekli veri toplama sisteminin dokuma makinelerinde uygulanması. Yüksek Lisans Tezi. Uludağ Üniversitesi.
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- Kocabay, İ. V. (2019). Dijital ikizler gömülü gerçek zamanlı üretim yürütme sistemi tasarımı: kitlesel özelleştirme ile üretim yapan bir firmada uygulama. Yüksek lisans tezi, Hacettepe Üniversitesi.
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- Liao, P. Y., Gong, D. C., & Zeng, Z. (2024). Enhancing Order Fulfillment Through Production Process Reengineering Using Manufacturing Execution System as a Reference Model. IEEE Access.
- Mantravadi S, Moller C. An overview of next-generation manufacturing execution systems: how important is MES for industry 4.0. 14th Glob Congr Manuf Manag (GCMM) 2019:588–95.
- Mohamed, M.M. and Alraddadi, A.S. (2024) Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP BackEnd Integration: Ready-Made Garments as a Case Study. American Journal of Operations Research, 14, 137-150.
- Nakajima S., Introduction to TPM, productivity press, Portland , 1988.
- ProManage. (2025). MES, MES 1.1, CMES, ISA-95, NAMUR – Why are there so many standards?. [Online]. Erişim: https://promanagecloud.com/mes-mes-11-cmes-isa-95-namur-why-are-there-so-many-standards/.
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- Shin, S. U., Lee, H. M., & Park, S. H. (2023). Research on Precision Processing Production System based on Manufacturing Execution System. Journal of Digital Policy, 2(4), 17-23.
- Vadı, S., Guler, N., & Bayındır, R. (2014). Endüstriyel Alanlarda Kullanılan Veri İletim Tekniklerinin Karşılaştırılması. Gazi University Journal of Science Part C: Design and Technology, 2(1), 181-188.
- Yetişken, F. M. (2010). Elektrik sayaçlarının uzaktan okuma teknikleri ve prototip geliştirilmesi, Yüksek Lisans Tezi, Sakarya Üniversitesi.
- Yılmaz C, Üncü İS. (2006). Profıbus-Dp ağ tabanlı bina otomasyonu tasarımı. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 11(2), 161-166.
- Qiu, X., H. Luo, G. Xu, R. Zhong and G. Q. Huang (2015). Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). International Journal of Production Economics, 159, 4-15.
- Qu T, Lei SP, Chen YD, Wang ZZ, Luo H, Huang GQ (2014) Internet-of-Things-enabled Smart Production Logistics Execution System Based on Cloud Manufacturing. In: Proceedings of ASME 2014 Conference on Manufacturing Science and Engineering Conference.
An Overview of Manufacturing Execution Systems and Overall Equipment Effectiveness Analysis in a Manufacturing Company
Abstract
MES (Manufacturing Execution System) is a software system that provides real-time monitoring, regulation and control of manufacturing processes by establishing a digital bridge between machines, employees and processes in the manufacturing field. With digital transformation and technological developments, many processes in businesses have become computer-based. This has made it possible to remotely control devices, exchange data and optimize processes. MES systems play a critical role in increasing efficiency in production, reducing errors and improving resource utilization. However, despite this, the MES usage rate in Türkiye is still low and lags behind the global average. This situation reveals that domestic businesses need to show more interest and invest in MES systems in the digitalization process. This study covers basic information about MES, standards and communication protocols related to the systems; and also, with the Total Equipment Effectiveness (OEE) analysis carried out in a sample company, improvement areas for efficiency increase, causes of production losses and solution suggestions are revealed. The findings are aimed to raise awareness and contribute to future academic research and industrial applications.
Keywords
Manufacturing Execution Systems Digital Transformation Production Efficiency Communication Protokols Overall Equipment Effectiveness
References
- A. Schmidt, B. Otto, and H. Österle, "A Functional Reference Model for Manufacturing Execution Systems in the Automotive Industry," in Wirtschaftinformatik, 2011, p. Paper 89.
- Arica, E., & Powell, D. J. (2017, December). Status and future of manufacturing execution systems. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 2000-2004). IEEE.
- Barkmeyer, E., Denno, P., Feng, S., Jones, A., and Wallace, E. (1999). NIST response to MES request for information. NIST Response to RFI-3 MES Models, pages 2–4.
- Bokrantz, J., Subramaniyan, M., & Skoogh, A. (2024). Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM. Production Planning & Control, 35(16), 2234-2254.
- Brodny, J. and M. Tutak. 2019. Analysing the utilisation eff ectiveness of mining machines using independent data acquisition systems: A case study. Energies 12(13).
- Caiza, G.; Sanz, R. An Immersive Digital Twin Applied to a Manufacturing Execution System for the Monitoring and Control of Industry 4.0 Processes. Appl. Sci. 2024, 14, 4125.
- Chen, X., & Voigt, T. (2020). Implementation of the Manufacturing Execution System in the food and beverage industry. Journal of Food Engineering, 278, 109932.
- Erkan M. (2007). Bilgisayar destekli veri toplama sisteminin dokuma makinelerinde uygulanması. Yüksek Lisans Tezi. Uludağ Üniversitesi.
- EtherCAT Technology Group. (2025). Technology. [Online]. Erişim: https://www.ethercat.org/en/technology.html.
- Feld, J. PROFINET-scalable factory communication for all applications. In Proceedings of the IEEE International Workshop on Factory Communication Systems, Vienna, Austria, 22–24 September 2004.
- Gendre, Y., Waridel, G., Guyon, M., Demuth, J. F., Guelpa, H., & Humbert, T. (2016). Manufacturing execution systems: Examples of performance indicator and operational robustness tools. Chimia, 70, 616–620.
- Halıcı, C, M. (2022). Kurumsal kaynak planlama sistemleri ile üretim yürütme sistemlerinin entegrasyonu: Makine imalat sektöründe bir uygulama. Yüksek lisans tezi, Konya Teknik Üniversitesi.
- Igbokwe, N. C., & Godwin, H. C. (2021). Maintenance performance evaluation and downtime analysis of manufacturing equipment in a food manufacturing company. Journal of Engineering Research and Reports, 100-107.
- International Society of Automation (ISA). (2025). ISA-95 Standard. [Online]. Erişim: https://www.isa.org/standards-and-publications/isa-standards/isa-95-standard.
- Kletti, J. (2007). Manufacturing Execution System – MES. Germany: Springer, 28-29 33-34 pp.
- Kocabay, İ. V. (2019). Dijital ikizler gömülü gerçek zamanlı üretim yürütme sistemi tasarımı: kitlesel özelleştirme ile üretim yapan bir firmada uygulama. Yüksek lisans tezi, Hacettepe Üniversitesi.
- Kraijak, S., & Tuwanut, P. (2015, October). A survey on internet of things architecture, protocols, possible applications, security, privacy, real-world implementation and future trends. In Communication Technology (ICCT), 2015 IEEE 16th International Conference on (pp. 26-31). IEEE.
- Krutz, R. L. (2005). Securing SCADA Systems. Indianapolis: Wiley.
- Liao, P. Y., Gong, D. C., & Zeng, Z. (2024). Enhancing Order Fulfillment Through Production Process Reengineering Using Manufacturing Execution System as a Reference Model. IEEE Access.
- Mantravadi S, Moller C. An overview of next-generation manufacturing execution systems: how important is MES for industry 4.0. 14th Glob Congr Manuf Manag (GCMM) 2019:588–95.
- Mohamed, M.M. and Alraddadi, A.S. (2024) Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP BackEnd Integration: Ready-Made Garments as a Case Study. American Journal of Operations Research, 14, 137-150.
- Nakajima S., Introduction to TPM, productivity press, Portland , 1988.
- ProManage. (2025). MES, MES 1.1, CMES, ISA-95, NAMUR – Why are there so many standards?. [Online]. Erişim: https://promanagecloud.com/mes-mes-11-cmes-isa-95-namur-why-are-there-so-many-standards/.
- Rathi, S. S., Sahu, M. K., & Kumar, S. 2023. Implementation of total productive maintenance to improve productivity of rolling mill. Indian Journal of Engineering and Materials Sciences, 30(6): 882-890.
- Sarp, G. M. (2022). MES & MOM Satın Alma Rehberi. [Online]. Erişim: http://theprowess.net/documents/mes_satin_alma_rehberi(buyuk).pdf.
- Shin, S. U., Lee, H. M., & Park, S. H. (2023). Research on Precision Processing Production System based on Manufacturing Execution System. Journal of Digital Policy, 2(4), 17-23.
- Vadı, S., Guler, N., & Bayındır, R. (2014). Endüstriyel Alanlarda Kullanılan Veri İletim Tekniklerinin Karşılaştırılması. Gazi University Journal of Science Part C: Design and Technology, 2(1), 181-188.
- Yetişken, F. M. (2010). Elektrik sayaçlarının uzaktan okuma teknikleri ve prototip geliştirilmesi, Yüksek Lisans Tezi, Sakarya Üniversitesi.
- Yılmaz C, Üncü İS. (2006). Profıbus-Dp ağ tabanlı bina otomasyonu tasarımı. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 11(2), 161-166.
- Qiu, X., H. Luo, G. Xu, R. Zhong and G. Q. Huang (2015). Physical assets and service sharing for IoT-enabled Supply Hub in Industrial Park (SHIP). International Journal of Production Economics, 159, 4-15.
- Qu T, Lei SP, Chen YD, Wang ZZ, Luo H, Huang GQ (2014) Internet-of-Things-enabled Smart Production Logistics Execution System Based on Cloud Manufacturing. In: Proceedings of ASME 2014 Conference on Manufacturing Science and Engineering Conference.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Mechanical Engineering (Other) |
| Journal Section | Research Articles |
| Authors | |
| Publication Date | June 22, 2025 |
| Submission Date | April 14, 2025 |
| Acceptance Date | May 16, 2025 |
| Published in Issue | Year 2025 Volume: 3 Issue: 1 |
