Kurumsal Kaynak Planlamasının Evrimi: Gelenekselden Akıllı ERP Sistemlerine Kavramsal Bir Çerçeve
Yıl 2024,
Cilt: 5 Sayı: 2, 89 - 99
Ceyda Ünal
,
Cihan Çılgın
,
Yılmaz Gökşen
Öz
1990’lı yıllarda ortaya çıkan ERP yaklaşımı, günümüzde yerini kendi verisini üreten ve bu verileri yapay zekâ yaklaşımını kullanarak analiz edebilen bir yapıya bırakmıştır. Bu durum da ERP sistemlerinin akıllılık boyutunda incelenmesi gerekliliğini ortaya çıkarmıştır. Bir başka ifadeyle, akıllı ERP; içerdiği veriyi yönetirken kendi verisini de üretmeye başlayan ve bunları yapay zekâ teknikleriyle birleştiren bir karar mekanizmasını oluşturmuştur. Akıllı ERP’nin ortaya koyduğu kayıtların/verilerin yönetilmesi, karara döndürülebilmesi ve rasyonel anlamda modernize edilmesi boyutunda istatistiksel analiz, iş zekâsı ve yapay zekâ bu aşamadaki temel bakış açılarıdır. Bu çalışmanın amacı, mevcut literatür kapsamında, ERP yolculuğunu ele alıp, yapay zekânın ERP sistemlerine entegrasyonu sonucu doğan akıllı ERP kavramını incelemektir. Yeni nesil ERP olarak da adlandırılan bu yaklaşım; makine öğrenmesi algoritmaları ve analitik araçlar tarafından yönlendirildiğinden dolayı, otomasyon sürecini kolay ve hızlı hale getirerek işletmelerin performans ve rekabet gücünü artırma potansiyeli taşımaktadır.
Kaynakça
- Ahmed, Z. H. (2010). Genetic algorithm for the traveling salesman problem using sequential constructive crossover operator. International Journal of Biometrics & Bioinformatics (IJBB), 3(6), 96.
- Algarni, M., & Alsanad, A. (2018). Cloud Computing and ERP: An Academic Literature Review (2010-2015). UK Academy for Information Systems Conference Proceedings.
- Anguelov, K. (2021). Applications of Artificial Intelligence for Optimization of Business Processes in Enterprise Resource Planning Systems. 12th National conference with International Participation (ELECTRONICA) (ss. 1-4). IEEE.
- Antoniadis, I., Tsiakiris, T., & Tsopogloy, S. (2015). Business Intelligence during times of crisis: Adoption and usage of ERP systems by SMEs. Procedia-Social and Behavioral Sciences, 175, 299-307.
- Bayraktar, E. & Mehmet, E. (2006). Kurumsal Kaynak Planlaması (ERP) ve Yazılım Seçim Süreci. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (15), 689-709.
- Chakraborty, P. (2018). Future Belongs to Intelligent Enterprise Apps: Veera Swamy Arava, SAT Infotech. Athena Information Solutions Pvt. Ltd. 1-3.
- Çetinkaya, Ş. (2015). Stochastic mortality using non – life methods. (Yayımlanmamış doktora tezi). Doğuş Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul
- Dauvergne, P. (2022). Is Artificial Intelligence Greening Global Supply Chains? Exposing the Political Economy of Environmental Costs. Review of International Political Economy, 29(3), 696-718.
- Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
- Eliáš, A. (2017). Three Challenges of Digital Transformations for Vendors of ERP Systems for SMBs. Proceedings of the 20th International Conference on Information Technology for Practice (ss. 47-51).
- Gadallah, M. H., & Elmaraghy, H. A. (1993). A concurrent engineering approach to robust product design. Concurrent Engineering, 1(4), 237-251.
- Gartner. (2018). Intelligent ERP Defined: New Strategies for Success in a Changing Market. https://www.gartner.com/smarterwithgartner/intelligent-erp-defined-new-strategies-for-success-in-a-changing-market/. Erişim Tarihi: 01.08.2023.
- Godbole, M. V. (2023). Revolutionizing Enterprise Resource Planning (ERP) Systems through Artificial Intelligence. International Numeric Journal of Machine Learning and Robots, 7(7), 1-15.
- Godbole, M., & Josyula, H. P. (2024). Navigating the Future: A Comprehensive Analysis of AI, ML, ERP, and Oracle Integration in Financial Digital Transformation. International Journal of Computer Engineering and Technology, 15.
- Goundar, S., Nayyar, A., Maharaj, M., Ratnam, K., & Prasad, S. (2021). How artificial intelligence is transforming the ERP systems. Enterprise systems and technological convergence: Research and practice, 85.
- Grand View Research (2022) "Enterprise Resource Planning (ERP) Market Size, Share & Trends Analysis Report By Deployment, By Function, By Vertical, By Region, And Segment Forecasts, 2022-2030 https://www.grandviewresearch.com/industryanalysis/enterprise-resource-planning-erp-market
- Gökşen, Y., Ünal, C. & Tuna, H. (2020). Döngüsel Ekonomi ve Endüstri 4.0 Odağında Dijitalleşmenin Rolü. F. Sayın (Ed.), Döngüsel Ekonomi Makro ve Mikro İncelemeler içinde (ss. 387-412). Ankara: Nobel Akademik Yayıncılık.
- Gür, Y. E., Ayden, C., & Yücel, A. (2019). AI alanindaki gelişmelerin insan kaynakları yönetimine etkisi. Fırat Üniversitesi Uluslararası İktisadi ve İdari Bilimler Dergisi, 3(2), 137-158.
- Haider, L. (2021). Artificial intelligence in ERP. Metropolia University of Applied Sciences (Bachelor’s Thesis).
- Halivaara,M. (2023). Adoption of AI-Enhanced ERP Exploring Applications, Requirements, and SME Readiness. (Master of Science Thesis).
- Hanene, L., Noureddine M., Mostafa, D. & Imane, L. (2023, Kasım). Application of Artificial Intelligence in ERP System’s Fulfillment of the Purchasing Function. 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA) (ss. 1-6). IEEE Xplore
Hrischev, R., & Shakev, N. (2022). Artificial Intelligence in ERP Systems. Engineering Sciences,(1),3-15.
- Ivanović, T., & Marić, M. (2021). Application of modern Enterprise Resource Planning (ERP) systems in the era of digital transformation. Strategic Management, 26(4), 28-36. Jenab, K., Staub, S., Moslehpour, S., & Wu, C. (2019). Company performance improvement by quality based intelligent-ERP. Decision Science Letters, 8(2), 151-162.
- Kunduru, A. R. (2023). Effective Usage of Artificial Intelligence in Enterprise Resource Planning Applications. International Journal of Computer Trends and Technology, 71(4), 73-80.
- Moll, J., & Yigitbasioglu, O. (2019). The role of internetrelated technologies in shaping the work of accountants: New directions for accounting research. The British Accounting Review, 51(6), 100833.
- Morris, H. D., Mahowald, R. P., Jimenez, D. Z., Stratis, A., Rizza, M. N., Hayward, D. & Motai, Y. (2016). i-ERP (intelligent ERP): The new backbone for digital transformation. Industry Development and Models.
- Nabiyev, V. V. (2016). AI. Ankara: Seçkin Yayıncılık.
- Oğuz, G., & Ağtaş, E. (2024) Kurumsal Kaynak Planlanlama (Erp) Sistemlerinde AI Kullanımı. Stratejik ve Sosyal Araştırmalar Dergisi, 8(2), 343-358.
- Paschek, D., Luminosu, C. T., & Draghici, A. (2017). Automated business process management–in times of digital transformation using machine learning or artificial intelligence. MATEC web of conferences (Vol. 121, p. 04007). EDP Sciences.
Pettey, C. Gartner Predicts 2025: ERP Cloud https://www.gartner.com/smarterwithgartner/gartner-predicts-2025-erp-cloud-migrations-proliferate
- Rashid, M. A., Hossain, L. ve Patrick, J. D. (2002). The Evolution of ERP Systems: A Historical Perspective. Hossain, L., Patrick, J. D. & Rashid, M. A. (Eds.), Enterprise Resource Planning: Global Opportunities and Challenges (ss. 1-16). IGI Global. http://doi:10.4018/978-1-931777-06-3.ch001
- Rikkula, H. K. R. (2024). The Future of ERP Integrations: A Look at Emerging Technologies. International Research Journal of Engineering and Technology (IRJET), 11(7). 539-545
Rojek, I. ve Jagodziński, M. (2012). Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II 7 (pp. 229-240). Springer Berlin Heidelberg.
- Silva, U. A. D. C. (2020). Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems (Doktora tezi).
- Thompson, L. (2017). AI-driven User Experiences in ERP: Enhancing Customer Satisfaction. Journal of Business Innovation, 12(2), 75-89.
- Ünal, C., Özkan, B. & Özdemir, Ş. (2022). İşletme Yönetiminde AI. İ. Güleryüz (Ed.), Dijitalleşme ve Yönetim içinde (ss. 237-262). Ankara: Nobel Akademik Yayıncılık.
- Vlachos, I. (2021). Implementation of an intelligent supply chain control tower: a socio-technical systems case study. Production Planning & Control, 1-17.
- Woollacott, E. (2019). Intelligent ERP: The foundation of digital transformation.
Zeba, G., Lucić, J., & Čičak, M. (2019). ERP systems in croatian enterprises and industry 4.0. Industry 4.0, 4(6), 313-316.
A FRAMEWORK FROM TRADITIONAL TO MODERN ERP: INTELLIGENT ERP SYSTEMS
Yıl 2024,
Cilt: 5 Sayı: 2, 89 - 99
Ceyda Ünal
,
Cihan Çılgın
,
Yılmaz Gökşen
Öz
The ERP approach, which emerged in the 1990s, has now been replaced by a structure that produces its own data and analyze these data using AI approach. This situation has revealed the necessity of examining ERP systems in terms of intelligence. Intelligent ERP has created a decision mechanism that starts to generate its own data while managing the data it contains and combines them with AI techniques. Statistical analysis, BI and AI are the main perspectives at this stage for decision-makers. The aim of this paper is to examine the ERP in terms of the existing literature and to examine the concept of intelligent ERP born because of the integration of AI into ERP systems. This approach, also called next generation ERP, has the potential to increase the performance and competitiveness of businesses by making the automation process easier/faster, as it is driven by machine learning algorithms and analytical tools.
Kaynakça
- Ahmed, Z. H. (2010). Genetic algorithm for the traveling salesman problem using sequential constructive crossover operator. International Journal of Biometrics & Bioinformatics (IJBB), 3(6), 96.
- Algarni, M., & Alsanad, A. (2018). Cloud Computing and ERP: An Academic Literature Review (2010-2015). UK Academy for Information Systems Conference Proceedings.
- Anguelov, K. (2021). Applications of Artificial Intelligence for Optimization of Business Processes in Enterprise Resource Planning Systems. 12th National conference with International Participation (ELECTRONICA) (ss. 1-4). IEEE.
- Antoniadis, I., Tsiakiris, T., & Tsopogloy, S. (2015). Business Intelligence during times of crisis: Adoption and usage of ERP systems by SMEs. Procedia-Social and Behavioral Sciences, 175, 299-307.
- Bayraktar, E. & Mehmet, E. (2006). Kurumsal Kaynak Planlaması (ERP) ve Yazılım Seçim Süreci. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (15), 689-709.
- Chakraborty, P. (2018). Future Belongs to Intelligent Enterprise Apps: Veera Swamy Arava, SAT Infotech. Athena Information Solutions Pvt. Ltd. 1-3.
- Çetinkaya, Ş. (2015). Stochastic mortality using non – life methods. (Yayımlanmamış doktora tezi). Doğuş Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul
- Dauvergne, P. (2022). Is Artificial Intelligence Greening Global Supply Chains? Exposing the Political Economy of Environmental Costs. Review of International Political Economy, 29(3), 696-718.
- Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard business review, 96(1), 108-116.
- Eliáš, A. (2017). Three Challenges of Digital Transformations for Vendors of ERP Systems for SMBs. Proceedings of the 20th International Conference on Information Technology for Practice (ss. 47-51).
- Gadallah, M. H., & Elmaraghy, H. A. (1993). A concurrent engineering approach to robust product design. Concurrent Engineering, 1(4), 237-251.
- Gartner. (2018). Intelligent ERP Defined: New Strategies for Success in a Changing Market. https://www.gartner.com/smarterwithgartner/intelligent-erp-defined-new-strategies-for-success-in-a-changing-market/. Erişim Tarihi: 01.08.2023.
- Godbole, M. V. (2023). Revolutionizing Enterprise Resource Planning (ERP) Systems through Artificial Intelligence. International Numeric Journal of Machine Learning and Robots, 7(7), 1-15.
- Godbole, M., & Josyula, H. P. (2024). Navigating the Future: A Comprehensive Analysis of AI, ML, ERP, and Oracle Integration in Financial Digital Transformation. International Journal of Computer Engineering and Technology, 15.
- Goundar, S., Nayyar, A., Maharaj, M., Ratnam, K., & Prasad, S. (2021). How artificial intelligence is transforming the ERP systems. Enterprise systems and technological convergence: Research and practice, 85.
- Grand View Research (2022) "Enterprise Resource Planning (ERP) Market Size, Share & Trends Analysis Report By Deployment, By Function, By Vertical, By Region, And Segment Forecasts, 2022-2030 https://www.grandviewresearch.com/industryanalysis/enterprise-resource-planning-erp-market
- Gökşen, Y., Ünal, C. & Tuna, H. (2020). Döngüsel Ekonomi ve Endüstri 4.0 Odağında Dijitalleşmenin Rolü. F. Sayın (Ed.), Döngüsel Ekonomi Makro ve Mikro İncelemeler içinde (ss. 387-412). Ankara: Nobel Akademik Yayıncılık.
- Gür, Y. E., Ayden, C., & Yücel, A. (2019). AI alanindaki gelişmelerin insan kaynakları yönetimine etkisi. Fırat Üniversitesi Uluslararası İktisadi ve İdari Bilimler Dergisi, 3(2), 137-158.
- Haider, L. (2021). Artificial intelligence in ERP. Metropolia University of Applied Sciences (Bachelor’s Thesis).
- Halivaara,M. (2023). Adoption of AI-Enhanced ERP Exploring Applications, Requirements, and SME Readiness. (Master of Science Thesis).
- Hanene, L., Noureddine M., Mostafa, D. & Imane, L. (2023, Kasım). Application of Artificial Intelligence in ERP System’s Fulfillment of the Purchasing Function. 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA) (ss. 1-6). IEEE Xplore
Hrischev, R., & Shakev, N. (2022). Artificial Intelligence in ERP Systems. Engineering Sciences,(1),3-15.
- Ivanović, T., & Marić, M. (2021). Application of modern Enterprise Resource Planning (ERP) systems in the era of digital transformation. Strategic Management, 26(4), 28-36. Jenab, K., Staub, S., Moslehpour, S., & Wu, C. (2019). Company performance improvement by quality based intelligent-ERP. Decision Science Letters, 8(2), 151-162.
- Kunduru, A. R. (2023). Effective Usage of Artificial Intelligence in Enterprise Resource Planning Applications. International Journal of Computer Trends and Technology, 71(4), 73-80.
- Moll, J., & Yigitbasioglu, O. (2019). The role of internetrelated technologies in shaping the work of accountants: New directions for accounting research. The British Accounting Review, 51(6), 100833.
- Morris, H. D., Mahowald, R. P., Jimenez, D. Z., Stratis, A., Rizza, M. N., Hayward, D. & Motai, Y. (2016). i-ERP (intelligent ERP): The new backbone for digital transformation. Industry Development and Models.
- Nabiyev, V. V. (2016). AI. Ankara: Seçkin Yayıncılık.
- Oğuz, G., & Ağtaş, E. (2024) Kurumsal Kaynak Planlanlama (Erp) Sistemlerinde AI Kullanımı. Stratejik ve Sosyal Araştırmalar Dergisi, 8(2), 343-358.
- Paschek, D., Luminosu, C. T., & Draghici, A. (2017). Automated business process management–in times of digital transformation using machine learning or artificial intelligence. MATEC web of conferences (Vol. 121, p. 04007). EDP Sciences.
Pettey, C. Gartner Predicts 2025: ERP Cloud https://www.gartner.com/smarterwithgartner/gartner-predicts-2025-erp-cloud-migrations-proliferate
- Rashid, M. A., Hossain, L. ve Patrick, J. D. (2002). The Evolution of ERP Systems: A Historical Perspective. Hossain, L., Patrick, J. D. & Rashid, M. A. (Eds.), Enterprise Resource Planning: Global Opportunities and Challenges (ss. 1-16). IGI Global. http://doi:10.4018/978-1-931777-06-3.ch001
- Rikkula, H. K. R. (2024). The Future of ERP Integrations: A Look at Emerging Technologies. International Research Journal of Engineering and Technology (IRJET), 11(7). 539-545
Rojek, I. ve Jagodziński, M. (2012). Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II 7 (pp. 229-240). Springer Berlin Heidelberg.
- Silva, U. A. D. C. (2020). Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems (Doktora tezi).
- Thompson, L. (2017). AI-driven User Experiences in ERP: Enhancing Customer Satisfaction. Journal of Business Innovation, 12(2), 75-89.
- Ünal, C., Özkan, B. & Özdemir, Ş. (2022). İşletme Yönetiminde AI. İ. Güleryüz (Ed.), Dijitalleşme ve Yönetim içinde (ss. 237-262). Ankara: Nobel Akademik Yayıncılık.
- Vlachos, I. (2021). Implementation of an intelligent supply chain control tower: a socio-technical systems case study. Production Planning & Control, 1-17.
- Woollacott, E. (2019). Intelligent ERP: The foundation of digital transformation.
Zeba, G., Lucić, J., & Čičak, M. (2019). ERP systems in croatian enterprises and industry 4.0. Industry 4.0, 4(6), 313-316.