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Bulanık Çok Kriterli Karar Verme Yöntemleri ile ERP Yazılım Programı Seçimi

Year 2025, Volume: 9 Issue: 2, 357 - 373, 30.05.2025

Ayşe Kübra Kanmaz , İrfan Ertuğrul

https://doi.org/10.29023/alanyaakademik.1474663

Abstract

Kurumsal Kaynak Planlama (ERP) sistemleri, işletmelerin başarısında belirleyici rol oynayan temel unsurlardan biridir. Bu çalışmanın amacı, işletmelerin ERP yazılımı seçerken ISO/IEC 25010 yazılım kalite standartları çerçevesinde hangi kriterleri öncelikli olarak değerlendirdiğini ve buna göre hangi ERP yazılımını tercih ettiğini belirlemektir. Araştırmada, ERP yazılımı seçim sürecinde belirleyici olan kriterler bulanık SWARA yöntemi ile ağırlıklandırılmış ve bu kriterler bulanık CoCoSo yöntemiyle analiz edilmiştir. Elde edilen bulgular, işletmelerin ERP yazılımı seçiminde en önemli kriterlerin fonksiyonel uygunluk, güvenilirlik ve kullanılabilirlik olduğunu ortaya koymaktadır. Değerlendirmeler sonucunda, Türkiye'de yaygın olarak kullanılan beş ERP yazılımı arasından DİA ve SAP en uygun seçenekler olarak belirlenmiştir. Bu bulgular, işletmelerin ERP yazılımı seçiminde stratejik önceliklerini doğru belirlemelerinin ne kadar önemli olduğunu vurgulamaktadır.

Keywords

Kurumsal Kaynak Planlama (ERP) Bulanık SWARA Bulanık CoCoSo Yapay Zekâ

References

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ERP Software Program Selection with Fuzzy Multi-Criteria Decision Making Methods

Year 2025, Volume: 9 Issue: 2, 357 - 373, 30.05.2025

Ayşe Kübra Kanmaz , İrfan Ertuğrul

https://doi.org/10.29023/alanyaakademik.1474663

Abstract

Enterprise Resource Planning (ERP) systems are fundamental elements that play a decisive role in the success of businesses. The aim of this study is to identify which criteria businesses prioritize when selecting ERP software within the framework of ISO/IEC 25010 software quality standards, and accordingly, which ERP software they prefer. In the research, the criteria that are decisive in the ERP software selection process were weighted using the fuzzy SWARA method, and these criteria were analyzed using the fuzzy CoCoSo method. The findings reveal that the most important criteria for businesses in ERP software selection are functional suitability, reliability, and usability. As a result of the evaluations, DİA and SAP have been identified as the most suitable options among the five ERP software commonly used in Turkey. These findings emphasize how important it is for businesses to correctly determine their strategic priorities when selecting ERP software.

Keywords

Enterprise Resource Planning (ERP) Fuzzy SWARA Fuzzy CoCoSo Artificial Intelligence

References

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  • Ansari, Z. N., Kant, R., & Shankar, R. (2020). Evaluation and ranking of solutions to mitigate sustainable remanufacturing supply chain risks: A hybrid fuzzy SWARA–fuzzy COPRAS framework approach. International Journal of Sustainable Engineering, 13(6), 473–494. https://doi.org/10.1080/19397038.2020.1758973
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  • Ayçin, E. (2020). Çok kriterli karar verme, bilgisayar uygulamalı çözümler. Nobel Kitabevi.
  • Brzozowski, M., & Birfer, I. (2017). Applications of MCDM methods in the ERP system selection process in enterprises. Handel Wewnętrzny, 3(368), 40–52.
  • Bueno, S., & Salmeron, J. L. (2008). Fuzzy modeling enterprise resource planning tool selection. Computer Standards & Interfaces, 30(3), 137–147. https://doi.org/10.1016/j.csi.2007.08.001
  • Chang, M. K., Cheung, W., Cheng, C. H., & Yeung, H. Y. J. (2008). Understanding ERP system adoption from the user’s perspective. International Journal of Production Economics, 113(1), 928–942. https://doi.org/10.1016/j.ijpe.2007.08.011
  • Chen, I. J. (2001). Planning for ERP systems: Analysis and future trend. Business Process Management Journal, 7(5), 374–386. https://doi.org/10.1108/14637150110406768
  • Çakır, E. (2016). Kentsel dönüşüm kapsamında müteahhit (yüklenici) firmanın bütünleşik SWARA-VIKOR yöntemiyle seçilmesi. In Proceedings of XVII. International Symposium on Econometrics, Operations Research and Statistics (pp. 881–896).
  • De La Paz, J. V. B. (2023). An approach to select an open-source ERP for SMEs based on Industry 4.0 and digitization considering the SHERPA and WASPAS methods. In Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems (pp. 123–143). Springer International Publishing.
  • Demir, G., Damjanović, M., Matović, B., & Vujadinović, R. (2022). Toward sustainable urban mobility by using fuzzy-FUCOM and fuzzy-CoCoSo methods: The case of the SUMP Podgorica. Sustainability, 14(9), 5589. https://doi.org/10.3390/su14094972
  • Dweiri, F. T., & Kablan, M. M. (2006). Using fuzzy decision making for the evaluation of the project management internal efficiency. Decision Support Systems, 42(2), 712–726. https://doi.org/10.1016/j.dss.2005.04.001
  • Ecer, F. (2016). ARAS yöntemi kullanılarak kurumsal kaynak planlaması yazılımı seçimi. Uluslararası Alanya İşletme Fakültesi Dergisi, 8(1), 89–98.
  • Ecer, F., & Pamucar, D. (2020). Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model. Journal of Cleaner Production, 266, 121886. https://doi.org/10.1016/j.jclepro.2020.121981
  • Erdal, H., Kurtay, K. G., Dağıstanlı, H. A., & Altundaş, A. (2023). Evaluation of anti-tank guided missiles: An integrated fuzzy entropy and fuzzy Cocoso multi-criteria methodology using technical and simulation data. Applied Soft Computing, 137, 110623. https://doi.org/10.1016/j.asoc.2023.110145
  • Fernández-Portillo, L. A., Yazdaní, M., Estepa-Mohedano, L., & Sisto, R. (2023). Prioritisation of strategies for the adoption of organic agriculture using BWM and fuzzy Cocoso. Soft Computing, 27, 13871–13902.
  • Gürbüz, T., Alptekin, S. E., & Alptekin, G. I. (2021). A hybrid MCDM methodology for ERP selection problem with interacting criteria. Decision Support Systems, 54(1), 206–220. https://doi.org/10.1016/j.dss.2012.05.006
  • Hinduja, A., & Pandey, M. (2019). An integrated intuitionistic fuzzy MCDM approach to select cloud-based ERP system for SMEs. International Journal of Information Technology and Decision Making, 18, 1875–1908. https://doi.org/10.1142/S0219622019500378
  • İnal, A. A., & Avunduk, H. (2023). Iso 9001 kalite güvence sistemindeki 2015 revizyonunun yöneticilerin algılamaları üzerine etkisi. Journal of Business in The Digital Age, 6(Özel Sayı), 8-14. https://doi.org/10.46238/jobda.1258477
  • Jafarnejad, A., Ansari, M., Youshanlouei, H. R., & Mood, M. (2012). A hybrid MCDM approach for solving the ERP system selection problem with application to steel industry. International Journal of Enterprise Information Systems, 8, 54–73.
  • Karsak, E. E., & Özoğul, C. O. (2009). An integrated decision making approach for ERP system selection. Expert Systems with Applications, 36, 660–667. https://doi.org/10.1016/j.eswa.2007.09.016
  • Kaya, S. K., & Ergünel, N. (2020). Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment. Journal of Cleaner Production, 1–15. https://doi.org/10.1016/j.jclepro.2020.123880
  • Kazançoğlu, Y., & Burmaoğlu, S. (2013). ERP software selection with MCDM: Application of TODIM method. International Journal of Information Systems (IJBIS), 13(4), 435-452. https://doi.org/10.1504/IJBIS.2013.055300
  • Keçek, G., & Yıldırım, E. (2010). Kurumsal kaynak planlama (ERP) sisteminin analitik hiyerarşi süreci (AHP) ile seçimi: Otomotiv sektöründe bir uygulama. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(1), 193-211.
  • Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step‐wise weight assessment ratio analysis (SWARA). Journal of business economics and management, 11(2), 243-258.
  • Keskinkılıç, M., & İpkin, M. (2023). İşletmelerde ERP uygulamalarının dijital dönüşüm sürecine katkıları. Aurum Journal of Social Sciences, 8(1), 49-74.
  • Laï, H., Liao, H., Long, Y., & Zavadskas, E. K. (2022). A hesitant Fermatean fuzzy CoCoSo method for group decision-making and an application to blockchain platform evaluation. International Journal of Fuzzy Systems, 24(6), 2643-2661.
  • Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 91(5-8), 2401-2418.
  • Maruf, M., & Özdemir, K. (2021). Türkiye’deki ticari bankalara ait web sitelerinin performanslarının SWARA ve ARAS yöntemi ile sıralanması. OPUS International Journal of Society Researches, 18(Yönetim ve Organizasyon Özel Sayısı), 1514-1537. https://doi.org/10.26466/opus.888184
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  • Moon, Y. B. (2007). Enterprise resource planning (ERP): A review of the literature. International Journal of Management and Enterprise Development, 4(3), 235. https://doi.org/10.1504/IJMED.2007.012679
  • Narang, M., Joshi, M. C., Bisht, K., & Pal, A. (2022). Stock portfolio selection using a new decision-making approach based on the integration of fuzzy CoCoSo with Heronian mean operator. Decision Making: Applications in Management and Engineering, 5(1), 90-112.
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There are 60 citations in total.

Details

Primary Language Turkish
Subjects Operation
Journal Section Makaleler
Authors

Ayşe Kübra Kanmaz 0000-0002-6194-115X

İrfan Ertuğrul 0000-0002-5283-191X

Publication Date May 30, 2025
Submission Date April 27, 2024
Acceptance Date February 14, 2025
Published in Issue Year 2025 Volume: 9 Issue: 2

Cite

APA Kanmaz, A. K., & Ertuğrul, İ. (2025). Bulanık Çok Kriterli Karar Verme Yöntemleri ile ERP Yazılım Programı Seçimi. Alanya Akademik Bakış, 9(2), 357-373. https://doi.org/10.29023/alanyaakademik.1474663