The transformation process of enterprise resource planning software into intelligent enterprise resource planning software: The case of robotic process automation

Yıl 2023, Cilt: 6 Sayı: 3, 304 - 313, 30.11.2023

Hakan Aşan

https://doi.org/10.58308/bemarej.1361416

Cited By: 1

Öz

Businesses almost entirely organize their processes with Enterprise Resource Planning (ERP) software. ERP software, which emerged from Material Requirements Planning (MRP) systems, has evolved into a wide-ranging solution within organizations to meet their needs. With the influence of new technologies, ERP software has taken on a different dimension. Technologies such as artificial intelligence, machine learning, Internet of Things (IoT), augmented reality, and virtual reality have introduced a new perspective to ERP, adding value to it. This new structure is referred to as i-ERP (intelligent Enterprise Resource Planning) due to the values it brings to ERP.
This study delves into the transformation process of ERP into i-ERP. Specifically, it focuses on one aspect of i-ERP, which is Robotic Process Automation (RPA), as it relates to the sales process, proposing a model. With the developed model, it becomes possible to control and manage payment terms provided by the customer during the order process. The system operates automatically without requiring user intervention, preventing errors that may arise from various reasons.

Anahtar Kelimeler

Intelligent Enterprise Resource Planning, Intelligent ERP, I-ERP, Robotic Process Automation (RPA), Sales Process

Kurumsal kaynak planlama yazılımlarının akıllı kurumsal kaynak planlama yazılımlarına dönüşüm süreci: Robotik süreç otomasyonu örneği

Öz

İşletmeler iş süreçlerinin neredeyse tümünü kurumsal kaynak planlama (KKP-ERP) yazılımları ile organize etmektedirler. Malzeme ihtiyaç planlama sistemleri ile ortaya çıkan KKP yazılımları, ihtiyaçlar doğrultusunda işletme içinde çok geniş bir alanı kapsayan günümüzdeki haline ulaşmıştır. KKP yazılımları yeni teknolojilerin etkisiyle artık farklı bir boyut kazanmıştır. Yapay zekâ, makine öğrenmesi, akıllı nesneler, artırılmış gerçeklik ve sanal gerçeklik gibi teknolojiler KKP için farklı bir bakış açısı ortaya çıkarmıştır. Bu yeni yapıya KKP ya kazandırdığı değerler nedeniyle a-KKP (akıllı kurumsal kaynak planlama) ismi verilmektedir. Yaygın olarak a-ERP (akıllı ERP) olarak da isimlendirilmektedir.
Bu çalışmada KKP’nin a-KKP’ya evrilme sürecine değinilmiştir. Firmaların önemli süreçlerinden satış sürecine yönelik a-KKP’nin boyutlarından birisi olan robotik süreç otomasyonu (RSO) ile bir model önerilmiştir. Geliştirilen model ile sipariş sırasında müşteri tarafından verilen ödeme vadesi bilgisi ile yapılan ödeme vadesinin kontrolü ve düzenlenmesi yapılabilmektedir. Sistem bir kullanıcıya ihtiyaç duymadan otomatik olarak hareket etmekte ve çeşitli nedenlerden oluşan hataların önüne geçmektedir.

Anahtar Kelimeler

Akıllı Kurumsal Kaynak Planlama, Akıllı ERP, A-KKP, Robotik Süreç Otomasyonu (RSO), Satış Süreci

Kaynakça

• Agostinelli, S., Marrella, A., & Mecella, M. (2021). Exploring the challenge of automated segmentation in robotic process automation. In: Cherfi, S., Perini, A., Nurcan, S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. doi: 10.1007/978-3-030-75018-3_3
• Al-Mobaideen, H. (2014). The impact of change management on the application enterprise resource planning system (ERP) effectiveness: Field study in Jordan bromine company. Journal of Management Research, 6(4), 79-98. doi: 10.5296/jmr.v6i4.6137
• Andersson, B. (2022). An assessment of the effects of enterprise resource planning adoption in SMEs. Journal of Enterprise and Business Intelligence, 2(2), 66-76. doi: 10.53759/5181/jebi202202008
• Biel, J. (2021). 60 Critical ERP Statistics: 2021 Market Trends, Data and Analysis | NetSuite. https: //www.netsuite.com/portal/resource/articles/erp/erp-statistics.shtml, (05.03.2022)
• Chen, S., & Lin, Y. (2008). An evaluation method for enterprise resource planning systems. Journal of the Operations Research Society of Japan, 51(4), 299-309. doi: 10.15807/jorsj.51.299
• Chugh, R., Macht, S., & Hossain, R. (2022). Robotic process automation: A review of organizational grey literature. International Journal of Information Systems and Project Management, 10(1), 5-26. doi: 10.12821/ijispm100101
• Corrêa, P., Quille, R., Bedoya, J., Almeida, G., Filgueiras, L., Demuner, V., … & Mollica, D. (2021). Development of intelligent robotic process automation: A utility case study in Brazil. Ieee Access, 9, 71222-71235. doi: 10.1109/access.2021.3075693
• Dauth, W., Findeisen, S., Suedekum, J., & Woessner, N. (2018). Adjusting to robots: Worker-level evidence. doi: 10.21034/iwp.13
• Fouad, R., Samhouri, M., & Qamar, A. (2012). An intelligent preventive maintenance scheduling in ERP systems: A fuzzy logic approach. International Journal of Advancements in Computing Technology, 23(4), 651-661. doi: 10.4156/ijact.vol4.issue23.78
• Hendricks, K., Singhal, V., & Stratman, J. (2006). The impact of enterprise systems on corporate performance: A study of ERP, SCM, and CRM system implementations. Journal of Operations Management, 1(25), 65-82. doi: 10.1016/j.jom.2006.02.002
• Hindel, J., Cabrera, L. M., & Stierle, M. (2020). Robotic process automation: Hype or hope?., Wirtschaftsinformatik, 1750-1762. doi: 10.30844/wi_2020_r6-hindel
• Itoh, H., Okamoto, T., Fukumoto, H., & Wakuya, H. (2022). An electroadhesive paper gripper with application to a document-sorting robot. Ieee Access, 10, 113598-113609. doi: 10.1109/access.2022.3217805
• J. Albarakati, A. (2015). An overview of implementation of enterprise resource planning. International Journal of Applied Information Systems, 8(7), 15-19. doi: 10.5120/ijais15-451346
• Kulikov, I., Semin, A., Skvortsov, E., Ziablitckaia, N., & Skvortsova, E. (2020). Challenges of enterprise resource planning (ERP) implementation in agriculture. Journal of Entrepreneurship and Sustainability Issues, 7(3), 1847-1857. doi: 10.9770/jesi.2020.7.3(27)
• Makori, E. O., & Osebe, N. M. (2016). Koha enterprise resource planning system and its potential impact on information management organizations. Library Hi Tech News, 33(4), 17-23.
• OnvisionAI. (2022). Invoice Extraction, https://onvision.ai/products/invoice- extraction/ (22.03.2022).
• Pamungkas, C., & Iskandar, D. (2020). Open source based enterprise resource planning. Jurnal Aksi (Akuntansi Dan Sistem Informasi), 6(1), 66-71. doi: 10.32486/aksi.v6i1.12
• Pramanto, F., Oktora, E., Ramlan, R., Drajat, M., & Nasullah, I. (2021). ERP software selection strategy using analytic hierarchy process (AHP) case study: PT gramedia printing. Bit-Tech, 4(2), 40-46. doi: 10.32877/bt.v4i2.286
• Research Allied Market. (2021). Global ERP market is expected to reach $86.30 billion by. https://www.globenewswire.com/newsrelease/2021/06/24/2252693/0/en/Global-ERP-Market-Is-Expected-to-Reach-86-30-Billion-by-2027-Says-AMR.html, (17.03.2022)
• Silva, U. A. D. C. (2020). Intelligent ERPS: A guide to incorporate artificial intelligence into enterprise resource planning systems. (Doctoral dissertation). NOVA Information Management School (NIMS), Portugal.
• Schmitz, A. (2017). What is SAP Leonardo?. https://news.sap.com/2017/07/what-is-sap-leonardo-2/, (15.01.2022)
• Sobczak, A. (2021). Robotic process automation implementation, deployment approaches and success factors – an empirical study. Journal of Entrepreneurship and Sustainability Issues, 8(4), 122-147. doi: 10.9770/jesi.2021.8.4(7)
• Tuomi, A., Tussyadiah, I., & Stienmetz, J. (2020). Applications and implications of service robots in hospitality. Cornell Hospitality Quarterly, 62(2), 232-247. doi: 10.1177/1938965520923961
• Wang, C., Xu, L., Liu, X., & Qin, X. (2005). ERP research, development and implementation in China: an overview. International Journal of Production Research, 43(18), 3915-3932.