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İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi

Year 2023, Volume: 16 Issue: 1, 87 - 93, 29.06.2023

Ozge Doguc Kevser Şahinbaş

https://doi.org/10.54525/tbbmd.1148779

Abstract

İş süreçlerinin otomasyonu, şirketler için hızlanma, standartlaşma ve süreç iyileştirme gibi kazanımlar sunar. Robotik süreç otomasyonu (RPA) son 5 yılda gerek kullanım kolaylığı gerekse hızlı entegrasyon sağlaması nedeniyle dünyada ve ülkemizde çok sayıda şirket tarafından kullanılmaya başladı. Şirketler RPA teknolojisine geçiş öncesinde belirli öncelikler ve kriterler doğrultusunda seçim yapmakta olmalarına rağmen, RPA’dan elde edilen sonuçlar çoğu zaman beklentileri karşılamamaktadır. Bunun temel nedenleri arasında, RPA teknolojisinin getirilerinin yanlış tanıtılması, RPA’nın hedef dışı alanlarda kullanılması gibi faktörler sayılabilir. Bu çalışma, AHP yöntemiyle, şirketlere RPA yazılımı seçimi için uygulamalı bir çerçeve sunmaktadır. Bu çalışmada, en popüler 4 RPA yazılımı ile uygulama yapılmış ve AHP ile bulunan sonuçlar yorumlanmıştır.

Keywords

İş süreci otomasyonu süreç yönetimi bilgi teknolojileri karar destek sistemleri AHP

References

  • [1] Datamatics, “Selecting the Right Processes for Robotic Process Automation,” Mumbai, India, Sep. 2018. Accessed: Jul. 24, 2022. [Online]. Available: https://www.datamatics.com/news-list/selecting-the-right-processes-for-robotic-process-automation
  • [2] J. L. Hindle, ROBOTIC PROCESS AUTOMATION: Benchmarking the Client Experience. Knowledge Capital Partners, 2018.
  • [3] L. P. Willcocks, M. Lacity, and A. Craig, “The IT function and robotic process automation,” 2015. [Online]. Available: https://EconPapers.repec.org/RePEc:ehl:lserod:64519
  • [4] P. S. Fersht, “The Robotic Process Automation market will reach 443 million this year,” 2017. [Online]. Available: https://www.horsesforsources.com/RPA-marketsize-HfS_061017
  • [5] Robotic Process Automation (RPA): Technology Vendor State of the Market Report. Everest Global, 2017.
  • [6] P. L. Willcocks and M. Lacity, Service Automation - Robots and The Future of Work, 1st ed., vol. 1. Ashford, United Kingdom: Steve Brookes Publishing, 2016.
  • [7] M. Lacity, L. Willcocks, and A. Craig, “Robotic Process Automation at Telefónica O2,” The Outsourcing Unit Working Research, 2015. Accessed: Jul. 24, 2022. [Online]. Available: https://www.umsl.edu/~lacitym/TelefonicaOUWP022015FINAL.pdf
  • [8] A. P. Asatiani, “Turning robotic process automation into commercial success,” OpusCapita. J. Inf. Technol. Teach. Cases, vol. 6, no. 2, 2016.
  • [9] S. Seasongood, “A case for robotics in accounting and finance,” Technol. Account. Financ. Executive, vol. 32, no. 1, pp. 31–39, 2016.
  • [10] C. Kroll, A. Bujak, V. Darius, W. Enders, and M. Esser, “Capgemini Consulting: Robotic Process Automation-Robots conquer business processes in back offices,” 2016. [Online]. Available: https://www.de.capgemini-consulting.com/resource-file-access/
  • [11] N. Pragnell and D. Wright, “Deloitte: The robots are coming,” 2015. Accessed: Jul. 24, 2022. [Online]. Available: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/finance/deloitte-uk-finance-robots-are-coming.pdf
  • [12] D. H. Autor, “Why Are There Still So Many Jobs? The History and Future of Workplace Automation,” Journal of Economic Perspectives, vol. 29, no. 3, pp. 3–30, Aug. 2015, doi: 10.1257/jep.29.3.3.
  • [13] C. B. Frey and M. A. Osborne, “The future of employment: How susceptible are jobs to computerisation?,” Technological Forecasting and Social Change, vol. 114, pp. 254–280, Jan. 2017, doi: 10.1016/j.techfore.2016.08.019.
  • [14] M. Arntz, T. Gregory, and U. Zierahn, “Revisiting the risk of automation,” Economics Letters, vol. 159, pp. 157–160, Oct. 2017, doi: 10.1016/j.econlet.2017.07.001.
  • [15] P. S. Goodman and L. Argote, “Research on the social impacts of robotics: Issues and some evidence.,” Applied Social Psychology Annual, vol. 5, pp. 211–230, 1984.
  • [16] W. M. P. van der Aalst, M. Bichler, and A. Heinzl, “Robotic Process Automation,” Business & Information Systems Engineering, vol. 60, no. 4, pp. 269–272, Aug. 2018, doi: 10.1007/s12599-018-0542-4.
  • [17] S. Anagnoste, “Robotic Automation Process - The next major revolution in terms of back office operations improvement,” Proceedings of the International Conference on Business Excellence, vol. 11, no. 1, pp. 676–686, Jul. 2017, doi: 10.1515/picbe-2017-0072.
  • [18] T. L. Saaty, The Analytic Hierarcy Process, 1st ed. New York: McGraw-Hill, 1980.
  • [19] J. H. Myers and M. I. Alpert, “Determinant Buying Attitudes: Meaning and Measurement,” Journal of Marketing, vol. 32, no. 4, p. 13, Oct. 1968, doi: 10.2307/1249332.

Decision Support System for Software Selection with AHP Method in Business Process Automation

Year 2023, Volume: 16 Issue: 1, 87 - 93, 29.06.2023

Ozge Doguc Kevser Şahinbaş

https://doi.org/10.54525/tbbmd.1148779

Abstract

Automation of business processes offers gains such as speed, process standardization and process improvement for companies. Robotic process automation (RPA) has been getting attention from companies in Turkey and around the world due to its ease of use and rapid integration. For their RPA transformation, companies pick RPA solutions that fit their priorities and business strategies. However, benefits obtained from RPA often do not meet expectations. Some of the reasons for this gap are using RPA in off-target areas within the company and misrepresentation of the benefits of RPA technology. This study aims to assist companies by discussing a decision support system to select RPA software through an applied framework with the AHP method. In this study, an application of the framework is done with the 4 most popular RPA software, and the results obtained with AHP are discussed.

Keywords

Business process automation process management information technologies decision support systems AHP

References

  • [1] Datamatics, “Selecting the Right Processes for Robotic Process Automation,” Mumbai, India, Sep. 2018. Accessed: Jul. 24, 2022. [Online]. Available: https://www.datamatics.com/news-list/selecting-the-right-processes-for-robotic-process-automation
  • [2] J. L. Hindle, ROBOTIC PROCESS AUTOMATION: Benchmarking the Client Experience. Knowledge Capital Partners, 2018.
  • [3] L. P. Willcocks, M. Lacity, and A. Craig, “The IT function and robotic process automation,” 2015. [Online]. Available: https://EconPapers.repec.org/RePEc:ehl:lserod:64519
  • [4] P. S. Fersht, “The Robotic Process Automation market will reach 443 million this year,” 2017. [Online]. Available: https://www.horsesforsources.com/RPA-marketsize-HfS_061017
  • [5] Robotic Process Automation (RPA): Technology Vendor State of the Market Report. Everest Global, 2017.
  • [6] P. L. Willcocks and M. Lacity, Service Automation - Robots and The Future of Work, 1st ed., vol. 1. Ashford, United Kingdom: Steve Brookes Publishing, 2016.
  • [7] M. Lacity, L. Willcocks, and A. Craig, “Robotic Process Automation at Telefónica O2,” The Outsourcing Unit Working Research, 2015. Accessed: Jul. 24, 2022. [Online]. Available: https://www.umsl.edu/~lacitym/TelefonicaOUWP022015FINAL.pdf
  • [8] A. P. Asatiani, “Turning robotic process automation into commercial success,” OpusCapita. J. Inf. Technol. Teach. Cases, vol. 6, no. 2, 2016.
  • [9] S. Seasongood, “A case for robotics in accounting and finance,” Technol. Account. Financ. Executive, vol. 32, no. 1, pp. 31–39, 2016.
  • [10] C. Kroll, A. Bujak, V. Darius, W. Enders, and M. Esser, “Capgemini Consulting: Robotic Process Automation-Robots conquer business processes in back offices,” 2016. [Online]. Available: https://www.de.capgemini-consulting.com/resource-file-access/
  • [11] N. Pragnell and D. Wright, “Deloitte: The robots are coming,” 2015. Accessed: Jul. 24, 2022. [Online]. Available: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/finance/deloitte-uk-finance-robots-are-coming.pdf
  • [12] D. H. Autor, “Why Are There Still So Many Jobs? The History and Future of Workplace Automation,” Journal of Economic Perspectives, vol. 29, no. 3, pp. 3–30, Aug. 2015, doi: 10.1257/jep.29.3.3.
  • [13] C. B. Frey and M. A. Osborne, “The future of employment: How susceptible are jobs to computerisation?,” Technological Forecasting and Social Change, vol. 114, pp. 254–280, Jan. 2017, doi: 10.1016/j.techfore.2016.08.019.
  • [14] M. Arntz, T. Gregory, and U. Zierahn, “Revisiting the risk of automation,” Economics Letters, vol. 159, pp. 157–160, Oct. 2017, doi: 10.1016/j.econlet.2017.07.001.
  • [15] P. S. Goodman and L. Argote, “Research on the social impacts of robotics: Issues and some evidence.,” Applied Social Psychology Annual, vol. 5, pp. 211–230, 1984.
  • [16] W. M. P. van der Aalst, M. Bichler, and A. Heinzl, “Robotic Process Automation,” Business & Information Systems Engineering, vol. 60, no. 4, pp. 269–272, Aug. 2018, doi: 10.1007/s12599-018-0542-4.
  • [17] S. Anagnoste, “Robotic Automation Process - The next major revolution in terms of back office operations improvement,” Proceedings of the International Conference on Business Excellence, vol. 11, no. 1, pp. 676–686, Jul. 2017, doi: 10.1515/picbe-2017-0072.
  • [18] T. L. Saaty, The Analytic Hierarcy Process, 1st ed. New York: McGraw-Hill, 1980.
  • [19] J. H. Myers and M. I. Alpert, “Determinant Buying Attitudes: Meaning and Measurement,” Journal of Marketing, vol. 32, no. 4, p. 13, Oct. 1968, doi: 10.2307/1249332.
There are 19 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Makaleler(Araştırma)
Authors

Ozge Doguc 0000-0002-5971-9218

Kevser Şahinbaş 0000-0002-8076-3678

Early Pub Date June 29, 2023
Publication Date June 29, 2023
Published in Issue Year 2023 Volume: 16 Issue: 1

Cite

APA Doguc, O., & Şahinbaş, K. (2023). İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi. Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi, 16(1), 87-93. https://doi.org/10.54525/tbbmd.1148779
AMA Doguc O, Şahinbaş K. İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi. TBV-BBMD. June 2023;16(1):87-93. doi:10.54525/tbbmd.1148779
Chicago Doguc, Ozge, and Kevser Şahinbaş. “İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi 16, no. 1 (June 2023): 87-93. https://doi.org/10.54525/tbbmd.1148779.
EndNote Doguc O, Şahinbaş K (June 1, 2023) İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 16 1 87–93.
IEEE O. Doguc and K. Şahinbaş, “İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi”, TBV-BBMD, vol. 16, no. 1, pp. 87–93, 2023, doi: 10.54525/tbbmd.1148779.
ISNAD Doguc, Ozge - Şahinbaş, Kevser. “İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi 16/1 (June 2023), 87-93. https://doi.org/10.54525/tbbmd.1148779.
JAMA Doguc O, Şahinbaş K. İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi. TBV-BBMD. 2023;16:87–93.
MLA Doguc, Ozge and Kevser Şahinbaş. “İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi”. Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi, vol. 16, no. 1, 2023, pp. 87-93, doi:10.54525/tbbmd.1148779.
Vancouver Doguc O, Şahinbaş K. İş Süreçlerinin Otomasyonunda Analitik Hiyerarşi Süreci Yöntemiyle Yazılım Seçimi İçin Karar Destek Sistemi. TBV-BBMD. 2023;16(1):87-93.
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