Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Trends Analysis and Future Direction of Business Process Automation, RPA(Robotic Process Automation) in the Times of Convergence

융복합 시대의 비즈니스 프로세스 자동화, RPA(Robotic Process Automation) 동향분석 및 미래방향

  • Received : 2018.09.28
  • Accepted : 2018.11.20
  • Published : 2018.11.28
Download PDF
⟨ Previous Next ⟩

Abstract

In this era that technology is replacing human labor is coming. Like the introduction of Factory Automation and Smart Factory to enhance the productivity in manufacturing works in companies, RPA (Robotic Process Automation) is being applied to strengthen the competiveness in service & office work of companies. But, RPA itself is not mature enough to be the specific technology or solution, but burgeoning as the conceptual technology alternatives to automate the business process harnessed with the concept of software robots, artificial intelligence etc. The biggest difference that the introduction of RPA can make is the transition of the work based on 'human labor', to the 'digital labor' that could result in the replacement of human labor itself with that. Considering this kind of impact to change the concept of labor, the discussion for the future policy for this is inevitable. In this paper, beginning from the overview of RPA, relevant concerns & consideration for the application of RPA will be described based on the understanding of industrial & technology trends and expected future of RPA.

인간의 노동을 기술이 대체하는 시대가 도래하고 있다. 제조영역에서 기업의 생산성을 증대시키기 위해 공장자동화(Factory Automation, FA) 및 스마트 팩토리(Smart Factory, SF)를 도입하는 것처럼, 서비스 영역 및 사무업무 영역에서도 RPA(Robotic Process Automation) 도입을 통해 기업의 경쟁력을 강화시키고 있다. 하지만, RPA 자체는 어디까지나 개념일 뿐 특정한 기술과 솔루션을 의미하지는 않으며, 소프트웨어 로봇이나 인공지능 개념을 기반으로 비즈니스 프로세스를 자동화하는 기술들의 새로운 개념이라고 할 수 있다. RPA도입 전후의 가장 큰 차이점은, 인간노동(Human Labor) 중심의 업무수행에서 디지털노동(Digital Labor)으로 사람의 노동력 자체를 대체한다는 것에 있다. 이렇듯 노동에 대한 시대적 개념이 변함에 따라, 미래 변화에 대한 정책적 논의가 필요한 시점이라 사료된다. 본 논문에서는 RPA에 대해 개괄적으로 살펴본 후, 산업동향 및 기술동향, 그리고 RPA 미래방향에 대한 이해를 통해 우리가 준비해야 할 고민에 대해 살펴보고자 한다.

Keywords

DJTJBT_2018_v16n11_313_f0001.png 이미지

Fig. 1. Difference Between Manual Process and Robotic Process

DJTJBT_2018_v16n11_313_f0002.png 이미지

Fig. 2. Development Steps for Work Productivity

DJTJBT_2018_v16n11_313_f0003.png 이미지

Fig. 3. Cost reduction by level of productivity improvement

DJTJBT_2018_v16n11_313_f0004.png 이미지

Fig. 4. Priority of Strategic Objectives

DJTJBT_2018_v16n11_313_f0005.png 이미지

Fig. 5. Analysis of Achievement of Corporate Objectives

DJTJBT_2018_v16n11_313_f0006.png 이미지

Fig. 6. Market Size of RPA

DJTJBT_2018_v16n11_313_f0007.png 이미지

Fig. 7. Survey on Scale of Robot Implement

DJTJBT_2018_v16n11_313_f0008.png 이미지

Fig. 8. Example Of Account Closing Process

DJTJBT_2018_v16n11_313_f0010.png 이미지

Fig. 10. RPA Solution Market Share Status

DJTJBT_2018_v16n11_313_f0011.png 이미지

Fig. 11. RPA Solution in Google Trends(Blue : UiPath / Red : Blue Prism / Yellow : Automation Anywhere)

DJTJBT_2018_v16n11_313_f0012.png 이미지

Fig. 12. Comparison of RPA Solution Considering Cognitive Automation Aspects and Broad Capability Aspects

DJTJBT_2018_v16n11_313_f0013.png 이미지

Fig. 13. Example of Routine Operation,Workflow

DJTJBT_2018_v16n11_313_f0014.png 이미지

Fig. 14. Methodology of RPA Implement

DJTJBT_2018_v16n11_313_f0015.png 이미지

Fig. 15. Comparison between Before/After RPA Implement and Cognitive Technology Application

DJTJBT_2018_v16n11_313_f0016.png 이미지

Fig. 16. Future Direction of RPA

DJTJBT_2018_v16n11_313_f0017.png 이미지

Fig. 9. Six Comparison Criteria of RPA Solutions Functions

Table 1. Global Examples of RPA Implement

DJTJBT_2018_v16n11_313_t0001.png 이미지

Table 2. Domestic Examples of RPA Implement

DJTJBT_2018_v16n11_313_t0002.png 이미지

Table 3. Domestic status of Robot Implement

DJTJBT_2018_v16n11_313_t0003.png 이미지

Table 4. Chatbot in Financial Services

DJTJBT_2018_v16n11_313_t0004.png 이미지

Table 5. Potential Application Field of RPA

DJTJBT_2018_v16n11_313_t0005.png 이미지

Table 6. Example of Global Investment-Robot Advisor

DJTJBT_2018_v16n11_313_t0006.png 이미지

References

  1. L. S. Kim. (2015). Convergence of information Technology and Corporate Strategy, Journal of Convergence Society, 6(6), 17-26.
  2. J. Y. Park & K. I. Kim. (2018). ICT Utilization for Optimization of SME Decision Making, Journal of Convergence for Information Technology, 8(1), 275-280. https://doi.org/10.22156/CS4SMB.2018.8.1.275
  3. J. H. Ku. (2018). A Study on Adaptive Learning Model for Performance Improvement of Stream Analytics. Journal of Convergence for Information Technology, 8(1), 201-206. https://doi.org/10.22156/CS4SMB.2018.8.1.201
  4. David Schatsky, Craig Muraskin, and Kaushik Iyengar. (2017), Robotic process automation, A path to the cognitive enterprise, New York : Deloitte Consulting.
  5. G. S. Kim, G. Y. Lee & M. J. Jo. (2017). RPA implement and Service innovation (Focusing on financial industry cases) Seoul : Samjong KPMG.
  6. K. H. Lim, S. P. Lim, W. H. Jang & C. B. Choi. (2017). Robotic Precess Automation, Seoul : PwC (PricewaterhouseCoopers) Consulting.
  7. J. H. Jung. (2017). The Fourth Industrial Revolution Winds at Office(The era of Robots in Biz. operation), Seoul : POSCO Economic Research Institute.
  8. J. H. Park. (2017). White-Color worker's tool to improve productivity, Seoul : Institute for information & communication technology promotion.
  9. Deloitte Consulting, (2017), The robots are ready. Are you? (Untapped advantage in your digital workforce), London
  10. E. Y. Ernst & Young. (2016). Robotic process automation White paper, London.
  11. M. S. Kwon, S. H. Son & R. H. Kim. (2018). Operation status and inspection results of chatbot using Artificial Intelligence in financial company, Seoul : Financial supervisory service.
  12. H. J. Kang & S. I. Ki. (2017). Evaluation on the Usability of Chatbot Intelligent Messenger Mobile Services. Journal of the Korea Convergence Society, 8(9), 271-276. https://doi.org/10.15207/JKCS.2017.8.9.271
  13. Craig Le Clair. (2017). Robotic Process Automation, Q1 2017(The 12 Providers That Matter Most And How They Stack Up), Cambridge : The Forrester Wave.
  14. Google. (2018). RPA Tools in Google Trends. http://www.google.com
  15. S. I. Jung. (2017). The future development direction of the fourth industrial revolution, Seoul : Deloitte Consulting.
  16. I. Y. Yoon. (2017). Convergence of robot and business, Robot precess automation(RPA), Seoul : Convergence research policy center.
  17. Deloitte Consulting. (2017). Robotic and Cognitive Automation (Deloitte Perspectives on Financial Services), London.
  18. Maureen Kunal Mota, Ralf Bemmann. (2018). Gearing toward intelligent automation, New York : Accenture.