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EN
Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation and increased productivity. RPA rapidly evolves into Intelligent Process Automation (IPA) by incorporating advanced technologies and capabilities beyond simple task automation. The paper aims to identify the organisational, technological, and human-centred challenges that companies face in transitioning from RPA to IPA. The research process involved conducting the scientific literature search using the ResearchRabbit AI tool, which provided a set of reference papers relevant to the formulated research questions. As a result of the conducted literature review, the authors identified key challenges and possible countermeasures for companies transitioning from RPA to IPA. The resulting collection of reference scientific articles formed the basis for this study’s content and substantive analysis. Furthermore, this study contributes by identifying artificial intelligence techniques and algorithms, such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), predictive analytics, and others, that can be integrated with RPA to facilitate the transition to IPA. The paper also offers insights into potential future research areas.
EN
Background: Manufacturing companies nowadays have to cope with ever-increasing speed and complexity to manage their global supply chain. Information flow manage the supply chain needs to be more accurate and real-time than ever before. Item master data management is no exception as well. This research demonstrates the potential benefits of applying robotic process automation (RPA) technology in master data management based on two companies in the manufacturing industry. Methods: The method approached by the research was a qualitative method, utilizing interpretation of data extracted from literature and semi-constructed interviews. Results: The article proposes a framework for RPA implementation in the master data managing process. Automation with software robots can greatly benefit the organization, namely: lower processing time, reduce human errors, lower operations cost, improved compliance level and higher data accuracy. Conclusions: With the objective to examine the benefits of RPA in master data management, the researchers have investigated 2 companies in the manufacturing industry to understand how they have benefited from RPA for item master data management processes. The result showed that RPA is affirmed to bring about many benefits for the organizations through structured automation. The researchers have proposed a framework for implementing RPA to capture item master data based on the change management model and the framework is separated in 3 phases involving important tasks in each phase. Future researches might use this study as a stepping stone for further studies in cognitive RPA, utilizing cognitive technology in combination with RPA technology with the mean to achieve a higher level of automation.
PL
Wstęp: Firmy produkcyjne działają obecnie w warunkach coraz większej kompleksowości zarządzania swoim łańcuchem dostaw. Przepływ informacji wspomagający zarządzanie łańcuchem dostaw musi być coraz precyzyjniejszy oraz odbywać się w czasie rzeczywistym. Zarządzanie danymi podstawowymi nie jest tu żadnym wyjątkiem. Praca przedstawia potencjalne zalety zastosowania technologii automatyzacji procesów RPA w zarządzaniu danymi podstawowymi na podstawie dwóch firm produkcyjnych. Metody: W pracy została zastosowana metoda jakościowa polegająca na interpretacji danych pochodzących z literatury fachowej oraz przeprowadzonych wywiadów. Wyniki: Wysunięto propozycję zastosowania zasad RPA w procesie zarządzania danymi podstawowymi. Automatyzacja w połączeniu z oprogramowaniem robotów wpływa pozytywnie na pracę przedsiębiorstwa poprzez skrócenia czasu obróbki, redukcję błędów ludzkich, obniżenie kosztów operacyjnych, podniesienie wzajemnej zgodności danych oraz większej ich dokładności. Wnioski: W celu określenia zalet zastosowania metody RPA w zarządzaniu danymi podstawowymi, zostały poddane analizie dwie firmy produkcyjne, które wdrożyły RPA w procesach zarządzania danymi podstawowymi. Otrzymane wyniki potwierdziły pozytywny wpływ wdrożenia automatyzacji. Zaproponowano model wdrożenia RPA oparty na modelu zarządzania zmianą i podzielony na trzy oddzielne etapy, z wyszczególnieniem zadań specyficznych dla każdego z tych etapów. Uzyskane wyniki mogą być zastosowane w dalszych pracach nad RPA.
EN
The paper introduces Robotic Process Automation (RPA), which is an emerging and cutting-edge conception of business processes automation, based on the notion of software robots or artificial intelligence workers. The paper is conceptual as it discusses the fundamentals behind this idea, synthesises the knowledge of technology, and presents it in a new context. It is based on the author’s considerations and the literature review, which contributes to the insight into the basic understanding of RPA technology as well as systematises and clarifies RPA definitions, identifies market trends, formulates a set of predictions for further development of this technology, and highlights directions for future inquiry. Additionally, logical arguments are proposed for considering RPA as a technology that enables and advances digital transformation. Moreover, criteria are indicated for business processes suitable for RPA. Nowadays, the robotisation of business processes as innovative technology is more often practically implemented than it is investigated by research. Published papers outline real examples of implemented cases of RPA technology in organisations that mainly represent service industries. These case studies allow identifying possible advantages and risks derived from RPA implementation. Recent studies also report benefits of the RPA application in terms of productivity, costs, service quality, and error reduction. Some authors propose the criteria for selecting processes suitable for automation and robotisation. This paper constitutes a foundation for new research aimed at filling knowledge gaps in this area. Responding to the call by van der Aalst, academic discourse on RPA must be initiated.
EN
The paper concentrates on the issues of applying smart technologies in the manufacturing processes. The author includes in it brief descriptions of the smart technologies that contributed to the emergence of Industry 4.0 concept. Additionally, based on reports and surveys conducted on a global scale re-garding the application of intelligent technologies, the author analyses the current state of implementing these technologies in manufacturing processes and provides forecasts regarding the adoption of the solutions based on Artificial Intelligence in global enterprises in the near future.
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