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Journal articles on the topic 'Automation processes'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Aluru, Shashikanth. "Pega Robotic Process Automation: Transforming Business Processes." International Journal of Science and Research (IJSR) 14, no. 2 (2025): 230–33. https://doi.org/10.21275/sr25127112308.

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2

Крылова, Е. А., and В. К. Бережнова. "AUTOMATION HR PROCESSES." Южно-Сибирский научный вестник, no. 6(40) (December 20, 2021): 179–84. http://dx.doi.org/10.25699/sssb.2021.40.6.018.

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Статья посвящена изучению эффективных инструментов для автоматизации HR процессов. Чтобы разобраться в современных цифровых технологиях и быстро меняющихся условиях в области HR, специалисту по кадровому производству необходимо интегрировать в свою работу инновационные IT-инструменты, одним из которых является внедрение корпоративного программного обеспечения. Проведено исследование инструментов управления персоналом в условиях глобальной цифровизации, выявлены положительные и отрицательные аспекты автоматизации HR процессов. Рассмотрен вопрос развития автоматизации HR процессов в условиях эпи

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Elmurod, Astanaliev. "METHODS OF AUTOMATING CONTROL OF PROCESSES IN THE RAILWAY AUTOMATION AND TELEMECHANICS SYSTEM." Research Focus 1, no. 3 (2022): 11–15. https://doi.org/10.5281/zenodo.7396633.

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<em>The article describes the stages of automation of processes in the automation telemechanics system. By automating all technological processes, control of the systems operation processes is ensured. By keeping technical documents electronically, automation of processes is achieved in the automation system. Several stages of combined device data are considered. In an automated process, information exchange is described in a systematized state in three stages, and all processes are designed from the lower level to the higher level.</em>

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4

Pamadi, Vishesh Narendra, and Dr Sandeep Kumar. "AI Powered Automation Transforming Business Processes with Machine Learning." International Journal of Research in Humanities and Social Sciences 13, no. 3 (2025): 146–67. https://doi.org/10.63345/ijrhs.net.v13.i3.9.

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AI-powered automation, particularly through the integration of machine learning (ML), has significantly transformed business processes across various industries over the past decade. From 2015 to 2024, the adoption of AI technologies has evolved from automating simple, repetitive tasks to driving strategic decision-making and enhancing operational efficiency in complex systems. Despite the considerable progress, there remain several research gaps in understanding the full potential and impact of AI-driven automation on business processes. One key area is the scalability of AI automation in sma

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Ochoa Siguencia, Luis, and Piotr Halemba. "Automation of management processes." E3S Web of Conferences 132 (2019): 01020. http://dx.doi.org/10.1051/e3sconf/201913201020.

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Artificial intelligence and service automation are the key to these kinds of new, product-related services. They increasingly penetrate the traditional mechanical and plant engineering sector and open up potentials for innovative services. Tourism services providers are going through rapid changes and the role of Information and Communication Technology, artificial intelligence and service automation is increasing in all spheres of the service management system. When the organization is threatened by environmental changes such as crises or competition as a result of information technology deve

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Barbu, Magdalena, Catrina Chivu, and Cătălin-Iulian Chivu. "Automation of assembly processes." RECENT - REzultatele CErcetărilor Noastre Tehnice 23, no. 3 (2022): 131–37. http://dx.doi.org/10.31926/recent.2022.68.131.

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7

Musazada, O. "AUTOMATION OF TECHNOLOGICAL PROCESSES." Sciences of Europe, no. 107 (December 24, 2022): 159–62. https://doi.org/10.5281/zenodo.7479820.

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In this article, such a concept as: "automation of the production process" was considered. The article identified its main principles, advantages and disadvantages. So, based on the foregoing, we can conclude that the growth of scientific progress opens up great opportunities for the development of production, the improvement of technology and equipment, which is the solution to many problems in the production process. And it is the automation of production that makes it possible to reduce the time of production, improve its quality, and also increase the competitiveness of the enter

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8

Adenuga, Toluwanimi, and Francess Chinyere Okolo. "Automating Operational Processes as a Precursor to Intelligent, Self-Learning Business Systems." Journal of Frontiers in Multidisciplinary Research 2, no. 1 (2021): 133–47. https://doi.org/10.54660/.jfmr.2021.2.1.133-147.

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Automating operational processes is a critical precursor to realizing intelligent, self-learning business systems. This paper investigates the foundational role that process automation plays in enabling organizations to transition from rule-based task execution to adaptive, cognitive operations. By systematically automating repetitive tasks, data collection procedures, and decision workflows, enterprises lay the groundwork for higher-order artificial intelligence (AI) applications such as pattern recognition, real-time optimization, and dynamic decision-making. The transition to self-learning

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9

Costanzo, Don. "AUTOMATED ICS: A FRAMEWORK FOR SUCCESS." International Oil Spill Conference Proceedings 2001, no. 2 (2001): 1033–34. http://dx.doi.org/10.7901/2169-3358-2001-2-1033.

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ABSTRACT Over the years, many organizations have attempted to automate the Incident Command System (ICS). These attempts have ranged from computerizing T-cards to a nationwide spill operations system. Over time, these systems have had varying degrees of success. While certain inherent reasons exist for not automating ICS, they are outweighed by the tremendous potential of successful automation. The need to produce documentation, the integration of ICS sections, and the rapid change of information all lend themselves to automation. Successful ICS automation does not start with computerizing ICS

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10

Afanasenko, D. S. "Technologies for automating routine tasks and their impact on building effective business processes." Upravlenie kachestvom (Quality management), no. 2 (January 20, 2025): 6–10. https://doi.org/10.33920/pro-01-2502-01.

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The article examines the impact of technologies for automating routine tasks on building eff ective business processes and increasing the overall productivity of companies. The main areas of automation are described, such as software, artifi cial intelligence, chatbots, electronic document management and business process management platforms. The advantages of automation are given, including reducing operating costs, increasing the accuracy and speed of operations, improving internal interaction and supporting strategic management. Practical examples of successful implementation of automation

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11

Jeeri, Kishore. "Approaches to Automating Ci/Cd Processes in Distributed Teams." American Journal of Engineering and Technology 07, no. 04 (2025): 97–104. https://doi.org/10.37547/tajet/volume07issue04-13.

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This article explores methods for automating continuous integration processes in the context of distributed teams. With the rise of remote work and globalization, development process optimization has become a crucial factor in the success of modern projects. The objective of this study is to analyze approaches to automation that enhance collaboration among remote team members, reduce testing and deployment time, improve system stability, and enhance the overall quality of the final product. The methodology involves a comparative analysis of scientific publications available in open sources. Th

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12

Karamani, Brunela. "Automation of Data Validation Processes in Banking: A Case Study on Validating Albanian Identity Numbers." SEEU Review 19, no. 1 (2024): 51–64. http://dx.doi.org/10.2478/seeur-2024-0022.

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Abstract In the banking industry, data accuracy and integrity are paramount for ensuring regulatory compliance, operational efficiency, and risk management. However, manual data validation processes often lead to delays, errors, and inefficiencies, posing challenges for financial institutions. To address these issues, many banks are turning to automation to streamline data validation processes and improve accuracy. Using data automation, banks optimize time-consuming manual tasks such as data entry, validation, and retrieval by creating automated software processes that execute these tasks qui

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13

Chinthamu, Narender, Ashish, Victor Emmanuel P, Mathiyalagan P, Syed Zahidur Rashid, and Jothi E. "Robotic Process Automation in Business Processes Streamlining Operations Through Automation Technologies." ITM Web of Conferences 76 (2025): 01005. https://doi.org/10.1051/itmconf/20257601005.

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RPA also known as Robotic Process Automation is revolutionizing the way businesses operate by automating mundane tasks, increasing operational efficiency, and lowering the overall operational cost. Yet, researchers study theoretical benefits prevalent in the State of the Art, without validating them empirically, or studying their impact across industries or in the long term. About the study This study aspires to fill these gaps, offering a data and challenge-driven and scalable framework of RPA adoption. In this study, we incorporate real-world perspectives, AI-supported automation, and proces

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Upesh, Kumar Rapolu. "Automating Financial Processes within SAP ERP using Robotic Process Automation (RPA)." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 5 (2021): 1–5. https://doi.org/10.5281/zenodo.14763751.

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The following research paper has stated the automation of financial processes within SAP ERP with the utilisation of Robotic Process Automation (RPA). This has nurtured several benefits such as improving efficiency with accuracy and the swiftness of financial processes. This has served to be an essential aspect of digital transition for organisations. Furthermore, the research paper has catered to challenges in data integration, technical challenges, and lack of planning and management that have been mitigated by strategies like the development of RPA bots to emerge as beneficial for levelling

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15

Umidjon’s, Karimberdiyev Islombek, and Sultanova Dildora Ilhomjon’s. "EFFECTIVENESS OF BUSINESS PROCESS AUTOMATION IN GROCERY STORES." International Journal of Advance Scientific Research 05, no. 12 (2024): 279–84. https://doi.org/10.37547/ijasr-04-12-43.

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In businesses such as food stores, where quick processing is crucial, automation systems play an essential role in improving efficiency. The application of automation in business processes can help stores speed up operations, reduce errors, cut costs, and provide better customer service. In today's fast-paced retail environment, especially in food stores, efficiency is crucial to stay competitive. Automation systems play a vital role in streamlining business processes, making operations faster, more accurate, and cost-effective. By automating key tasks such as sales transactions, inventory man

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16

Kidassova, Maira. "THE IMPACT OF FINANCIAL PROCESS AUTOMATION ON REDUCING OPERATING COSTS IN MEDIUM-SIZED BUSINESSES." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 98 (February 22, 2025): 20–22. https://doi.org/10.5281/zenodo.14910744.

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The article examines the impact of automating financial processes on reducing operating costs in mediumsized businesses. The focus is on technologies such as enterprise resource planning (ERP) and robotic process automation (RPA) and their role in optimizing financial operations. Implementing these solutions helps to reduce costs associated with routine tasks, improve data accuracy, and accelerate business processes. The article also analyzes key factors that contribute to the successful automation of financial processes, including technological readiness and staff adaptation. The study's find

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Zasadnyi, B. А., and A. V. Tanasiuk. "APPLICATION OF RPA SYSTEMS FOR ROBOTIZATION OF ENTERPRISES' ACCOUNTING PROCESSES." THEORETICAL AND APPLIED ISSUES OF ECONOMICS, no. 48 (2024): 89–97. http://dx.doi.org/10.17721/tppe.2024.48.9.

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The article explores Robotic Process Automation (RPA) as a technological solution that enables end-users to program or train software robots to perform various operations such as data processing, system interaction, and office tasks. It identifies typical office operations that can be automated using RPA and emphasizes that accounting processes can be effectively automated using robotic software agents. Key areas of accounting process automation are identified, including period closing, reporting, accounts receivable and payable, cash management, general ledger management, inventory, and other

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Erlygina, E., and V. Shuvalova. "Automation of Agricultural Business-Processes." Bulletin of Science and Practice 7, no. 12 (2021): 192–96. http://dx.doi.org/10.33619/2414-2948/73/26.

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The article discusses the possibilities of implementing and using a Customer Relationship Management (CRM) for agriculture. The introduction of CRM systems at the enterprises of the agro-industrial complex makes the automation of processes more rational. Communications with clients become more effective, the effectiveness of marketing strategy and planning increases, costs decrease, and the profitability of the company increases. CRM is a key factor of modern organizations for a set of successful strategies for survival, growth and development, increasing productivity efficiency and sustainabl

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19

Ioana, A., N. Constantin, and E. C. Dragna. "Elements of EAF automation processes." IOP Conference Series: Materials Science and Engineering 163 (January 2017): 012005. http://dx.doi.org/10.1088/1757-899x/163/1/012005.

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20

Dudnik, A. E., O. V. Germak, and G. K. Tupoleva. "Automation of data processing processes." IOP Conference Series: Materials Science and Engineering 698 (December 18, 2019): 044006. http://dx.doi.org/10.1088/1757-899x/698/4/044006.

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21

Shoham, Moshe, and Rajan Srivatsan. "Automation of surface finishing processes." Robotics and Computer-Integrated Manufacturing 9, no. 3 (1992): 219–26. http://dx.doi.org/10.1016/0736-5845(92)90026-3.

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22

Zanozin, A. M. "Automation of package grading processes." Fibre Chemistry 21, no. 3 (1990): 200–204. http://dx.doi.org/10.1007/bf00549645.

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23

De Silva, Clarence W. "Soft automation of industrial processes." Engineering Applications of Artificial Intelligence 6, no. 2 (1993): 87–90. http://dx.doi.org/10.1016/0952-1976(93)90024-r.

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24

Wensley, Anthony. "Processes, automation and electronic commerce." Knowledge and Process Management 6, no. 4 (1999): 185–87. http://dx.doi.org/10.1002/(sici)1099-1441(199912)6:4<185::aid-kpm76>3.0.co;2-m.

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25

CZYRKA, Krzysztof, and Józef FRĄŚ. "AUTOMATION IN PURCHASING PROCESSES AND CUSTOMER REFLECTION." Scientific Papers of Silesian University of Technology. Organization and Management Series 2019, no. 138 (2019): 33–40. http://dx.doi.org/10.29119/1641-3466.2019.138.4.

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26

Brinkley, Alex. "Designed for Health & Efficiency." New Electronics 56, no. 5 (2023): 22–23. http://dx.doi.org/10.12968/s0047-9624(24)60088-x.

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27

Sachkirat Singh Pardesi. "Integrating Hyper-Automation with RPA and AI for End-to-End Business Process Optimization." Darpan International Research Analysis 12, no. 3 (2024): 199–211. http://dx.doi.org/10.36676/dira.v12.i3.67.

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The combination of Hyper-Automation, Robotic Process Automation (RPA), and Artificial Intelligence (AI) has become a game-changing method for improving business processes from start to finish in the quickly changing field of business technology. The important definitions, foundations, evolution, significance, research gaps, and the need for this study in the contemporary corporate climate will all be covered in detail in this extensive introduction. The use of cutting-edge technology, such as RPA and AI, to automate processes in a way that goes beyond the scope of conventional automation is kn

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Reagan Panguraj, Antony Ronald. "End-to-End Automation of Software Development Lifecycle (SDLC) Tools and Processes." International Journal of Multidisciplinary Research and Growth Evaluation. 2, no. 6 (2021): 438–41. https://doi.org/10.54660/.ijmrge.2021.2.6.438-441.

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The end-to-end automation approach for the Software Development Lifecycle (SDLC) now represents a fundamental solution to enhance development speed and minimize mistakes while improving productivity. Modern software development needs complete integration between stages for successful planning design development testing deployment and maintenance processes. The use of traditional manual approaches leads to delayed release schedules together with elevated mistake frequencies and elevated expenses. Software automation fights these development issues through simplified software development lifecyc

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Ayadi, Rami, Rasha M. Abd El-Aziz, Ahmed I. Taloba, Hanan Aljuaid, Nadir O. Hamed, and Moaiad A. Khder. "Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry." Wireless Communications and Mobile Computing 2022 (April 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/5450473.

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Automation in industries offers the benefits of enhancing quality and productivity while minimizing waste and errors, raising safety and adds stability to the production process. Industrial automation offers high profitability, reliability, and safety. It is beneficial to employ machine learning in the field of industrial automation as it helps in monitoring and performing maintenance on industrial machinery. Rational industrial development is closely associated with efforts for automating industrial techniques in all existing ways. Latest improvements in the automation of industrial systems r

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Mahaboobsubani, Shaik. "Blue Prism RPA in Finance Automating Accounts Payable Processes." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 3 (2020): 1–8. https://doi.org/10.5281/zenodo.14352353.

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The increasing adoption of Robotic Process Automation (RPA) in finance has revolutionized critical processes, particularly in accounts payable. This article evaluates the application of Blue Prism RPA for automating accounts payable workflows, focusing on key metrics such as processing speed, error rate reduction, and financial impact. The article conducts a comprehensive cost-benefit analysis, demonstrating how RPA improves operational efficiency, reduces manual effort, and minimizes errors, ultimately enhancing financial performance. Additionally, challenges associated with data integration

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Horbas, I. M., and M. S. Linnik. "Automation of Enterprise Business Processes Using the Method of Stochastic Modeling and WorkFlow Techniques – EPC." Business Inform 2, no. 517 (2021): 216–22. http://dx.doi.org/10.32983/2222-4459-2021-2-216-222.

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The article is aimed at improving the theoretical and methodical instrumentarium for automating business processes in the context of developing a universal algorithm for optimizing and automating business processes of an enterprise using the stochastic modeling method and WorkFlow techniques – EPC. As result of the research, the authors’ approaches to defining the fundamental principles of automation of enterprise business processes are analyzed. The expediency of practical use of the stochastic modeling method and WorkFlow techniques – EPC for optimization of business processes is specified.

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32

Khurshed, Sobirov. "ARTIFICIAL INTELLIGENCE IN AUTOMATING PROCESSES IN BUSINESSES." European Journal of Artificial Intelligence and Digital Economy 1, no. 10 (2024): 1–3. https://doi.org/10.61796/jaide.v1i10.973.

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Artificial Intеlligеncе (AI) is transforming thе landscapе of businеss opеrations through thе automation of procеssеs, еnhancing еfficiеncy, productivity, and accuracy. This articlе еxplorеs thе impact of AI on automating tasks across various industriеs, focusing on its advantagеs in strеamlining workflows, dеcision-making procеssеs, and rеducing opеrational costs. It also discussеs kеy challеngеs and futurе trеnds that businеssеs must addrеss to fully lеvеragе AI’s potеntial.

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Matta, Prabhavathi. "Applications of AI/ML in Automating Business Processes and Data-Driven Decision-Making for Product Strategy." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–5. https://doi.org/10.55041/ijsrem8167.

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Artificial Intelligence (AI) and Machine Learning (ML) have become transformative forces in business, enabling the automation of complex processes and the generation of data-driven insights. These technologies enhance efficiency, accuracy, and scalability while offering valuable insights for strategic planning. This paper explores the applications of AI/ML in automating business workflows, with a particular focus on their impact on product strategy. The paper provides a detailed examination of methodologies, implementation strategies, and best practices for leveraging AI/ML in automating proce

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Shahbazi, Sasha, Kerstin Johansen, and Erik Sundin. "Product Design for Automated Remanufacturing—A Case Study of Electric and Electronic Equipment in Sweden." Sustainability 13, no. 16 (2021): 9039. http://dx.doi.org/10.3390/su13169039.

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Remanufacturing is one of the main practices toward a circular economy and industrial sustainability. Remanufacturing is highly dependent on how circular products are designed and developed. Remanufacturing can also benefit from automation for efficiency, accuracy and flexibility. This paper, via a multiple case study, connects the three areas of remanufacturing, product design and automation and investigates how circular product design can facilitate automation remanufacturing processes. First, circular product design guidelines are discussed with regard to remanufacturing. Second, potential

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35

Sai, Sneha Marri. "Revolutionizing Payroll: Streamlining Processes with Robotic Process Automation." International Journal of Leading Research Publication 3, no. 2 (2022): 1–9. https://doi.org/10.5281/zenodo.14769308.

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The payroll function is critical to every organizati- on, ensuring accurate and timely compensation for employees while complying with complex regulati- ons. However, traditional payroll processes are often manual, time-consuming, and prone to err- ors. Robotic Process Automation (RPA) presents a transformative solution, revolutionizing payroll operations by automating repetitive tasks, enhanc- ing accuracy, and improving overall efficiency.This white paper explores how RPA can streaml- ine payroll processes by integrating seamlessly with existing payroll systems, databases, and third-party ap

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36

Zh. B. Egeubaeva and A. K. Alzhanov. "AUTOMATING LIBRARY PROCESSES USING THE OSS." Bulletin of Toraighyrov University. Pedagogics series, no. 2.2023 (June 30, 2023): 15–26. http://dx.doi.org/10.48081/qkoz7457.

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Organization of library work is related to such sciences as pedagogy, psychology, sociology, computer science, economics, cybernetics, linguistics. Integration with these scientific processes allows solving a number of problems of library work. Automation of library services and the use of modern software are necessary to increase efficiency and effectiveness. In addition, it is very important for libraries not only to have appropriate software and technologies, but also to be able to use them effectively. Library automation benefits both library staff and users, as it increases staff producti

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Ismail, Rasha Fady, Fadi Safieddine, Rawad Hammad, and Mazhar Hallak Kantakji. "Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt." Sustainability 14, no. 11 (2022): 6564. http://dx.doi.org/10.3390/su14116564.

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INCOM Egypt has undergone automation in some processes where critical aspects of its operations are transformed and automated. This paper presents an overview of INCOM Egypt processes using Ould Riva and analyses the process of ‘handling a product’. It aims to demonstrate effective automation of the production of wires and cables process accompanied to Industry 4.0 while considering environmental and economic sustainability goals that were inhibited by COVID-19 restrictions. Ould’s Riva method is used to analyse the production process of wires and cables to propose improvements for automating

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Tkachenko, Olha, and Maksym Hnatiuk. "Some Aspects of E-commerce Business Process Automation." Digital Platform: Information Technologies in Sociocultural Sphere 6, no. 2 (2023): 458–73. http://dx.doi.org/10.31866/2617-796x.6.2.2023.293620.

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Automation of e-commerce business processes is one of the key elements in optimising e-commerce operations. Modern enterprise resource planning (ERP) systems and customer relationship management (CRM) systems contribute to the optimisation and automation of e-commerce business operations. The article discusses the benefits of business process automation, such as reduction of time, costs and risks, and data analysis for making informed management decisions. Some aspects of automation of e-commerce business processes are investigated, such as control of stocks of goods, tracking the movement of

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McLean, Jessica, and Rohan Mackenzie. "Digital justice in Australian visa application processes?" Alternative Law Journal 44, no. 4 (2019): 291–96. http://dx.doi.org/10.1177/1037969x19853685.

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Automation and privatisation of the Australian visa processing system may produce digital injustices. As of late 2018, the federal government is pursuing automation and privatisation of visa processing to increase revenue, but this move will cut at least 3000 jobs and, given other experiences in automation and privatisation processes pursued by the government, is likely to produce serious errors. Automation of visa processing is under consideration and it may involve the use of artificial intelligence to facilitate decision-making on visas, drawing on digital tools to achieve this end. At this

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40

Rama Krishna Debbadi and Obed Boateng. "Enhancing cognitive automation capabilities with reinforcement learning techniques in robotic process automation using UiPath and automation anywhere." International Journal of Science and Research Archive 14, no. 2 (2025): 733–52. https://doi.org/10.30574/ijsra.2025.14.2.0450.

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Cognitive automation represents the next frontier in Robotic Process Automation (RPA), enabling systems to learn, adapt, and optimize decision-making processes dynamically. Traditional RPA platforms, such as UiPath and Automation Anywhere, excel in automating rule-based tasks but lack the ability to handle complex, evolving scenarios that require adaptive intelligence. Integrating reinforcement learning (RL) techniques into RPA workflows offers a transformative approach to enhancing cognitive automation capabilities. RL enables bots to make intelligent, data-driven decisions by learning from t

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Krämer, Jonathan, Gregor Thiele, Theresa Johanni, and Jörg Krüger. "Automation of Life Data Analysis Processes." IOP Conference Series: Materials Science and Engineering 1140, no. 1 (2021): 012022. http://dx.doi.org/10.1088/1757-899x/1140/1/012022.

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Ostroukh, A. V., N. E. Surkova, M. I. Ismoilov, and M. A. Davlatov. "AUTOMATION OF TECHNOLOGICAL PROCESSES ASPHALT PLANT." V mire nauchnykh otkrytiy, no. 6 (June 21, 2015): 71. http://dx.doi.org/10.12731/wsd-2015-6-7.

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43

Antonoaie, Victor, Adrian Irimeş, and Lucia-Antoneta Chicoş. "ERP processes automation in corporate environments." MATEC Web of Conferences 94 (2017): 06001. http://dx.doi.org/10.1051/matecconf/20179406001.

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Kizilov, S. A., S. M. Nikitenko, and M. S. Nikitenko. "Geotechnological aspects of mining processes automation." IOP Conference Series: Materials Science and Engineering 865 (August 13, 2020): 012014. http://dx.doi.org/10.1088/1757-899x/865/1/012014.

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Khlopenko, M., V. Polyvoda, O. Sharko, and D. Onyshko. "Automation of vessel slamming avoidance processes." Reporter of the Priazovskyi State Technical University. Section: Technical sciences, no. 47 (December 28, 2023): 233–41. http://dx.doi.org/10.31498/2225-6733.47.2023.300064.

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The object of the research is the processes of slamming automatic avoidance when the vessel is sailing in a storm. During stormy sailing, the vessel is subjected to external influences from wind and waves, which lead to strong dynamic loads on the hull, increase in heel and trim angles, flooding of the deck. The vessel's speed decreases, its controllability deteriorates. Slamming is one of the most dangerous phenomena in storm sailing. The appearance of slamming depends on many factors: the size and shape of the vessel's hull, the draft of the bow, the state of the sea, the vessel's course and

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Merritt, Stephanie M. "Affective Processes in Human–Automation Interactions." Human Factors: The Journal of the Human Factors and Ergonomics Society 53, no. 4 (2011): 356–70. http://dx.doi.org/10.1177/0018720811411912.

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Mitterpach, S. "Automation of Manufacturing and Technological Processes." IFAC Proceedings Volumes 19, no. 12 (1986): 257–61. http://dx.doi.org/10.1016/s1474-6670(17)59626-3.

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Nikulin, A. N. "Automation of Production Processes in Metallurgy." Metallurgist 49, no. 1-2 (2005): 68–71. http://dx.doi.org/10.1007/s11015-005-0055-5.

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Golovin, Dmitry, Svetlana Belyaeva, Zhidkikh Nikita, and Andrey Misailov. "Automation of design of technological processes." E3S Web of Conferences 363 (2022): 04006. http://dx.doi.org/10.1051/e3sconf/202236304006.

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The article considers the majority of modern foreign and domestic CAD TP, which solve many problems of technological preparation of production. However, in most systems, the used method of automated design of technological processes remains incomprehensible, the existing organizational structure of pre-production is not taken into account, the correction of actual data (cutting conditions, time standards) does not meet the requirements of modern aviation production. The article proposes to actively use the integrated design method in CAD TP systems.

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Pazare, Shital. "HR Automation: Enhancing Candidate Onboarding Processes." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31260.

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Human Resources (HR) departments are faced with the problem of effectively managing a variety of activities, from talent acquisition to legal compliance, in the dynamic workforce landscape of today. This study explores the ground breaking integration of Artificial Intelligence (AI), with an emphasis on Natural Language Processing (NLP), as a transformative force in reimagining Human Resources (HR) management methodologies." The pivotal role of two cutting-edge AI tools, the Legal Language Model (LLM) and the Language Model for Attribute-based Matching (LAMA), is examined in addressing key HR c

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