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Julia Siderska
Faculty of Engineering Management, Bialystok University of Technology, Wiejska 45a Street, 15-351 Bialystok, Poland

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Journal article
Published: 18 July 2021 in Sustainability
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The study provides knowledge on the adoption of the Robotic Process Automation (RPA) technology during the COVID-19 pandemic in 110 Polish service companies. As this research was the first of its kind in Poland, the objectives of the CAWI survey were to identify the technology features of the RPA technology and the related determinants and barriers influencing the adoption of the RPA as well as to determine correlations between them. Moreover, the statistical analyses involved considering whether there were differences in the evaluation of individual RPA technology features, mainly in terms of perceived usefulness, ease of use, security and functionality. The results of the study show that almost 60% of the respondents indicated that robotization tools allowed maintaining continuity of business processes during the pandemic. The highest rated were features related to usefulness of the RPA technology. Furthermore, the analysis pointed to the most frequently indicated barriers to technology implementation that were related to nonoptimized, nonstandardized and non-digitized processes with a large number of exceptions. The study contributes to scientific knowledge and has practical implications for process automation decision-makers concerned with the adoption of the Robotic Process Automation technology. The obtained results can help them to understand the potential drivers of and barriers to the adoption of software robots by enterprises and may be an important determinant for companies’ managers in the field of implementing such solutions.

ACS Style

Julia Siderska. The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic. Sustainability 2021, 13, 8020 .

AMA Style

Julia Siderska. The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic. Sustainability. 2021; 13 (14):8020.

Chicago/Turabian Style

Julia Siderska. 2021. "The Adoption of Robotic Process Automation Technology to Ensure Business Processes during the COVID-19 Pandemic." Sustainability 13, no. 14: 8020.

Journal article
Published: 01 June 2020 in Engineering Management in Production and Services
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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 a s 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.

ACS Style

Julia Siderska. Robotic Process Automation — a driver of digital transformation? Engineering Management in Production and Services 2020, 12, 21 -31.

AMA Style

Julia Siderska. Robotic Process Automation — a driver of digital transformation? Engineering Management in Production and Services. 2020; 12 (2):21-31.

Chicago/Turabian Style

Julia Siderska. 2020. "Robotic Process Automation — a driver of digital transformation?" Engineering Management in Production and Services 12, no. 2: 21-31.

Journal article
Published: 01 September 2018 in Multidisciplinary Aspects of Production Engineering
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Cloud Manufacturing (CMfg) is an emerging networked manufacturing paradigm and service-oriented manufacturing model, in which distributed manufacturing resources are made available by providers according to consumers’ requirements as on-demand manufacturing services via networks (manufacturing clouds) and cloud manufacturing service platforms. Considering the concept of cloud manufacturing and its operation principle, the paper designs and introduces new proposal of cloud manufacturing service platform architecture, including the following six layers: physical resources layer, soft resources layer, virtual resources layer, services layer, application layer and service-oriented interface layer. After surveying majority of papers introducing architectures of CMfg service platforms, the paper recommends to map both hard as well as soft resources into cloud services from resource layers to virtual resource layer which highlights the core idea of the concept. The paper discusses also the fundamentals of the CMfg paradigm, introduces three groups of actors that participate in a cloud manufacturing system, as well as indicates briefly a typical hierarchy architecture of cloud manufacturing system.

ACS Style

Julia Siderska; Khambi Mubarok. Cloud Manufacturing Platform and Architecture Design. Multidisciplinary Aspects of Production Engineering 2018, 1, 673 -680.

AMA Style

Julia Siderska, Khambi Mubarok. Cloud Manufacturing Platform and Architecture Design. Multidisciplinary Aspects of Production Engineering. 2018; 1 (1):673-680.

Chicago/Turabian Style

Julia Siderska; Khambi Mubarok. 2018. "Cloud Manufacturing Platform and Architecture Design." Multidisciplinary Aspects of Production Engineering 1, no. 1: 673-680.

Conference paper
Published: 15 March 2018 in Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020)
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For several years manufacturing industries have been changing significantly due to intense competition, globalization and rapid development of advanced information and management technologies. Collaboration, Internet of Things and clouds were identified as technology-enabled business trends profoundly reshaping strategies across manufacturing industry (Buthin et al. in Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 2010, [2]. In this paper Cloud Manufacturing paradigm has been introduced as it gains more and more importance among academia world and industrial sector. Cloud Manufacturing is an open and service-oriented concept of virtualizing distributed manufacturing and assembling resources together in order to provide a coherent, uninterrupted and high quality transaction of manufacturing process. The purpose of the paper is to present the Cloud Manufacturing paradigm as well as the fundamental assumptions of this concept. It also focuses on how cloud computing enables Cloud Manufacturing. The author demonstrated also the idea of the Virtual Production Line, which is an extension of the Classical Production Line, invented by Henry Ford in automotive industry. In the relation to Cloud Manufacturing concept the author proposed to adopt VPL to analyze the soft manufacturing resources.

ACS Style

Julia Siderska. Cloud Manufacturing—The Adoption of Virtual Production Line to Soft Resources Analysis. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) 2018, 225 -233.

AMA Style

Julia Siderska. Cloud Manufacturing—The Adoption of Virtual Production Line to Soft Resources Analysis. Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020). 2018; ():225-233.

Chicago/Turabian Style

Julia Siderska. 2018. "Cloud Manufacturing—The Adoption of Virtual Production Line to Soft Resources Analysis." Proceedings of the 2nd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2020) , no. : 225-233.

Review
Published: 01 March 2018 in Engineering Management in Production and Services
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This paper introduces cloud manufacturing (CMfg) as a new manufacturing paradigm that joins the emerging technologies – such as the Internet of Things, cloud computing, and service-oriented technologies – for solving complex problems in manufacturing applications and performing large-scale collaborative manufacturing. Using scientific publications indexed in Scopus database during the period 2012–2017, the concept and fundamentals of CMfg are presented and discussed given the results of the most recent research. While focusing on the current state of the art, the recent research trends within CMfg concept were also identified. The review involved the methods of bibliometric analysis and network analysis. A prototype of CMfg and the existing related work conducted by various researchers are presented, and the map of co-occurrence is introduced to indicate the most commonly occurring issues related to the “cloud manufacturing” term. The VOSviewer software was used for this purpose. Finally, cloud-based manufacturing areas for further research are identified.

ACS Style

Julia Siderska; Khair S. Jadaan. Cloud manufacturing: a service-oriented manufacturing paradigm. A review paper. Engineering Management in Production and Services 2018, 10, 22 -31.

AMA Style

Julia Siderska, Khair S. Jadaan. Cloud manufacturing: a service-oriented manufacturing paradigm. A review paper. Engineering Management in Production and Services. 2018; 10 (1):22-31.

Chicago/Turabian Style

Julia Siderska; Khair S. Jadaan. 2018. "Cloud manufacturing: a service-oriented manufacturing paradigm. A review paper." Engineering Management in Production and Services 10, no. 1: 22-31.

Journal article
Published: 03 November 2017 in Zeszyty Naukowe Uniwersytetu Gdańskiego. Ekonomika Transportu i Logistyka
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The aim of this work is to present and discuss the possibility of using computer simulation to improve the production flow of sheet metal screws in the carpentry plant. The paper includes descriptive and schematic characterization of the present production system of the plant in one of the Polish companies. Using the Tecnomatix Plant Simulation software, a digital model of the process line was drawn up, mirroring the spatial arrangement of workstations in the production hall and their operators, as well as actual processing times and set-up times of each machine. Simulation was performed to identify bottlenecks in the entire production process, and several modifications were proposed on that basis so as to optimize the workloads of the workstations and increase production.

ACS Style

Julia Siderska; Katarzyna Perkowska. APPLICATION OF COMPUTER SIMULATION IN IMPROVING THE PROCESS OF SCREWS PRODUCTION. Zeszyty Naukowe Uniwersytetu Gdańskiego. Ekonomika Transportu i Logistyka 2017, 66, 89 -96.

AMA Style

Julia Siderska, Katarzyna Perkowska. APPLICATION OF COMPUTER SIMULATION IN IMPROVING THE PROCESS OF SCREWS PRODUCTION. Zeszyty Naukowe Uniwersytetu Gdańskiego. Ekonomika Transportu i Logistyka. 2017; 66 ():89-96.

Chicago/Turabian Style

Julia Siderska; Katarzyna Perkowska. 2017. "APPLICATION OF COMPUTER SIMULATION IN IMPROVING THE PROCESS OF SCREWS PRODUCTION." Zeszyty Naukowe Uniwersytetu Gdańskiego. Ekonomika Transportu i Logistyka 66, no. : 89-96.

Journal article
Published: 01 January 2017 in Procedia Engineering
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ACS Style

Julia Siderska. Neural Model for Assessing the Value of Social Capital. Procedia Engineering 2017, 182, 643 -650.

AMA Style

Julia Siderska. Neural Model for Assessing the Value of Social Capital. Procedia Engineering. 2017; 182 ():643-650.

Chicago/Turabian Style

Julia Siderska. 2017. "Neural Model for Assessing the Value of Social Capital." Procedia Engineering 182, no. : 643-650.

Journal article
Published: 10 June 2016 in Business, Management and Education
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The main objective of the article was to present the possibilities and examples of using Tecnomatix Plant Simulation (by Siemens) to simulate the production and logistics processes. This tool allows to simulate discrete events and create digital models of logistic systems (e.g. production), optimize the operation of production plants, production lines, as well as individual logistics processes. The review of implementations of Tecnomatix Plant Simulation for modeling processes in production engineering and logistics was conducted and a few selected examples of simulations were presented. The author’s future studies are going to focus on simulation of production and logistic processes and their optimization with the use of genetic algorithms and artificial neural networks.

ACS Style

Julia Siderska. APPLICATION OF TECNOMATIX PLANT SIMULATION FOR MODELING PRODUCTION AND LOGISTICS PROCESSES. Business, Management and Education 2016, 14, 64 -73.

AMA Style

Julia Siderska. APPLICATION OF TECNOMATIX PLANT SIMULATION FOR MODELING PRODUCTION AND LOGISTICS PROCESSES. Business, Management and Education. 2016; 14 (1):64-73.

Chicago/Turabian Style

Julia Siderska. 2016. "APPLICATION OF TECNOMATIX PLANT SIMULATION FOR MODELING PRODUCTION AND LOGISTICS PROCESSES." Business, Management and Education 14, no. 1: 64-73.