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Georges Abou Haidar

Bio: Georges Abou Haidar is an academic researcher. The author has contributed to research in topics: Supply chain & Process automation system. The author has co-authored 1 publications.

Papers
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Proceedings ArticleDOI
28 May 2021
TL;DR: In this article, a solution for the task selection problem issue of RPA applied to the supply chain is presented and a case study is also presented to demonstrate the effectiveness of the designed solution.
Abstract: Robotic process automation (RPA) is one of the most emerging technology areas of the last decade. As the name implies, RPA is an approach to automate repetitive tasks in business operations. Many solutions are avail-able on the market by multiple vendors. Through the implementation of those RPA solutions, companies can achieve higher performance levels and lead a differentiating competitive edge. One of the first fields which have benefited from RPA is Supply Chain. This paper presents a solution for the task selection problem issue of RPA applied to the Supply Chain. A case study is also presented to demonstrate the effectiveness of the designed solution.

4 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper , a multivocal literature review (MLR) was conducted to explore whether there are mechanisms to improve software robot maintenance in large-scale robot environments, and whether there is a governance model for optimizing the performance of robot maintenance.
Abstract: Robotic Process Automation (RPA) performs high-volume tasks such as checking invoices. However, the governance and maintenance of large-scale software robot environments can be challenging when robot servers perform automatized tasks simultaneously for customer organizations with complex programming rules, dedicated parameters, and dependencies on timetables. A multivocal literature review (MLR) was conducted to explore whether there are 1) mechanisms to improve software robot maintenance in large-scale robot environments, 2) or software robot maintenance practices for scalable RPA in organizations providing shared services, 3) or governance models for optimizing the performance of software robot maintenance, and 4) is the Center of Excellence (CoE) one of the success factors concerning large-scale robot environments. By doing this, 5) we found eleven functional requirements for the monitoring tool to support maintenance in a large-scale environment. In addition, we adapted them to the RPA monitoring tool abilities for the Finnish Government Shared Services Centre for Finance and HR (Palkeet). As a result, the eleven functional requirements and the monitoring tool abilities are adaptable for other large-scale environments to improve software robot maintenance. However, commercial monitoring tools for RPA maintenance do not fulfil functional requirements, and organizations in large-scale environments must develop their monitoring tools. Based on MLR, either in-house or outsourced CoE seems to be one of the success factors in RPA maintenance in large-scale environments.

2 citations

Journal ArticleDOI
TL;DR: A multivocal literature review was conducted to explore whether there are mechanisms to improve software robot maintenance in large-scale robot environments, and whether either in-house or outsourced CoE seems to be one of the success factors in RPA maintenance inLarge-scale environments.
Abstract: Robotic Process Automation (RPA) performs high-volume tasks such as checking invoices. However, the governance and maintenance of large-scale software robot environments can be challenging when robot servers perform automatized tasks simultaneously for customer organizations with complex programming rules, dedicated parameters, and dependencies on timetables. A multivocal literature review (MLR) was conducted to explore whether there are 1) mechanisms to improve software robot maintenance in large-scale robot environments, 2) or software robot maintenance practices for scalable RPA in organizations providing shared services, 3) or governance models for optimizing the performance of software robot maintenance, and 4) is the Center of Excellence (CoE) one of the success factors concerning large-scale robot environments. By doing this, 5) we found eleven functional requirements for the monitoring tool to support maintenance in a large-scale environment. In addition, we adapted them to the RPA monitoring tool abilities for the Finnish Government Shared Services Centre for Finance and HR (Palkeet). As a result, the eleven functional requirements and the monitoring tool abilities are adaptable for other large-scale environments to improve software robot maintenance. However, commercial monitoring tools for RPA maintenance do not fulfil functional requirements, and organizations in large-scale environments must develop their monitoring tools. Based on MLR, either in-house or outsourced CoE seems to be one of the success factors in RPA maintenance in large-scale environments.

1 citations

Journal ArticleDOI
TL;DR: In this article , the main criteria for process automation based on scientific and professional know-how are listed and evaluated with 18 processes in six organizations with positive results, including feasibility, process description, and input and output data.
Abstract: With the increasing demand for digitalization, organizations look to emerging technologies such as Robotic Process Automation (RPA) to increase their business performance. This makes it essential to identify and select the most suitable processes to maximize the benefits for organizations. However, despite the increasing interest of academics and professionals in RPA, the literature lacks a study on the main criteria organizations should consider to decide which processes to automate. Therefore, this research lists the main criteria for process automation based on scientific and professional know-how. A systematic literature review was performed, followed by a Delphi study with RPA professionals, to tune the former insights collected from the scientific literature. Our findings point to 32 criteria that organizations and decision-makers should consider before choosing which processes to automate. Feasibility, process description, and input and output data are the three most voted. The criteria are evaluated with 18 processes in six organizations with positive results. While professionals may find valuable information in this document to help them decide which processes must be automated first, academics are now aware of which areas deserve further investigation.
Proceedings ArticleDOI
29 May 2023
TL;DR: A survey with professionals regarding the application of RPA in their organizations and a descriptive evaluation of the current state of robotic process automation adoption in the evaluated organizations in Latin America is presented in this paper .
Abstract: Context: Business processes have long relied on two types of resources to perform work: humans and information systems (IS). Despite the high performance of IS, still, much of the repetitive work has been done by humans for reasons including implementation cost and technical debt, among others. Now, robots are joining offices as a possible third workforce. Robotic Process Automation (RPA) is already a reality in many organizations, performing much of the work previously dependent on manual labor. Problem: While RPA offers innovative ways to automate work, it is also limited in automating complex activities. To propose solutions, we must understand these limitations by evaluating how organizations are automating their processes with RPA and trying to overcome these problems. Solution: In this study, we seek answers about how organizations are dealing with the limitations of RPA and what technologies are being used to create smarter automation. IS Theory: Work systems theory. Method: Questionnaire survey with professionals regarding the application of RPA in their organizations and a descriptive evaluation of the current state of RPA adoption in the evaluated organizations in Latin America. Summary of Results: While some practitioners have not perceived limitations, others reported obstacles to process unstructured data and automate complex decisions, as well as preparing bots to learn and adapt. AI techniques and business automation technologies have been experimented with as ways to surpass some limitations. Contributions and Impact to IS: This paper provides an overview of the current state of RPA adoption in Latin American organizations and how it is evolving to create smarter, more sustainable automation.