ABSTRACT
As a post-Covid-19 pandemic, many things came up with new requirements because of frequent lockdowns and social distancing constraints. Hence, many pharmaceutical industries and manufacturing units are looking for automated solutions. In the era of Industry 5.0, non-conventional machining processes are on the verge of Industry 6.0 with inclusion of artificial intelligence, deep learning and automated processes for additive or subtractive machining requirements. Non-conventional machining is in practice worldwide;however, it is required to support these kinds of manufacturing processes with remote automation, monitoring and auto-fault clearance methods. Pharmaceutical, chemical and hazardous plant handling is one of the major problems in industries throughout the world. Hence, this paper presents the automated continuous monitoring system using artificial intelligence, which can be a human machine interfacing module with a strategy to clear leakage fault automatically. This paper also discusses the various implications in conventional and non-conventional machining processes and also suggests the next generation hybrid machining system as a future scope of the research. [ FROM AUTHOR] Copyright of Journal of Pharmaceutical Negative Results is the property of ResearchTrentz and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Covid – 19 is a sudden unexpected jolt on the functioning of every sector's day-to-day work and dragged everybody to find the best alternative for the automation of processes to enable more work from home. Robotic Process Automation (RPA) is one of such promising technologies which would help in the automation of mundane everyday tasks. With this technology, software robots would be deployed to perform the repetitive tasks done by humans in various sectors. This technology is also sometimes termed software robotics. In this paper, we have studied and discussed about the different tools used for developing software robots, traditional methods of completing the task without RPA being used and also how the task is automated after the use of software robots in various fields, viz., banking, e-commerce, educational institutions, human resources, health care and office. We have also discussed the pros and cons of automating the task using robotic process automation. In short, this paper will give an overview of the emerging technology – RPA. © 2023 Seventh Sense Research Group®
ABSTRACT
Automation has been into existence since the mid Fifties but had simplest began to gain attention lately. The RPA software program makes use of existing generation's interface to automate the human detail in the technique. So, essentially, there's no want for human intervention. web scraping is a software of robot system Automation that is used in almost all of the industries. either or not it's a e-trade internet site, commodities buying and selling web sites, or any internet site and so forth. you can scrape the information from any of them based on your hobby. Now, the problem with guide scraping by hand is that it's miles at risk of mistakes and takes numerous times. also, the facts available on websites does now not change in any respect. up to date regularly, for this reason facts saved domestically might not usually be terrible. So, industries can actually automate this mission. The main objective of the project is to save time and send the updated information to the person using RPA technology. As this COVID-19 Global Pandemic going on, we thought of creating a project around COVID-19. So, in the project we will use Data Scrapping to extract Web Table (which contains COVID-19 data such as number of affected people, recovered people etc.) from web page. And, write the extracted data into Excel then we will send that excel over the email as attachment. In this project we researched how we can send data through email using RPA and extract the data from live covid_19 website. For software automation, there are many software's that are available in market. The main RPA vendors are UiPath, Automation Anywhere, and Blue Prism. So, to complete our RPA project, we have chosen UiPath which the best in the field of automation. You should be familiar with at least one of these tools before working on the following projects. This paper aims to provide RPA reviews as technical, as well as its implementation applications. © 2022 IEEE.
ABSTRACT
Businesses are very cautious about their supply chain. Any delay or disruption may lead to unimaginable loss. The COVID-19 scenario has taken this concern to an epic hyper. Businesses could not meet their customer's needs due to the lack of Human Resource during the prolonged lockdown. Companies had to either downsize or shut down. Businesses started searching for means to operate their processes with as low resources as possible. Thus, many started adopting Robotic Process Automation though it is still evolving. There are many literatures that discuss the implementation of RPA in varied streams like accounting, finance, HR, and others. Yet there is a very limited study that has focused on RPA implementation in supply chain processes. The proposed chapter showers light on the adoption of RPA in the varied stages of supply chain. A complete real-time automation use case on invoice processing is also discussed. This chapter aims to help researchers, RPA enthusiasts, and entrepreneurs to realize the time, effort, and economic benefits of implementing RPA. Thus, encouraging them to adopt RPA in their supply chain processes. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
In the current scenario, when the whole world is under stress due to the upcoming variant of the Novel Corona Virus, the Healthcare system, earlier practiced in the traditional mode, has been replaced in Digital mode with various scientific innovations like robotics which shows new thinking of perception among the people how it works in reality. Robotic Process Automation referred to as RPA, plays a significant role in today's healthcare system. The authors, through this chapter, seek to discuss the advancement of Robotic Process Automation and its link with Intellectual Property Management elaborately. The chapter begins with the authors tracing recent developments of Robotics in Healthcare through automation during COVID-19 as it has significant inception. Secondly, the authors also elaborate on how the management of IP assets created out of such a digital revolution due to accelerated and ramped-up innovation comes into the picture quite significantly. It shall enable the readers to gradually grasp the connection between the two fields. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Over the last year, the evolution in Robotic Process Automation (RPA) has been staggering. The automation it brings to applications has yielded efficiency, reduced operating costs, and decreased the time of research, development, and production. Industries have already integrated RPA into their workflow and are profoundly transforming into an intelligent automated industry with minimum human intervention, calling this the fourth industrial revolution. In this race of transformation, the healthcare industry is quite ahead of many other industries. It stood the test of time when COVID-19 was spreading rapidly and was also resilient against all odds. The system did experience an unprecedented crisis that depicted its weakness, fragility, and unpreparedness. The healthcare system was forced to adapt to a new paradigm. And though there was the loss of life and economy, we learned to evolve as a community to tackle this crisis. This chapter sheds light on the role of RPA and covers how these technologies can assist healthcare workers in their day-to-today activities, reviewing what the fourth industrial revolution would look like in the healthcare sector. The intelligent, automated system would provide a seamless experience of gathering information by various means, processing, and assisting healthcare workers to deliver quality treatment. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Artificial intelligence (AI)/digital employees, or metaphorical software robots (bots), are the foundation of the business process automation technology known as robotic process automation (RPA). The term "software robotics" has been used sometimes (not to be confused with robot software). Using internal application programming interfaces (APIs) or specialized scripting languages, a software developer creates a set of steps to automate a job and interface to the back-end system in conventional workflow automation technologies. RPA systems, on the other hand, create the action list by seeing the user carry out the job in the graphical user interface (GUI) of the programme, and then carry out the automation by repeating those actions directly in the GUI. In products that may not normally have APIs for this purpose, this can lessen the barrier to the usage of automation. Nowadays, monitoring every day covid status is not possible for an individual. So, the plan is to send an updated covid status through email automatically to the end users by using Robotic Process Automation (RPA). The main goal of this paper is to send corona information to the end users who are in need of covid details. For this, the end user wants to provide their email id and country name which they want to know about. The rest of the RPA process will be done by the bot using data scraping. Then email automation will be done to send email automatically. It is easy to check the required particular data from the cluster of data. It is easy to read and understand for all end users. Copyright © 2022 Ubiquity Press. All rights reserved.
ABSTRACT
This research article determines the most adopted and used technology by common public and end consumers during the COVID-19 pandemic and tries to determine the technologies that will continue to see increased adoption rate beyond the COVID-19 pandemic. It examines examples of how digital technologies and services have been employed in daily lives of individuals and enterprises/businesses during the COVID-19 crisis. We have used responses to the survey built using Google Forms as the method for data collection. The study undertaken was exploratory in nature to identify the most adopted and used technology among common public during the COVID-19 pandemic. We used descriptive statistics, R-test, R-squared test, and ANOVA for the study. The results show that video-based collaboration technology-related services had the highest adoption and usage among respondents, followed by process automation, mobile/web-based services and microservices, and artificial intelligence (AI) and analytics. As an implication of the study, businesses can focus upon technologies such as video-based collaboration technology, process automation, mobile/web-based services and microservices, and AI and analytics—in that order—to roll out new services and models while dealing with their end customers and prospects, during and beyond the COVID-19 pandemic.
ABSTRACT
Before the COVID-19 pandemic, the possibility of remote (out-of-office) work for employees of Rosneft’ s research centers has been considered as a distant prospect that requires a balanced assessment and approbation. Rosneft as other Russian vertically integrated companies adhered to the information security policy for corporate research and design institutes and oil and gas producing enterprises based on the assumption that the employee's workplace should be located in the office, inside the protected perimeter of the network. Under the influence of restrictive measures caused by the spread of the virus, remote work has turned from an organizational and technical innovation into a necessary condition for the continuation of the centers' activities. The article covers the experience of Tyumen Petroleum Research Center, Rosneft corporate institute, gained in the process of switching to remote work in conditions of tight deadlines and restrictions of access to public cloud services. Main characteristics of research center IT infrastructure and implementation of technical solutions of remote work reviewed. Authors analyzed effect of IT infrastructure changes and the massive emergence of remote workplaces on IT budget and activity of IT service, and assessed an impact of new business schedule on routine activity of employees, middle and highlevel managers of research center. Tyumen Petroleum Research Center does not plan to return to the previous model after pandemic, and makes a forecast for the continuation of the practice of using remote and mixed workplaces for its employees. This will not negate significance and demand of personal interaction. Based on this prospective, development of technologies and infrastructure solutions in research center during next three years will progress alongside with digital transformation of processes, intellectualization of services and increasing of employee's workplace mobility. © 2021, Neftyanoe Khozyaistvo. All rights reserved.
ABSTRACT
Learning outcomes: The learning outcomes are follows: critically assess the impact of disruptive technologies, such as automation, on the organisation, its processes and employees;evaluate the structural changes required within the organisation to prepare for digital transformation;apply change models to the unique challenges associated with disruptive technologies;and recommend solutions for the organisation to proceed with the implementation of disruptive technologies, while keeping employees central to the change. Case overview/synopsis: The Dimension Data automation case provides students and executives with a glimpse of the future that organisations and employees must prepare for. The case starts out with the protagonist and product owner of digital at Dimension Data, Andrew Harmse, reflecting on his three-year automation journey within the Automation Centre of Excellence. The world of automation is growing exponentially, and Andrew’s team will have to support the organisation as they scale up their automation journey and navigate the uncertain future of an increased, blended human-robot workforce. Individual employee reactions, positive and negative, will have to be balanced with the opportunities that ever-changing technology enables. The case focusses on the themes of digital transformation, digital disruption, change management and the very real factors to consider when faced with decision-making on automation as the world is constantly changing. The COVID-19 pandemic has forced organisations to relook processes and increase investment in technologies that enable digital client engagement and servicing, considering social distancing requirements. Automation at dimension data has been largely internally focussed, but there is a drive to increase delivery for clients. Andrew’s team will have to guide organisations through the journey and continuum of changes and uncertainties, such as large- scale unemployment and robot ethics. Complexity academic level: The target audience for this teaching case are postgraduate and Master level students, specifically Master of Business Administration (MBA) students as well as Executive Education courses. Students who are responsible for making strategic decisions that impact the future of their organisations as well as students with an interest in the role of technology in the future will benefit from the case. Supplementary materials: Teaching notes are available for educators only. Subject code: CSS 6: Human Resource Management. © 2022, Emerald Publishing Limited.
ABSTRACT
This paper aims to study how processes are selected for improvements in shared services centers (SSCs), and if the risk management aspect is considered during process improvements. Lean management has become a highly regarded platform for process improvement within organizations with the focus being on waste reduction and value added at the customer level. As a leading destination of SSCs, Poland has been seen implementing this approach since at least 2015 with the main benefit being cost reduction. This philosophy opens the door to identifying potential waste reduction and ongoing efficiencies of processes that have been migrated to SSCs. With the identification of the research need, firstly, a targeted literature review on tools and models of process selection for improvements was performed. The second step entails in-depth interviews with lean management experts, surveys with detailed questions in the area of lean management implementation, and finally a case study on measurements of testing the effectiveness of applying lean management methodology. The findings present drivers and barriers to selecting of processes subject to lean management. Although lean management activities are strongly supported by risk management experts, there is no synergy between the two streams causing the need for further research in SSCs. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
ABSTRACT
The Covid-19 pandemic has brought changes to every organization to be able to make changes quickly and adaptively. Organizations need to accelerate the use of digital technology which has an impact on changes in business processes. The use of Robotic Process Automation (RPA) technology as software can support the automation of business processes in accordance with the rules of work performed by humans. RPA is a new technology that can be adopted by organizations to achieve various automation goals in the form of accuracy, efficiency, increase productivity and reduce operational costs. This research was conducted at one of the private bank in Indonesia. The purpose of this study is to provide an overview of the development of robotic process automation (RPA) in order to achieve various organizational automation goals. Data collection is carried out from primary data obtained by company employees who have used RPA and analyzed the condition of business process automation in various work units. In addition, interviews were conducted to identify the requirements for RPA development based on the needs and expectations of the automation objectives of the work unit. Secondary data were also obtained from a literature review on the implementation and benefits of RPA. The results show that the business process automation development company's has implemented 150 units of RPA robots in various work units ranging from operations, human capital, finance, compliance, and others. This research is expected to assist organizations in making decisions on the use of RPA and Automation Center of Excellence (CoE) support in order to achieve automation and digitization of business processes. © 2021 ACM.
ABSTRACT
Machine learning and digitization have been around for several years, but their use has become a necessity with the Covid-19 pandemic. Lockdown forced us to work remotely overnight, to use digital networks to communicate, make payments, learn all sectors of activity were forced to adapt to the digital age in one night. Digitization and involvement of machine learning become a necessity with the Covid-19 pandemic. This paper shows how artificial intelligence can be used to improve the effectiveness of teaching, research, and study plan, by adapting the new communication technologies and students' needs to achieve the course learning outcomes in a virtual environment. The paper proposes three ways of using artificial intelligence in higher education, namely physical robot at the entrance of the campus to guide the visitors, robotic process automation to assist admission and registration process, and robotic process automation to aid professors in student's evaluation process and improve the academic study plan.
ABSTRACT
The recent worldwide outbreak Corona Virus Disease 2019 (COVID-19) had an impact on our daily lifestyle enormously. The enterprises have reconsidered their work practices to cope up with the new scenario and a severe impact has been observed in different sectors including manufacturing, shipping and distribution of products. Different Internet of Things (IoT) infrastructures allowed us to obtain some better solutions throughout the decade and it also became one of the most researched areas due to the convergence with other emerging technologies like artificial intelligence, cloud computing, etc. In the pandemic era also, IoT has proved its efficiency in different online platforms like e-medicine, e-learning, online shopping, etc. On the other hand, the global trend is moving towards sustainability and hence sustainable solutions in different sectors are in high demand. Though IoT helps to reduce energy consumption in different applications, still environmental concern regarding IoT components has been raised recently since the modern electronics and IoT devices are often difficult to recycle. In this chapter, sustainability of different IoT infrastructures will be reviewed and their applicability in appropriate domains will be analysed for the post-COVID-19 era. Different challenges will be attempted to be identified for future redress satisfying the customer requirement and a possible future direction will be provided based upon the current research findings. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The COVID19 pandemic has created tremendous challenges in the learning and education sector. Schools and universities are forced to close and most teaching activities have to be organized with very limited physical and social interaction between the teachers and students, and also among students. This is particularly difficult for certain learning activity, such as laboratory work where it usually involve the student's direct interaction with equipments in the school and sometimes the need to work together with the their peers in the same space while interacting with the equipments. This paper presents an experience in shifting the delivery method of a process automation laboratory course at Aalto University from face to face teaching into hybrid due to the restrictionc caused by the pandemic. This paper describes the rework process of the course to realize this shift, and after the course, feedbacks are gathered from the student to see if the approach taken is welcomed by the students. The feedback appears promising, indicating 66% of the respondents agree that they like the hybrid method approach considered. © 2021 IEEE.
ABSTRACT
BACKGROUND: To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clínicas of the Faculdade de Medicina da Universidade de São Paulo during the COVID-19 pandemic. OBJECTIVE: The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect on the nurses' time required for screening and the waiting time for patients to receive medical care. METHODS: This was a single-center, comparative, prospective study designed according to the Public Health England guide "Evaluating Digital Products for Health." A total of 38,042 visits were analyzed over 18 months to determine the impact of implementing the digital solution. Medical care registration, health screening, and waiting time for medical care were compared before and after implementation of the digital solution. RESULTS: The digital solution automated 92% of medical care registrations. The time for health screening increased by approximately 16% during the implementation and in the first 3 months after the implementation. The waiting time for medical care after automation with the digital solution was reduced by approximately 12 minutes compared with that required for visits without automation. The total time savings in the 12 months after implementation was estimated to be 2508 hours. CONCLUSIONS: The digital solution was able to reduce nonvalue-added activities, without a substantial impact on health screening, and further saved waiting time for medical care in an urgent care service in Brazil during the COVID-19 pandemic.
ABSTRACT
Since COVID-19, many educational institutions have focused their attention towards remote digital synchronous learning. While this new kind of learning brings some advantages, it also brings new challenges like keeping the students focused and engaged in the courses being given. Through this paper we introduce a learning strategy based on some of the principles of speed-dating, a tool that has been explored in the entrepreneurship world for networking, in order to maintain the students’ focus in the class activities and topics. The proposal was tested in a Process Automation course for Chemical and Biotechnology Engineers, which is usually not one of their preferred ones due to its complexity in relation to other courses. A framework for incorporating the activities in other courses is presented, along with preliminary quantitative and qualitative results to evaluate its efficacy. © 2021, IFIP International Federation for Information Processing.