scholarly journals An IIoT-based architecture for decision support in the aeronautic industry

2019 ◽  
Vol 304 ◽  
pp. 04004
Author(s):  
Roberto Vita ◽  
Narciso Caldas ◽  
João Basto ◽  
Symone Alcalá ◽  
Flavio Diniz

The Industry 4.0 movement is driving innovation in manufacturing through the application of digital technologies, leading to solid performance improvements. In this context, this paper introduces a real-time analytical framework based on predictive, simulation and optimization technologies applied to decision support in manufacturing systems, enabled by an underlying reference implementation of an open Industrial Internet of Things (IIoT) platform. This architecture integrates critical equipment, manufacturing and corporate systems through a Unified IIoT Cloud Platform. A real case study on the aeronautic industry demonstrates the proposal feasibility of this architecture to enhance productivity, predict equipment failures and bring agility to react to unexpected events. In this case study, the monitoring tool displays the current status of the critical resources and the predictive tool calculates a probability of failure. When this probability reaches a certain threshold, the simulation tool is triggered to evaluate the impact of the disruption in the system’s productivity. Results from the tools are displayed online through an alert system so that each stakeholder is informed timely and in a contextualized way.

2012 ◽  
pp. 581-600
Author(s):  
Jan van den Berg ◽  
Guido van Heck ◽  
Mohsen Davarynejad ◽  
Ron van Duin

Enterprise Resource Planning systems have been introduced to support the efficient and effective execution of business processes. In practice, this may not fully succeed. This also holds in particular for inventory management (IM), which forms a part of supply chain management. Within this research, by analyzing the IM business process theoretically, eleven potential benefits are indicated. Next, by using a Business Intelligence approach, key performance indicators (KPIs) are selected to measure the performance of IM sub-processes. Integration of these approaches yields an IM performance decision support framework that can be used to obtain a generic, coherent picture of the fundamental IM processes in an organization. In addition, by tracking and analyzing KPI measurements, adequate decisions can be prepared towards the improvement of the operational IM performance. The proposed framework is validated using experts’ opinions and a comparative case study. The experts’ comments yielded a list of top-10 KPIs, based on the measurements of which a set of quick wins can be determined. The case study results show that some of the identified potential benefits are also observed in practice. Future research may reveal that comparable performance improvements are possible in other IM environments (and even in other supply chain domains) based on similar decision support frameworks.


Author(s):  
Frédéric Adam ◽  
Jean-Charles Pomerol ◽  
Patrick Brézillon

In this article, a newspaper company which has implemented a computerised editorial system is studied in an attempt to understand the impact that groupware systems can have on the decision making processes of an organisation. First, the case study protocol is presented, and the findings of the case are described in detail. Conclusions are then presented which pertain both to this case and to the implementation of decision support systems that have a groupware dimension.


10.2196/18973 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e18973 ◽  
Author(s):  
Melita Avdagovska ◽  
Mark Ballermann ◽  
Karin Olson ◽  
Timothy Graham ◽  
Devidas Menon ◽  
...  

Background Giving patients access to their health information is a provincial and national goal, and it is critical to the delivery of patient-centered care. With this shift, patient portals have become more prevalent. In Alberta, the Alberta Health Services piloted a portal (MyChart). There was a need to identify factors that promoted the use of this portal. Furthermore, it was imperative to understand why there was variability in uptake within the various clinics that participated in the pilot. Objective This study aims to identify potential factors that could improve the uptake of MyChart from the perspectives of both users and nonusers at pilot sites. We focused on factors that promoted the use of MyChart along with related benefits and barriers to its use, with the intention that this information could be incorporated into the plan for its province-wide implementation. Methods A qualitative comparative case study was conducted to determine the feasibility, acceptability, and initial perceptions of users and to identify ways to increase uptake. Semistructured interviews were conducted with 56 participants (27 patients, 21 providers, 4 nonmedical staff, and 4 clinic managers) from 5 clinics. Patients were asked about the impact of MyChart on their health and health care. Providers were asked about the impact on the patient-provider relationship and workflow. Managers were asked about barriers to implementation. The interviews were recorded, transcribed verbatim, and entered into NVivo. A thematic analysis was used to analyze the data. Results Results from a comparison of factors related to uptake of MyChart in 5 clinics (2 clinics with high uptake, 1 with moderate uptake, 1 with low uptake, and 1 with no uptake) are reported. Some theoretical constructs in our study, such as intention to use, perceived value, similarity (novelty) of the technology, and patient health needs, were similar to findings published by other research teams. We also identified some new factors associated with uptake, including satisfaction or dissatisfaction with the current status quo, performance expectancy, facilitating conditions, behavioral intentions, and use behavior. All these factors had an impact on the level of uptake in each setting and created different opportunities for end users. Conclusions There is limited research on factors that influence the uptake of patient portals. We identified some factors that were consistent with those reported by others but also several new factors that were associated with the update of MyChart, a new patient portal, in the clinics we studied. On the basis of our results, we posit that a shared understanding of the technology among patients, clinicians, and managers, along with dissatisfaction with nonportal-based communications, is foundational and must be addressed for patient portals to support improvements in care.


2011 ◽  
Vol 383-390 ◽  
pp. 4653-4659
Author(s):  
Amro F. Alasta ◽  
Muftah A. Enaba

Since the use of computers in business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in database. Database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size increases, the need for more control and information retrieval increase. These increases lead to the development of data mining systems and data warehouses. This paper focuses on the use of data warehouse as a supporting tool in decision making. We to study the effectiveness of data warehouse techniques in the sense of time and flexibility in our case study (Manpower Employment). The study will conclude with a comparison of traditional relational database and the use of data warehouse. The fundamental role of data warehouse is to provide data for supporting decision-making process. Data in data warehouse environment is multidimensional data store. We can simply say that data warehouse is a process not a product, for assembling and managing data from various sources for the purpose of gaining a single detailed view of part or all an establishment. The data warehouse concept has changed the nature of decision support system, by adding new benefits for improving and expanding the scope, accuracy, and accessibility of data. The warehouse is the link between the application and raw data, which is scattered in separate database but now is unified. The objectives of this work are to study the impact of using data warehouse on Manpower Employment Decision Support System, in the sense as far as the data quality concern. We will focus on the benefits gained from using data warehouse, and why it is more powerful than the use of traditional databases in decision making. The case study will be the Libyan national manpower employment agency. The data warehouse will collect database scattered from different sources in Libya in order to compare the performance and time.


2021 ◽  
Author(s):  
◽  
Sophia Constance Negus

This thesis investigates the impacts of Universal Credit (UC) on emotions, wellbeing, identities, and the ‘self’. The findings are of growing importance as increasing numbers of people are receiving UC. Six million people now engage with a ‘violent’ system (Cooper and Whyte, 2017) which pushes people further from the labour market, society, health, and their ‘self’. UC introduced radical changes to British working-age social security, with aims to ‘simplify’ the system, reduce costs and fraud, and ‘make work pay’. Since launching in 2013, there has been growing evidence on the negative impacts of UC, yet, little is known about the impact UC has on emotions, wellbeing, identities, and the ‘self’, a gap in knowledge this thesis addresses. A geographically bound case-study was adopted using semi-structured interviews and participant-solicited diaries to investigate the diverse realities and impacts of UC. The analytical framework utilises several concepts and theories, drawing upon Elias (1994) as it is argued UC is a ‘civilising offensive’ (Powell, 2013), and Goffman (1997/2007) to explore the impacts on identities. This thesis provides empirical contributions to knowledge surrounding the extent and severity of the impacts of UC on emotions and the ‘self’. The research found that harm inflicted from UC carries serious consequences and the experiences indicate a systemic erosion of people, lives, and possibilities. The findings demonstrate how UC is experienced as dehumanizing and destabilising of emotions, wellbeing and the ‘self’. It provides important insights into how people respond to UC and the significant resources spent on ‘self-management’ as individuals attempt to preserve their identities which are under threat from institutional scrutiny, stigma and increasing poverty. Therefore, this thesis provides an important contribution to knowledge surrounding the corrosive nature of UC.


2019 ◽  
Vol 9 (14) ◽  
pp. 2835
Author(s):  
Aidong Hou ◽  
Shengli Jin ◽  
Dietmar Gruber ◽  
Harald Harmuth

Artificial neural network (ANN) is widely applied as a predictive tool to solve complex problems. The performance of an ANN model is significantly affected by the applied architectural parameters such as the node number in a hidden layer, which is largely determined by the complexity of cases, the quality of the dataset, and the sufficiency of variables. In the present study, the impact of variation/response space complexity and variable completeness on backpropagation (BP) ANN model establishment was investigated, with a steel ladle lining from secondary steel metallurgy as the case study. The variation dataset for analysis comprised 160 lining configurations of ten variables. Thermal and thermomechanical responses were obtained via finite element (FE) modeling with elastic material behavior. Guidelines were proposed to define node numbers in the hidden layer for each response as a function of the node number in the input layer weighted with the percent value of the significant variables contributing above 90% to the response, as well as the node number in the output layer. The minimum numbers of input variables required to achieve acceptable prediction performance were three, five, and six for the maximum compressive stress, the end temperature, and the maximum tensile stress.


2010 ◽  
Vol 12 (02) ◽  
pp. 155-183 ◽  
Author(s):  
ZHIXI ZHU ◽  
HUIZHI WANG ◽  
HE XU ◽  
HONGTAO BAI

This paper advocates a modification of the impact-based approach to strategic environmental assessment (SEA) which seems unable to address institutional weaknesses in most conventional SEA cases in China. It identifies a possible alternative approach, i.e. an impact-centred SEA with institutional components, and presents an analytical framework for institutional analysis, including a four-phase methodology to address and improve institutional weaknesses. Subsequently, the analytical framework is applied to an SEA pilot for a provincial transport plan in China. The case study demonstrates (1) that the proposed approach is adequate even in relatively fixed SEA processes; and (2) that the components and the logical relationships among factors elaborated on in the analytical framework are reasonable. In addition, the components of the framework that need to be improved and the perspectives for future application are discussed.


2008 ◽  
Vol 54 (No. 11) ◽  
pp. 521-528 ◽  
Author(s):  
Zhang Tao

Rice is the main food in China’s home consumption and plays an important role in its food security. But, how is the status of food safety and environmental efficiency in China’s agriculture? Obviously, an incorrect manner of pesticide application will hold negative effects on human health and environment. In this article, we develop an analytical framework based on the Luenberger DEA method to calculate the output technical efficiency and input environmental efficiency simultaneously. In the second-stage analysis, the stochastic frontier model is used to estimate the impact of explanatory variables and managerial efficiency on efficiency. We apply the methodology in the empirical case study of China’s rice production for measuring the food safety performance of China’s rice sector.


2020 ◽  
Vol 7 (6) ◽  
pp. 1162-1171 ◽  
Author(s):  
Bita Naghmeh-Abbaspour ◽  
Tengku Sepora Tengku Mahadi ◽  
Marlina Jamal

Purpose: The current research investigates the translator’s lexical choices in terms of ideological concepts of The Essential Rumi. Moreover, by providing an overview of the social context of the target society, the study supports the logic behind the lexical choices. Methodology: Based on the association of ideology and critical discourse analysis as well as considering manipulation as one of the central concepts of it, the study employs CDA as its theoretical and analytical framework. Main Findings: The finding reveals that the Islamic ideology of Rumi’s poetry is extremely manipulated based on the dominant ideological trends of the target social context. Applications: The current study will contribute to the discipline of translation studies in general and the field of literary translation in particular. Novelty/Originality: Although the extraordinary fascination of North American poetry readers toward Rumi attracted numerous scholars of different fields, the lack of a textual study is strongly felt in this area. Therefore, to fill this void, the present study is going to investigate the congruency of the ideological load of Rumi’s original poetry and Barks’ translations of it at the lexical level.


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