scholarly journals Inovação baseada em dados (Data Driven Innovation) para o desenvolvimento da qualidade em serviços em organização pública com produção industrial/ Data Driven innovation for service quality development on an industrial public organization

2021 ◽  
Vol 7 (10) ◽  
pp. 96582-96604
Author(s):  
Caroline Maia do Carmo Vianna Dantas ◽  
Thiago Borges Renault
Keyword(s):  
Service Quality ◽  
Data Driven ◽  
Public Organization ◽  
Quality Development ◽  
Industrial Data

scholarly journals Industrial Data-Driven Monitoring Based on Incremental Learning Applied to the Detection of Novel Faults

2020 ◽  
Vol 16 (9) ◽  
pp. 5985-5995 ◽  
Author(s):  
Juan Jose Saucedo-Dorantes ◽  
Miguel Delgado-Prieto ◽  
Roque Alfredo Osornio-Rios ◽  
Rene de Jesus Romero-Troncoso
Keyword(s):  
Incremental Learning ◽  
Data Driven ◽  
Industrial Data

scholarly journals Extracting Value from Industrial Alarms and Events: A Data-Driven Approach Based on Exploratory Data Analysis

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2772 ◽  
Author(s):  
Aguinaldo Bezerra ◽  
Ivanovitch Silva ◽  
Luiz Affonso Guedes ◽  
Diego Silva ◽  
Gustavo Leitão ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Exchange ◽  
Data Science ◽  
Exploratory Data Analysis ◽  
Data Driven ◽  
Industrial Data ◽  
Industrial Big Data ◽  
Data Driven Approach ◽  
Exploratory Data

Alarm and event logs are an immense but latent source of knowledge commonly undervalued in industry. Though, the current massive data-exchange, high efficiency and strong competitiveness landscape, boosted by Industry 4.0 and IIoT (Industrial Internet of Things) paradigms, does not accommodate such a data misuse and demands more incisive approaches when analyzing industrial data. Advances in Data Science and Big Data (or more precisely, Industrial Big Data) have been enabling novel approaches in data analysis which can be great allies in extracting hitherto hidden information from plant operation data. Coping with that, this work proposes the use of Exploratory Data Analysis (EDA) as a promising data-driven approach to pave industrial alarm and event analysis. This approach proved to be fully able to increase industrial perception by extracting insights and valuable information from real-world industrial data without making prior assumptions.

Data-Driven Analytical Tools for Characterization of Productivity and Service Quality Issues in IT Service Factories

2013 ◽  
Vol 16 (3) ◽  
pp. 295-310 ◽  
Author(s):  
Victor F. Cavalcante ◽  
Claudio S. Pinhanez ◽  
Rogério A. de Paula ◽  
Carolina S. Andrade ◽  
Cleidson R. B. de Souza ◽  
...  
Keyword(s):  
Service Quality ◽  
Data Driven ◽  
It Service ◽  
Quality Issues ◽  
Analytical Tools

scholarly journals Challenges for the DOE methodology related to the introduction of Industry 4.0

2020 ◽  
Vol 26 (4) ◽  
pp. 190-194
Author(s):  
Jacek Pietraszek ◽  
Norbert Radek ◽  
Andrii V. Goroshko
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Integration ◽  
Design Of Experiments ◽  
Industry 4.0 ◽  
Data Stream ◽  
Data Driven ◽  
Industrial Data ◽  
Existing Problems

AbstractThe introduction of solutions conventionally called Industry 4.0 to the industry resulted in the need to make many changes in the traditional procedures of industrial data analysis based on the DOE (Design of Experiments) methodology. The increase in the number of controlled and observed factors considered, the intensity of the data stream and the size of the analyzed datasets revealed the shortcomings of the existing procedures. Modifying procedures by adapting Big Data solutions and data-driven methods is becoming an increasingly pressing need. The article presents the current methods of DOE, considers the existing problems caused by the introduction of mass automation and data integration under Industry 4.0, and indicates the most promising areas in which to look for possible problem solutions.

E-service Quality: Development and Validation of the Scale

2020 ◽  
pp. 097215092092045 ◽  
Author(s):  
Baljit Kaur ◽  
Jasveen Kaur ◽  
Shivendra Kumar Pandey ◽  
S. Joshi
Keyword(s):  
Service Quality ◽  
Information Quality ◽  
Relevant Literature ◽  
Perceived Quality ◽  
Security And Privacy ◽  
Quality Development ◽  
System Availability ◽  
Customer Expectations ◽  
Quality Scale ◽  
Development And Validation

The present study develops, refines and validates a scale to measure e-service quality. A total of 545 respondents were approached and employed EFA and CFA. Potential items were drawn from relevant literature. The developed e-service quality scale has six dimensions, namely: information quality and usability, reliability, security and privacy, efficiency, system availability and assurance. The findings reveal that information quality and usability was the most significant factor, followed by reliability in contributing to e-service quality. Practitioners may utilize the scale to measure e-service quality and take steps to bridge the gap between customer expectations and perceived quality.

scholarly journals Kinerja Seksi Usaha Ekonomi Masyarakat Dalam Pemberdayaan Pengelola Badan Usaha Milik Desa (BUMDES) Di Kabupaten Subang

2020 ◽  
pp. 93-111
Author(s):  
Yeni Nuraeni
Keyword(s):  
Service Quality ◽  
Monitoring And Evaluation ◽  
Public Organization ◽  
Business Section

Seksi Usaha Ekonomi Masyarakat dalam Pemberdayaan Pengelola Badan Usaha Milik Desa (BUMDES) di Kabupaten Subang dalam hubungannya dengan teori kinerja organisasio yaitu produktifitas, kualitas layanan, responsivitas, responsibilitas dan akuntabilitas. Hasil penelitian menunjukan bahwa Kinerja Seksi Usaha Ekonomi Masyarakat dalam Pemberdayaan Pengelola Badan Usaha Milik Desa (BUMDES) di Kabupaten Subang secara umum belum optimal. Hal ini dapat dilihat dari jumlah BUMDES yang belum terealisasi sesuai target, 30% dari 78 BUMDES yang terdata di 30 Kecamatan dalam kondisi tidak berjalan, pelaksanaan monitoring dan evaluasi dilakukan sementara waktu serta keterlambatan dalam pelaporan.   This research and writing discusses matters relating to the Performance of the Community Economic Business Section in Empowering the Management of Village-Owned Enterprises (BUMDES) in Subang Regency in relation to the theory of public organization perpormance namely productivity, service quality, responsiveness, responsibility and accountability. The results of the study showed that the Performance of the Community’s Economic Business Section in Empowering Managers of Village-Owned Enterprises (BUMDES) in Subang district in general was not optimal. This can be seen from the number of BUMDES that have not been realized according to the target, 30% of the 78 BUMDES recorded in 30 sub-districts were not functioning, the monitoring and evaluation carried out temporarily as well as delays in reporting.

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