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JavaScript MEAN stack application approach for real-time nonconformity management in SMEs as a quality control aspect within Industry 4.0 concept.

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Title: JavaScript MEAN stack application approach for real-time nonconformity management in SMEs as a quality control aspect within Industry 4.0 concept.
Authors: Đorđević, Aleksandar1 (AUTHOR) adjordjevic@kg.ac.rs, Stefanovic, Miladin1 (AUTHOR), Petrović, Tijana1 (AUTHOR), Erić, Milan1 (AUTHOR), Klochkov, Yury2 (AUTHOR), Mišić, Milan3 (AUTHOR)
Source: International Journal of Computer Integrated Manufacturing. May2024, Vol. 37 Issue 5, p630-651. 22p.
Subjects: Scripting languages (Computer science), Computer software quality control, Manufacturing defects, Databases, Conformity
Abstract: Throughout industrialisation, and hence, in the Industry 4.0 era, manufacturing organisations strived to minimise nonconformities and reach zero defect manufacturing. This paper aims to propose a software solution for the detection of nonconformities and the definition of preventive and corrective actions that expands the use of edge devices in compliance with the Industry 4.0 paradigm. The software solution design presented hereafter is based on JavaScript frameworks combined in MEAN stack. The main contributions of this paper reflect in the presentation of the software solution, which allows an affordable identification and reporting of the nonconformities amidst heavy workload, integrated with other software modules for the quality analysis, problem solving, and in the comparison of the execution and subsequent performance between the established solution and prevalently used solutions based on scripting language and a relational database for a similar purpose. One-way ANOVA tests were carried out so that the performance of the considered technologies could be compared. The novelty aspects of this research are the utilization of the presented solution for real-time nonconformity categorization and the comparison to prevalently used solutions, which indicate that the proposed solution is reliable and that it performs database queries at a rate that is relatively effective. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract 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 abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: JavaScript MEAN stack application approach for real-time nonconformity management in SMEs as a quality control aspect within Industry 4.0 concept.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Integrated+Manufacturing%22">International Journal of Computer Integrated Manufacturing</searchLink>. May2024, Vol. 37 Issue 5, p630-651. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Scripting+languages+%28Computer+science%29%22">Scripting languages (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+quality+control%22">Computer software quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+defects%22">Manufacturing defects</searchLink><br /><searchLink fieldCode="DE" term="%22Databases%22">Databases</searchLink><br /><searchLink fieldCode="DE" term="%22Conformity%22">Conformity</searchLink>
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  Label: Abstract
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  Data: Throughout industrialisation, and hence, in the Industry 4.0 era, manufacturing organisations strived to minimise nonconformities and reach zero defect manufacturing. This paper aims to propose a software solution for the detection of nonconformities and the definition of preventive and corrective actions that expands the use of edge devices in compliance with the Industry 4.0 paradigm. The software solution design presented hereafter is based on JavaScript frameworks combined in MEAN stack. The main contributions of this paper reflect in the presentation of the software solution, which allows an affordable identification and reporting of the nonconformities amidst heavy workload, integrated with other software modules for the quality analysis, problem solving, and in the comparison of the execution and subsequent performance between the established solution and prevalently used solutions based on scripting language and a relational database for a similar purpose. One-way ANOVA tests were carried out so that the performance of the considered technologies could be compared. The novelty aspects of this research are the utilization of the presented solution for real-time nonconformity categorization and the comparison to prevalently used solutions, which indicate that the proposed solution is reliable and that it performs database queries at a rate that is relatively effective. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract 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 abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/0951192X.2023.2228274
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 630
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      – SubjectFull: Scripting languages (Computer science)
        Type: general
      – SubjectFull: Computer software quality control
        Type: general
      – SubjectFull: Manufacturing defects
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      – SubjectFull: Conformity
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      – TitleFull: JavaScript MEAN stack application approach for real-time nonconformity management in SMEs as a quality control aspect within Industry 4.0 concept.
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            NameFull: Đorđević, Aleksandar
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            NameFull: Stefanovic, Miladin
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              M: 05
              Text: May2024
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