Enhancing manufacturing quality system using cloud-based quality analyzer

Arif, Fahmi; Toha, Isa Setiasyah

doi:10.1063/5.0115097

Cited by 2 publications

(3 citation statements)

References 34 publications

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“…However, its implementation poses challenges for companies with limited resources. Addressing this issue, [7] proposed the framework of the cloud-based quality analyser (CQA). CQA is designed to conduct separate modules for descriptive and predictive quality analyses.…”

Section: Introductionmentioning

confidence: 99%

Enabling Predictive Analysis in the Cloud-Based Quality Analyser: A Case Study in the Guitar Industry

Pratama,

Arif,

Irianti

2024

E3S Web Conf.

Self Cite

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The cloud-based quality analyser (CQA) is a conceptual framework that has been proposed to perform quality analysis in manufacturing by reducing the dependency to the human quality engineer with respect to faster and more accurate information. The manufacturing industry is currently experiencing significant growth due to increased digitization and automation. The problem arises when facing large volumes of data that need to be processed quickly, leading to a decrease in prediction accuracy. This research aims to develop a predictive analysis module to be implemented in the CQA that was able to perform data preparation, model building, and evaluation. By employing the waterfall methodology, this study developed and implemented the descriptive analysis module in the CQA environment. To assess the module’s effectiveness, a case study was carried out in the context of guitar manufacturing. The outcomes indicated that the module performed effectively in developing a quality prediction model using historical data. Additionally, the user acceptance test affirmed the module’s acceptability among users. However, to fully gauge the benefits of implementing this module, further case studies across various industries are necessary.

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Section: Introductionmentioning

confidence: 99%

Enabling Predictive Analysis in the Cloud-Based Quality Analyser: A Case Study in the Guitar Industry

Pratama,

Arif,

Irianti

2024

E3S Web Conf.

Self Cite

View full text Add to dashboard Cite

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“…A system known as Cyber Physical System (CPS) involves interconnected computer systems that interact with the physical world via sensors and actuators [1]. This technology facilitates information distribution and automated control, representing a key feature of Industry 4.0 in manufacturing [2]. A study by [3] emphasises that as Industry 4.0 progresses, quality analysis processes must shift toward data-centric methods.…”

Section: Introductionmentioning

confidence: 99%

“…Cloud-based quality analyser (CQA) was introduced by [2] to serve as a quality analysis system, examining process parameters and generating output in the form of reports, warnings, control charts, and predictive models. This system swiftly conducts data-based quality analysis without necessitating the involvement of a human quality engineer.…”

Section: Introductionmentioning

confidence: 99%

Development of descriptive analysis module within a cloud-based quality analyser: Case study in a guitar industry

Raihanah,

Arif,

Muhammad Baisa

2024

E3S Web Conf.

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Along with the revolution of the manufacturing world, companies face a new challenge to continuously improving their production processes to meet the escalating demand for high-quality goods in a fiercely competitive market. The previous concept of Cloud-Based Quality Analyzer (CQA) can be used as a real-time monitoring software that provides information of the on-going process. This concept can be implemented as an effort to achieve high quality manufacturing. This study aimed to develop the descriptive analysis module to realise the concept of CQA and evaluate its ability in realising online quality monitoring process. By employing the waterfall methodology, this study developed and implemented the descriptive analysis module in the CQA environment. The module was implemented in a case study in guitar manufacturing. The result showed that this module worked perfectly in displaying the multivariate process control chart and successfully gave the warning when some processes were in out-ofcontrol state. Furthermore, the user acceptance test also showed a positive response from the users. The descriptive analysis module was believed able to enhance the quality of manufacturing process while reducing the dependencies to the human quality engineers. However, more case studies in various industries were required to evaluate the benefit of implementing this module.

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Enhancing manufacturing quality system using cloud-based quality analyzer

Cited by 2 publications

References 34 publications

Enabling Predictive Analysis in the Cloud-Based Quality Analyser: A Case Study in the Guitar Industry

Enabling Predictive Analysis in the Cloud-Based Quality Analyser: A Case Study in the Guitar Industry

Development of descriptive analysis module within a cloud-based quality analyser: Case study in a guitar industry

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