Issue |
E3S Web Conf.
Volume 484, 2024
The 4th Faculty of Industrial Technology International Congress: Development of Multidisciplinary Science and Engineering for Enhancing Innovation and Reputation (FoITIC 2023)
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Article Number | 01018 | |
Number of page(s) | 7 | |
Section | Manufacturing, Process, and Business Advancement | |
DOI | https://doi.org/10.1051/e3sconf/202448401018 | |
Published online | 07 February 2024 |
Development of descriptive analysis module within a cloud-based quality analyser: Case study in a guitar industry
Department of Industrial Engineering, Institut Teknologi Nasional Bandung, Indonesia
* Corresponding author: fahmi.arif@itenas.ac.id
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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