Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory

This paper introduces an advanced data collection and analysis system tailored for quality assurance management, leveraging the combined power of AppSheet, Google Sheets, and Looker Studio done at an automotive parts factory. This integration streamlines the process of data collection and ongoing an...

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Published in:Lecture Notes in Mechanical Engineering
Main Author: Rusli M.H.M.; Kayat S.B.; Sohaimi M.A.T.B.M.; Hassan M.K.B.
Format: Conference paper
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213336982&doi=10.1007%2f978-3-031-74485-3_45&partnerID=40&md5=efb0f0aab6dca08a74fa668959fc0604
id 2-s2.0-85213336982
spelling 2-s2.0-85213336982
Rusli M.H.M.; Kayat S.B.; Sohaimi M.A.T.B.M.; Hassan M.K.B.
Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
2024
Lecture Notes in Mechanical Engineering


10.1007/978-3-031-74485-3_45
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213336982&doi=10.1007%2f978-3-031-74485-3_45&partnerID=40&md5=efb0f0aab6dca08a74fa668959fc0604
This paper introduces an advanced data collection and analysis system tailored for quality assurance management, leveraging the combined power of AppSheet, Google Sheets, and Looker Studio done at an automotive parts factory. This integration streamlines the process of data collection and ongoing analysis, ultimately enhancing operational performance. Notably, the system monitors quality control data and supplier information in real-time while accommodating user-defined criteria. A user-friendly mobile app built with AppSheet also allows for the simultaneous addition, editing, and removal of master list data, ensuring a hassle-free experience. Looker Studio’s seamless integration with Google Sheets fosters smooth cooperation and quick updates, while the configurable reports and analytics provide vital insights into product rejection and cost analysis. Furthermore, this adaptable system is scalable and applicable to diverse industries, promising early issue detection, heightened productivity, and improved efficiency in data collection. By embracing digital transformation, this system fosters a streamlined, data-driven approach to quality control management, empowering quality assurance departments to excel in the rapidly evolving digital landscape. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Springer Science and Business Media Deutschland GmbH
21954356
English
Conference paper

author Rusli M.H.M.; Kayat S.B.; Sohaimi M.A.T.B.M.; Hassan M.K.B.
spellingShingle Rusli M.H.M.; Kayat S.B.; Sohaimi M.A.T.B.M.; Hassan M.K.B.
Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
author_facet Rusli M.H.M.; Kayat S.B.; Sohaimi M.A.T.B.M.; Hassan M.K.B.
author_sort Rusli M.H.M.; Kayat S.B.; Sohaimi M.A.T.B.M.; Hassan M.K.B.
title Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
title_short Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
title_full Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
title_fullStr Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
title_full_unstemmed Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
title_sort Development of Real-Time Quality Feedback System Using Web-Based Software for an Automotive Parts Factory
publishDate 2024
container_title Lecture Notes in Mechanical Engineering
container_volume
container_issue
doi_str_mv 10.1007/978-3-031-74485-3_45
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213336982&doi=10.1007%2f978-3-031-74485-3_45&partnerID=40&md5=efb0f0aab6dca08a74fa668959fc0604
description This paper introduces an advanced data collection and analysis system tailored for quality assurance management, leveraging the combined power of AppSheet, Google Sheets, and Looker Studio done at an automotive parts factory. This integration streamlines the process of data collection and ongoing analysis, ultimately enhancing operational performance. Notably, the system monitors quality control data and supplier information in real-time while accommodating user-defined criteria. A user-friendly mobile app built with AppSheet also allows for the simultaneous addition, editing, and removal of master list data, ensuring a hassle-free experience. Looker Studio’s seamless integration with Google Sheets fosters smooth cooperation and quick updates, while the configurable reports and analytics provide vital insights into product rejection and cost analysis. Furthermore, this adaptable system is scalable and applicable to diverse industries, promising early issue detection, heightened productivity, and improved efficiency in data collection. By embracing digital transformation, this system fosters a streamlined, data-driven approach to quality control management, empowering quality assurance departments to excel in the rapidly evolving digital landscape. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
publisher Springer Science and Business Media Deutschland GmbH
issn 21954356
language English
format Conference paper
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collection Scopus
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