An Interactive Visualization Web Application for Industrial-Focused Statistical Process Control Analysis

Dharshini Devi Subramaniam, Soon Chong Johnson Lim
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Abstract

Statistical process control (SPC) implementation plays a major role in quality assurance during the manufacturing process. Nevertheless, the adoption rate of SPC commercial software solutions is unsatisfactory in most Malaysian manufacturing companies due to high software subscription costs and difficulties in applying the software without proper know-how, guidance, and training. This study proposes the development of a purpose-built interactive data visualization web application for rapid SPC analysis in the manufacturing industry using open-sourced software packages. An agile software development model is applied as the software development methodology. In the requirement phase, an interview session was conducted to identify project requirements among stakeholders, i.e. industrial practitioners that are involved with SPC analysis. Based on the feedback and expectations from stakeholders, a design of a web application for SPC analysis that incorporates interactive parameter settings and automated reporting was proposed. The web application was developed using the R programming language and the Shiny package library, and deployed at ShinyApps.io, a web service provider. For evaluation, a usability testing procedure was designed and conducted with five industrial SPC practitioners to determine the usefulness of the web application. The outcome of the usability testing indicated positive results and feedback from evaluators. In conclusion, the developed web-app can assist users, particularly from the manufacturing industry sectors, to perform fast SPC data analytics, visualization, and reporting with ease.
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用于工业统计过程控制分析的交互式可视化Web应用程序
统计过程控制(SPC)的实施在生产过程的质量保证中起着重要作用。然而,SPC商业软件解决方案的采用率在大多数马来西亚制造公司中并不令人满意,因为高昂的软件订购成本和在没有适当的专业知识、指导和培训的情况下应用软件的困难。本研究建议使用开源软件包开发一个专用的交互式数据可视化web应用程序,用于制造业的快速SPC分析。采用敏捷软件开发模型作为软件开发方法。在需求阶段,进行了一次访谈,以确定涉众(即参与SPC分析的行业从业者)之间的项目需求。基于利益相关者的反馈和期望,提出了一个包含交互式参数设置和自动报告的SPC分析web应用程序的设计。该web应用程序是使用R编程语言和Shiny包库开发的,并部署在ShinyApps上。Io,一个网络服务提供商。为了评估,设计了一个可用性测试程序,并与五个工业SPC从业者一起进行,以确定web应用程序的有用性。可用性测试的结果表明了积极的结果和评估人员的反馈。总之,开发的web应用程序可以帮助用户,特别是来自制造业部门的用户,轻松执行快速SPC数据分析,可视化和报告。
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来源期刊
Songklanakarin Journal of Science and Technology
Songklanakarin Journal of Science and Technology Multidisciplinary-Multidisciplinary
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
25 weeks
期刊介绍: Songklanakarin Journal of Science and Technology (SJST) aims to provide an interdisciplinary platform for the dissemination of current knowledge and advances in science and technology. Areas covered include Agricultural and Biological Sciences, Biotechnology and Agro-Industry, Chemistry and Pharmaceutical Sciences, Engineering and Industrial Research, Environmental and Natural Resources, and Physical Sciences and Mathematics. Songklanakarin Journal of Science and Technology publishes original research work, either as full length articles or as short communications, technical articles, and review articles.
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