Publicação
QualyTools: an online collection of tools for quality management and control
| Resumo: | Quality practitioners use a varied set of tools to diagnose, stabilize, improve and control business processes and aid in decision making. Most of the tools are well known and several implementations exist across statistical software packages or other software, and online resources. While some tools are generic (e.g. a histogram) other tools are more specific to quality (e.g. a control chart), but they are often integrated into expensive software bundles that are of little use for quality practitioners. We developed an application (QualyTools) that integrates a set of essential tools for quality management and control. These tools cover common needs and include distribution analysis (histogram and scatter plots), Pareto charts, control charts, and capability analysis. The tools were implemented in an application developed using the R shiny package and framework. The collection was published online and can be freely used. We also kept the application code open to collaboration, by means of a GitHub repository. The primary objective of the application is to provide an integrated, efficient and accessible solution for statistical and visual analyses, allowing users to transform data into relevant information to support decision making. The tools can be a resource for practitioners and quality management students. |
|---|---|
| Autores principais: | Barreto, Paulo Gomm |
| Outros Autores: | Duarte, António |
| Assunto: | Quality Tools Statistical Process Control R shiny Open Source |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | Quality practitioners use a varied set of tools to diagnose, stabilize, improve and control business processes and aid in decision making. Most of the tools are well known and several implementations exist across statistical software packages or other software, and online resources. While some tools are generic (e.g. a histogram) other tools are more specific to quality (e.g. a control chart), but they are often integrated into expensive software bundles that are of little use for quality practitioners. We developed an application (QualyTools) that integrates a set of essential tools for quality management and control. These tools cover common needs and include distribution analysis (histogram and scatter plots), Pareto charts, control charts, and capability analysis. The tools were implemented in an application developed using the R shiny package and framework. The collection was published online and can be freely used. We also kept the application code open to collaboration, by means of a GitHub repository. The primary objective of the application is to provide an integrated, efficient and accessible solution for statistical and visual analyses, allowing users to transform data into relevant information to support decision making. The tools can be a resource for practitioners and quality management students. |
|---|