A Novel Methodology for Assessing and Modeling Manufacturing Processes

Historically, researchers and practitioners have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to propose a holistic approach to manufacturing processes in order to assess their status and p...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jan Reschke, Sergio Gallego-García
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	integrated manufacturing model manufacturing system assessment manufacturing process management and control quality management maintenance management digital twin Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a0bf3824e89b4f1397ce04b15eabc3bb
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:a0bf3824e89b4f1397ce04b15eabc3bb
record_format	dspace
spelling	oai:doaj.org-article:a0bf3824e89b4f1397ce04b15eabc3bb2021-11-11T15:11:16ZA Novel Methodology for Assessing and Modeling Manufacturing Processes10.3390/app1121101172076-3417https://doaj.org/article/a0bf3824e89b4f1397ce04b15eabc3bb2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10117https://doaj.org/toc/2076-3417Historically, researchers and practitioners have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to propose a holistic approach to manufacturing processes in order to assess their status and performance to improve target indicators such as product quality. For this purpose, a conceptual model is designed by identifying areas, flows, and indicators that are relevant to the assessment of a manufacturing system. Moreover, using the conceptual model, manufacturing systems can be modeled considering all related flows and decision-making options in the respective areas of production, maintenance, and quality. As a result, this model serves as the basis for the integral management and control of manufacturing systems in digital twin models for the regulation of process stability and quality with maintenance strategies. Thus, an assessment based on the conceptual model improves the knowledge level of all elements involved in the manufacturing of a product according to the desired quality specifications. The continuous monitoring of all areas and flows together with the optimal strategies in the quality and maintenance areas can enable companies to increase their profitability and customer service level. In this context, the discussion section lists key decision aspects for the assessment and improvement of manufacturing systems, while also providing a methodological sequence to evaluate and improve manufacturing systems. In conclusion, the conceptual approach allows better decision making, ensuring continuous optimization along the manufacturing asset lifecycle and providing a unique selling proposition for equipment producers and service engineering suppliers, as well as for production and assembly companies.Jan ReschkeSergio Gallego-GarcíaMDPI AGarticleintegrated manufacturing modelmanufacturing system assessmentmanufacturing process management and controlquality managementmaintenance managementdigital twinTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10117, p 10117 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	integrated manufacturing model manufacturing system assessment manufacturing process management and control quality management maintenance management digital twin Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	integrated manufacturing model manufacturing system assessment manufacturing process management and control quality management maintenance management digital twin Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Jan Reschke Sergio Gallego-García A Novel Methodology for Assessing and Modeling Manufacturing Processes
description	Historically, researchers and practitioners have often failed to consider all the areas, factors, and implications of a process within an integrated manufacturing model. Thus, the aim of this research was to propose a holistic approach to manufacturing processes in order to assess their status and performance to improve target indicators such as product quality. For this purpose, a conceptual model is designed by identifying areas, flows, and indicators that are relevant to the assessment of a manufacturing system. Moreover, using the conceptual model, manufacturing systems can be modeled considering all related flows and decision-making options in the respective areas of production, maintenance, and quality. As a result, this model serves as the basis for the integral management and control of manufacturing systems in digital twin models for the regulation of process stability and quality with maintenance strategies. Thus, an assessment based on the conceptual model improves the knowledge level of all elements involved in the manufacturing of a product according to the desired quality specifications. The continuous monitoring of all areas and flows together with the optimal strategies in the quality and maintenance areas can enable companies to increase their profitability and customer service level. In this context, the discussion section lists key decision aspects for the assessment and improvement of manufacturing systems, while also providing a methodological sequence to evaluate and improve manufacturing systems. In conclusion, the conceptual approach allows better decision making, ensuring continuous optimization along the manufacturing asset lifecycle and providing a unique selling proposition for equipment producers and service engineering suppliers, as well as for production and assembly companies.
format	article
author	Jan Reschke Sergio Gallego-García
author_facet	Jan Reschke Sergio Gallego-García
author_sort	Jan Reschke
title	A Novel Methodology for Assessing and Modeling Manufacturing Processes
title_short	A Novel Methodology for Assessing and Modeling Manufacturing Processes
title_full	A Novel Methodology for Assessing and Modeling Manufacturing Processes
title_fullStr	A Novel Methodology for Assessing and Modeling Manufacturing Processes
title_full_unstemmed	A Novel Methodology for Assessing and Modeling Manufacturing Processes
title_sort	novel methodology for assessing and modeling manufacturing processes
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a0bf3824e89b4f1397ce04b15eabc3bb
work_keys_str_mv	AT janreschke anovelmethodologyforassessingandmodelingmanufacturingprocesses AT sergiogallegogarcia anovelmethodologyforassessingandmodelingmanufacturingprocesses AT janreschke novelmethodologyforassessingandmodelingmanufacturingprocesses AT sergiogallegogarcia novelmethodologyforassessingandmodelingmanufacturingprocesses
_version_	1718436960752631808

A Novel Methodology for Assessing and Modeling Manufacturing Processes

Ejemplares similares