Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept

Historically, manufacturing system researchers and managers 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 develop an integral modeling approach for manufacturing processes in order t...

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Main Authors: Javier Gejo-García, Jan Reschke, Sergio Gallego-García, Manuel García-García
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/4/2095
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author Javier Gejo-García
Jan Reschke
Sergio Gallego-García
Manuel García-García
author_facet Javier Gejo-García
Jan Reschke
Sergio Gallego-García
Manuel García-García
author_sort Javier Gejo-García
collection DOAJ
description Historically, manufacturing system researchers and managers 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 develop an integral modeling approach for manufacturing processes in order to assess their status and performance. For this purpose, a novel conceptual model consisting of an integral definition of areas and flows is applied. As a result, 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, these models serve 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, a system dynamics simulation model is developed for a metallurgical process. The goal of the simulation model is to provide a digital manufacturing system regulated with different maintenance, quality, and production strategies in order to secure quality and delivery service. The results show how the monitoring of all flows together with the optimal strategies in the quality and maintenance areas as a result of a regulated system can enable companies to increase their profitability and customer service level. In conclusion, the applied simulation case study 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.
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spelling doaj.art-dfc110b34c814c52bad104ea35fde7032023-11-23T18:39:13ZengMDPI AGApplied Sciences2076-34172022-02-01124209510.3390/app12042095Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin ConceptJavier Gejo-García0Jan Reschke1Sergio Gallego-García2Manuel García-García3Industrial Engineering Technologies of the International School of Doctorate, National Distance Education University (UNED), 28040 Madrid, SpainProcess & Quality Management, SMS Group GmbH, 41069 Monchengladbach, GermanyIndustrial Engineering Technologies of the International School of Doctorate, National Distance Education University (UNED), 28040 Madrid, SpainDepartment of Construction and Fabrication Engineering, National Distance Education University (UNED), 28040 Madrid, SpainHistorically, manufacturing system researchers and managers 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 develop an integral modeling approach for manufacturing processes in order to assess their status and performance. For this purpose, a novel conceptual model consisting of an integral definition of areas and flows is applied. As a result, 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, these models serve 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, a system dynamics simulation model is developed for a metallurgical process. The goal of the simulation model is to provide a digital manufacturing system regulated with different maintenance, quality, and production strategies in order to secure quality and delivery service. The results show how the monitoring of all flows together with the optimal strategies in the quality and maintenance areas as a result of a regulated system can enable companies to increase their profitability and customer service level. In conclusion, the applied simulation case study 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.https://www.mdpi.com/2076-3417/12/4/2095integrated manufacturing modelmanufacturing process management and controlquality managementmaintenance managementsystem dynamicssimulation
spellingShingle Javier Gejo-García
Jan Reschke
Sergio Gallego-García
Manuel García-García
Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept
Applied Sciences
integrated manufacturing model
manufacturing process management and control
quality management
maintenance management
system dynamics
simulation
title Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept
title_full Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept
title_fullStr Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept
title_full_unstemmed Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept
title_short Development of a System Dynamics Simulation for Assessing Manufacturing Systems Based on the Digital Twin Concept
title_sort development of a system dynamics simulation for assessing manufacturing systems based on the digital twin concept
topic integrated manufacturing model
manufacturing process management and control
quality management
maintenance management
system dynamics
simulation
url https://www.mdpi.com/2076-3417/12/4/2095
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AT sergiogallegogarcia developmentofasystemdynamicssimulationforassessingmanufacturingsystemsbasedonthedigitaltwinconcept
AT manuelgarciagarcia developmentofasystemdynamicssimulationforassessingmanufacturingsystemsbasedonthedigitaltwinconcept