Digital Twin (DT) technology is profoundly changing the manufacturing landscape and supply chain management with its ability to create real-time digital replicas of physical processes, allowing for enhanced monitoring...
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Digital Twin (DT) technology is profoundly changing the manufacturing landscape and supply chain management with its ability to create real-time digital replicas of physical processes, allowing for enhanced monitoring and optimized decision-making. However, the analysis of scientific literature reveals that further efforts are needed to spread the use of Industry 4.0 technologies, in the specific context of Internal Supply Chains (ISCs). The main aim of this study is to design, develop test and validate a multi-plant simulation-Based DT production planning platform for ISCs management. A modular architecture is adopted, and the focus is on a simulationBased Digital Twin module, which uses an object-oriented structure and enables what-if analyses, involving several scheduling rules and ISC configurations. The proposed solution ensures flexibility and scalability, two crucial features in a constantly evolving market environment. The platform is tested and validated through a case study, involving a corporate group in the Oil & Gas manufacturing sector, which needs to improve the ISC performance, under a Make-To-Order production strategy. The comparison with a baseline scenario, where the platform is not adopted, shows that the proposed approach can significantly reduce the average flow time, the average tardiness, the number of late orders. This study has important practical implications because enables proactive and smart decision-making, aimed at resource optimization and continuous improvement, through predictive analytics and scenario analysis.
simulation research in construction has been focussed mainly on the modelling of construction processes. However, most construction projects involve the building of structures with complex dependencies and structural ...
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simulation research in construction has been focussed mainly on the modelling of construction processes. However, most construction projects involve the building of structures with complex dependencies and structural relationships among its component parts. Manually generating simulation models of such structures is extremely difficult. The problem is exacerbated in a field like construction due to the paucity of simulation expertise. This paper presents a method for circumventing the problem through the development of an intuitive and structured approach for the automated generation of simulation models using the object-oriented programming paradigm. The approach was implemented using MODSIM II and tested using a two-component structure with intra-component and sequential inter-component dependencies. The simulation outputs were compared with that of a manually generated simulation model. The implementation was further tested using a 12-component structure with intra-component, sequential inter-component and continuous partial concurrent dependencies. (C) 2000 Elsevier Science B.V. All rights reserved.
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