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Valentina Vendittoli, Wilma Polini, Michael S. J. Walter and Stefan Geißelsöder
Additive manufacturing has transformed the production process by enabling the construction of components in a layer-by-layer approach. This study integrates Artificial Neural Networks to explore the nuanced relationship between process parameters and mec...
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Hu Cai, Jiafu Wan and Baotong Chen
Traditional capacity forecasting algorithms lack effective data interaction, leading to a disconnection between the actual plan and production. This paper discusses the multi-factor model based on a discrete manufacturing workshop and proposes a digital ...
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Woo-Hyun Choi and Jongwon Kim
Industrial control systems (ICSs) play a crucial role in managing and monitoring critical processes across various industries, such as manufacturing, energy, and water treatment. The connection of equipment from various manufacturers, complex communicati...
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Shubhendu Kshitij Fuladi and Chang-Soo Kim
In the real world of manufacturing systems, production planning is crucial for organizing and optimizing various manufacturing process components. The objective of this paper is to present a methodology for both static scheduling and dynamic scheduling. ...
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Eva Santos, Tânia M. Lima and Pedro D. Gaspar
This study aims to address the challenge of implementing Lean philosophy in Small and Medium Enterprises (SMEs) and fill the research gap regarding Lean application in vehicle seat upholstery maintenance/repairing processes. The Lean tools applied in a c...
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Imran Shafi, Muhammad Fawad Mazhar, Anum Fatima, Roberto Marcelo Alvarez, Yini Miró, Julio César Martínez Espinosa and Imran Ashraf
Monitoring tool conditions and sub-assemblies before final integration is essential to reducing processing failures and improving production quality for manufacturing setups. This research study proposes a real-time deep learning-based framework for iden...
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Nathan Eskue
This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data c...
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Guozhe Yang, Qingze Tan, Zhiqiang Tian, Xingyu Jiang, Keqiang Chen, Yitao Lu, Weijun Liu and Peisheng Yuan
To cope with the problems of poor matching between processing characteristics and manufacturing resources, low production efficiency, and the hard-to-meet dynamic and changeable model requirements in multi-variety and small batch aerospace enterprises, a...
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Panagiotis Stavropoulos, Alexios Papacharalampopoulos, Kyriakos Sabatakakis and Dimitris Mourtzis
The automation of workflows for the optimization of manufacturing processes through digital twins seems to be achievable nowadays. The enabling technologies of Industry 4.0 have matured, while the plethora of available sensors and data processing methods...
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Jiulin Li, Qingquan Li, Qingzhou Mao and Hao Xu
Steel structures that benefit from having lightweight, ductility, and seismic behaviors are capable of improving the overall performance of civil engineering in environmental protection, project quality, process management, and ease of construction, maki...
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