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Multidiscipline Integrated Platform Based on Probabilistic Analysis for Manufacturing Engineering Processes

by 1,*, 1 and 2,*
1
National Center for Materials Service Safety, University of Science and Technology Beijing, Beijing 100083, China
2
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
*
Authors to whom correspondence should be addressed.
Future Internet 2018, 10(8), 70; https://doi.org/10.3390/fi10080070
Received: 2 July 2018 / Revised: 22 July 2018 / Accepted: 25 July 2018 / Published: 30 July 2018
(This article belongs to the Section Big Data and Augmented Intelligence)
Researchers from different disciplines, such as materials science, computer science, safety science, mechanical engineering and controlling engineering, have aimed to improve the quality of manufacturing engineering processes. Considering the requirements of research and development of advanced materials, reliable manufacturing and collaborative innovation, a multidiscipline integrated platform framework based on probabilistic analysis for manufacturing engineering processes is proposed. The proposed platform consists of three logical layers: The requirement layer, the database layer and the application layer. The platform is intended to be a scalable system to gradually supplement related data, models and approaches. The main key technologies of the platform, encapsulation methods, information fusion approaches and the collaborative mechanism are also discussed. The proposed platform will also be gradually improved in the future. In order to exchange information for manufacturing engineering processes, scientists and engineers of different institutes of materials science and manufacturing engineering should strengthen their cooperation. View Full-Text
Keywords: probabilistic analysis; manufacturing engineering process; materials database; multidiscipline integrated platform; information fusion probabilistic analysis; manufacturing engineering process; materials database; multidiscipline integrated platform; information fusion
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MDPI and ACS Style

Zhang, L.; Liu, K.; Liu, J. Multidiscipline Integrated Platform Based on Probabilistic Analysis for Manufacturing Engineering Processes. Future Internet 2018, 10, 70. https://doi.org/10.3390/fi10080070

AMA Style

Zhang L, Liu K, Liu J. Multidiscipline Integrated Platform Based on Probabilistic Analysis for Manufacturing Engineering Processes. Future Internet. 2018; 10(8):70. https://doi.org/10.3390/fi10080070

Chicago/Turabian Style

Zhang, Lijun, Kai Liu, and Jian Liu. 2018. "Multidiscipline Integrated Platform Based on Probabilistic Analysis for Manufacturing Engineering Processes" Future Internet 10, no. 8: 70. https://doi.org/10.3390/fi10080070

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