Uncertainty Quantification in Design, Manufacturing and Maintenance of Complex Systems

Topic Information

Dear Colleagues,

There are various uncertainty sources affecting the design, manufacturing, and maintenance of complex engineering systems. In recent decades, uncertainty quantification has demonstrated great potential for scientifically analyzing how the uncertainties affect the performance of products. On the one hand, the uncertainty factors stemming from design, manufacturing, and operation are expected to be thoroughly quantified and considered when designing new products, which is the so-called design under uncertainty. On the other hand, the uncertainty sources contained in the manufacturing process and in the prediction of operational performance are expected to be comprehensively quantified and included for decision making under uncertainty during manufacturing and operation. The purpose of this topic is to present the latest advancements in the field of uncertainty quantification in design, manufacturing, and maintenance. The topic includes but is not limited to:

• Uncertainty quantification and reduction;
• Design under uncertainty;
• Decision making under uncertainty;
• Uncertainty modeling and analysis;
• Model calibration, verification, and validation;
• Risk and reliability analysis;
• Robust/reliability-based design optimization;
• Uncertainty-aware machine learning models;
• Uncertainty quantification in additive manufacturing;
• Confidence-based remaining useful life estimation;
• Uncertainty-aware diagnostics and prognostics;
• Uncertainty-aware battery management systems;
• Probabilistic and non-probabilistic approaches in complex engineering systems;
• Highly efficient uncertainty propagation techniques in complex engineering systems;
• Applications of uncertainty quantification in design, manufacturing, or maintenance.

Dr. Chen Jiang
Dr. Zhenzhong Chen
Dr. Xiaoke Li
Dr. Xiwen Cai
Dr. Zan Yang
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Aerospace aerospace	2.1	3.4	2014	24 Days	CHF 2400	Submit
Applied Sciences applsci	2.5	5.3	2011	17.8 Days	CHF 2400	Submit
Batteries batteries	4.6	4.0	2015	22 Days	CHF 2700	Submit
Energies energies	3.0	6.2	2008	17.5 Days	CHF 2600	Submit
Journal of Marine Science and Engineering jmse	2.7	4.4	2013	16.9 Days	CHF 2600	Submit
Machines machines	2.1	3.0	2013	15.6 Days	CHF 2400	Submit
Mathematics mathematics	2.3	4.0	2013	17.1 Days	CHF 2600	Submit
Sensors sensors	3.4	7.3	2001	16.8 Days	CHF 2600	Submit

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Published Papers (15 papers)