Laser Additive Manufacturing Process (LAMP) Model Decision Support Tool constructed in excel sheet to predict the environmental impact, cost and lead time associated with various manufacturing processes
Jiankan Liao, Robert De Kleine, Hyung Chul Kim, George Luckey, Joy Forsmark, Ellen C. Lee, Daniel R. Cooper, Assessing the sustainability of laser powder bed fusion and traditional manufacturing processes using a parametric environmental impact model, Resources, Conservation and Recycling, Volume 198, 2023, 107138, https://doi.org/10.1016/j.resconrec.2023.107138.
We apply expert elicitation to assign informative prior to material flow analysis and conduct Bayesian inference for parameter and data noise learning.
Dong, Jiayuan, Jiankan Liao, Xun Huan, and Daniel Cooper. "Expert elicitation and data noise learning for material flow analysis using Bayesian inference." Journal of Industrial Ecology 27, no. 4 (2023): 1105-1122.
We apply Bayesian inference to reduce network structure uncertainty on material flow analysis (MFA) and demonstrate the methodology through a case study on U.S. steel flow. In addition, we derive an input/output-based analysis to conduct decision-making based on the uncertainty results from MFA
Liao, Jiankan, Deng, Sidi, Xun Huan, and Daniel Cooper. "Bayesian Model Selection for Network Discrimination and Risk-informed Decision Making in Material Flow Analysis." arXiv preprint arXiv:2501.05556 (2025).
