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Risk Evaluation for a Manufacturing Process Based on a Directed Weighted Network

by Lixiang Wang 1, Wei Dai 1,*, Dongmei Sun 1,2 and Yu Zhao 1
1
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
2
No. 208 Research Institute of China Ordnance Industries, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(6), 699; https://doi.org/10.3390/e22060699
Received: 23 May 2020 / Revised: 18 June 2020 / Accepted: 18 June 2020 / Published: 23 June 2020
The quality of a manufacturing process can be represented by the complex coupling relationship between quality characteristics, which is defined by the directed weighted network to evaluate the risk of the manufacturing process. A multistage manufacturing process model is established to extract the quality information, and the quality characteristics of each process are mapped to nodes of the network. The mixed embedded partial conditional mutual information (PMIME) is used to analyze the causal effect between quality characteristics, wherein the causal relationships are mapped as the directed edges, while the magnitudes of the causal effects are defined as the weight of edges. The node centrality is measured based on information entropy theory, and the influence of a node is divided into two parts, which are local and indirect effects. Moreover, the entropy value of the directed weighted network is determined according to the weighted average of the centrality of the nodes, and this value is defined as the risk of the manufacturing process. Finally, the method is verified through a public dataset. View Full-Text
Keywords: directed weighted network; PMIME; information entropy; risk evaluation directed weighted network; PMIME; information entropy; risk evaluation
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Wang, L.; Dai, W.; Sun, D.; Zhao, Y. Risk Evaluation for a Manufacturing Process Based on a Directed Weighted Network. Entropy 2020, 22, 699.

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