TY - JOUR
T1 - Machine and Feedstock Interdependence Modeling for Manufacturing Networks Performance Analysis
AU - Ye, Zhenggeng
AU - Si, Shubin
AU - Yang, Hui
AU - Cai, Zhiqiang
AU - Zhou, Fuli
N1 - Funding Information:
The work of Zhenggeng Ye, Shubin Si, and Zhiqiang Cai was supported in part by the National Natural Science Foundation of China under Grant 71871181, Grant 71631001, and Grant 71771186, in part by the 111 Project under Grant B13044, and in part by the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University under Grant CX202028.
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - The input of low-quality feedstocks triggers the interdependence between workpiece quality and machine reliability, which will further adversely impact the performance of manufacturing systems. Considering the interconnected manufacturing system structures, our primary goal is to provide an effective method to compute the performance of networked manufacturing systems suffering from machine and low-quality feedstock interdependence. The strength of our work first lies in the model for the compound degradation process of machines and dissemination of low-quality feedstocks, which enables us to construct a response chain to model the interdependence between machines and feedstocks in the manufacturing network. Then, the second strength is the effective algorithm for the computation of route connectivity and quality loss of a manufacturing network based on the interdependence model. A computational experiment shows our models and algorithm can work well for evaluating the operational performance of manufacturing networks.
AB - The input of low-quality feedstocks triggers the interdependence between workpiece quality and machine reliability, which will further adversely impact the performance of manufacturing systems. Considering the interconnected manufacturing system structures, our primary goal is to provide an effective method to compute the performance of networked manufacturing systems suffering from machine and low-quality feedstock interdependence. The strength of our work first lies in the model for the compound degradation process of machines and dissemination of low-quality feedstocks, which enables us to construct a response chain to model the interdependence between machines and feedstocks in the manufacturing network. Then, the second strength is the effective algorithm for the computation of route connectivity and quality loss of a manufacturing network based on the interdependence model. A computational experiment shows our models and algorithm can work well for evaluating the operational performance of manufacturing networks.
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U2 - 10.1109/TII.2021.3129003
DO - 10.1109/TII.2021.3129003
M3 - Article
AN - SCOPUS:85131182518
SN - 1551-3203
VL - 18
SP - 5067
EP - 5076
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 8
ER -