Performance evaluation of serial-parallel manufacturing systems based on the impact of heterogeneous feedstocks on machine degradation

被引:17
作者
Ye, Zhenggeng [1 ,2 ,3 ]
Yang, Hui [3 ]
Cai, Zhiqiang [1 ,2 ]
Si, Shubin [1 ,2 ]
Zhou, Fuli [4 ]
机构
[1] Northwestern Polytech Univ, Sch Mech Engn, Dept Ind Engn, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Minist Ind & Informat Technol, Key Lab Ind Engn & Intelligent Mfg, Xian 710072, Peoples R China
[3] Penn State Univ, Harold & Inge Marcus Dept Ind & Mfg Engn, University Pk, PA 16802 USA
[4] Zhengzhou Univ Light Ind, Coll Econ & Management, Res Ctr Innovat & Ind, Zhengzhou 450001, Peoples R China
基金
中国国家自然科学基金;
关键词
Serial-parallel manufacturing system; Reliability; Feedstock; Quality; Mixture degradation; Non-homogeneous poisson process; CONDITION-BASED MAINTENANCE; RELIABILITY; QUALITY; MIXTURE; DISTRIBUTIONS; WEIBULL; MODEL;
D O I
10.1016/j.ress.2020.107319
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Heterogeneity of feedstock quality can bring disturbances to machine degradation and product quality. Therefore, machine reliability modeling and machining quality analysis considering the flow of heterogeneous feed-stocks are very essential in the performance evaluation of manufacturing systems. This paper presents a new mixture degradation model to evaluate the reliability of manufacturing machines that accounts for the flow and impact of heterogeneous feedstocks in serial-parallel manufacturing systems. Specifically, this mixture model leverages two Weibull distributions to describe machine degradation processes under the conditions of high-quality and low-quality feedstocks. Then, the flow of low-quality feedstocks is modeled by the non-homogeneous Poisson process, so that an interacting chain of quality and reliability is formulated for the serial-parallel manufacturing system. Based on the proposed model, an evaluation framework for the performance of serial-parallel manufacturing systems is provided. Finally, simulation experiments are implemented to analyze the operation status and quality loss of the system. The results showed the effectiveness of the proposed method in performance modeling of serial-parallel manufacturing systems with mixture machine degradation. The proposed approach shows strong potentials for general applications in the performance analysis of complex-structure manufacturing systems.
引用
收藏
页数:11
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