中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Grouping Method of Semiconductor Bonding Equipment Based on Clustering by Fast Search and Find of Density Peaks for Dynamic Matching According to Processing Tasks

文献类型:期刊论文

作者Qiao, Feng4; Gao ZJ(高治军)4; Si W(司雯)4; Han ZH(韩忠华)1,2,3,4; Peng, Jiayu4
刊名PROCESSES
出版日期2019
卷号7期号:9页码:1-24
关键词semiconductor bonding equipment-grouping method graph theory association matrix CFSFDP algorithm
ISSN号2227-9717
产权排序2
英文摘要Given that the equipment for the semiconductor packaging line adopts the fixed grouping production method, thus failing to dynamically match the processing task demand capacity, in the present study, we proposed a semiconductor bonding equipment-grouping method based on processing task matching. This method sets the device group closed position constraint and the matching constraint between the device type and the processing type and uses the graph theory method to establish the device grouping model. The dynamic grouping of equipment under the capacity demand of different processing tasks was achieved by changing the relationship matrix between devices. The drawback of this grouping method is rather large grouping deviation, which we tried to solve with the clustering by fast search and find of density peaks (CFSFDP) that was added to cluster the sets of attribute information of the devices so as to obtain the maximum number of grouping groups obtained to reduce the grouping deviation. Simulation comparison experiments were carried out under different circumstances considering the size of the formation, the distribution of demand capacity, and the coefficient of difference in demand capacity. Compared with the standard device grouping method, the grouping method based on semiconductor bonding equipment and CFSFDP algorithm for dynamic matching according to processing tasks had better performance in solving the dynamic grouping problem.
语种英语
WOS记录号WOS:000489121800019
资助机构National Key R&D Program of China [2018YFF0300304-04] ; Liaoning Provincial Science Foundation, China [2018106008] ; Project of Liaoning Province Education Department, China [LJZ2017015]
源URL[http://ir.sia.cn/handle/173321/25773]  
专题沈阳自动化研究所_数字工厂研究室
作者单位1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
2.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang 110016, China
3.Department of Digital Factory, Shenyang Institute of Automation, Chinese Academy of Sciences (CAS), Shenyang 110016, China
4.Faculty of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
推荐引用方式
GB/T 7714
Qiao, Feng,Gao ZJ,Si W,et al. Grouping Method of Semiconductor Bonding Equipment Based on Clustering by Fast Search and Find of Density Peaks for Dynamic Matching According to Processing Tasks[J]. PROCESSES,2019,7(9):1-24.
APA Qiao, Feng,Gao ZJ,Si W,Han ZH,&Peng, Jiayu.(2019).Grouping Method of Semiconductor Bonding Equipment Based on Clustering by Fast Search and Find of Density Peaks for Dynamic Matching According to Processing Tasks.PROCESSES,7(9),1-24.
MLA Qiao, Feng,et al."Grouping Method of Semiconductor Bonding Equipment Based on Clustering by Fast Search and Find of Density Peaks for Dynamic Matching According to Processing Tasks".PROCESSES 7.9(2019):1-24.

入库方式: OAI收割

来源:沈阳自动化研究所

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