Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises
Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises
复制标题
考虑企业间合作关系的工业互联网平台制造服务推荐方法
DOI：
10.1016/j.eswa.2021.116391
复制
发表时间：
2021-12
影响因子：
8.5
通讯作者：
Feng Xiang
中科院分区：
文献类型：
--
作者：
Lei Wang;Tianyi Gao;Bin Zhou;Hongtao Tang;Feng Xiang
服务型制造模式的普及使得越来越多的客户通过工业互联网平台配置所需的制造服务。然而，大多数推荐方法主要关注整体制造服务组合的QoS指标，而没有考虑制造服务之间的协作关系。研究了一种考虑在线平台历史协作关系的制造服务组合多属性推荐方法。首先，引入制造服务协作频率指标（CFI），利用FP-growth和Simrank相结合的改进机器学习算法挖掘制造服务协作过程中的频繁项和相似项。在此基础上，提出了一种考虑CFI和QoS的多目标进化算法，为客户推荐更可靠的制造服务组合。最后通过对比实验验证了该方法的有效性和实用性。
The popularization of the service-oriented manufacturing mode makes increasing customers configure the required manufacturing services from Industry Internet platforms. However, most recommendation methods mainly focus on the QoS indicators of the overall manufacturing service combination without considering the collaboration relationship between manufacturing services. A novel multi-attribute recommendation method of manufacturing service combination considering the historical collaboration relationship of the online platforms is studied in this paper. First, an evaluation indicator named manufacturing service collaboration frequency indicator (CFI) is introduced, which uses an improved machine learning algorithm combining FP-growth and Simrank to mine the frequent terms and similarities of the manufacturing service collaboration process. Then, a multi-objective evolutionary algorithm considering CFI and QoS is proposed to recommend a more reliable combination of manufacturing services for customers. Finally, comparative experiments are conducted to demonstrate the effectiveness and practicability of our method.
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DOI：
10.14257/ijunesst.2016.9.6.28
发表时间：
2016-06
期刊：
International Journal of u- and e- Service, Science and Technology
影响因子：
--
作者：
Shumei Liu
通讯作者：
Shumei Liu
DOI：
10.1002/cpe.4020
发表时间：
2017-04
期刊：
Concurrency and Computation: Practice and Experience
影响因子：
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DOI：
10.1016/j.eswa.2020.113685
发表时间：
2020-06
期刊：
Expert Syst. Appl.
影响因子：
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作者：
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通讯作者：
Martin Jakomin;Z. Bosnić;Tomaž Curk
影响因子：
4.4
作者：
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Haidong Zhong;Hongbo Lyu;Shaozhong Zhang;P. Li;Z. Zhang;Li D. Xu