A novel manufacturing service model transformation method based on product lifecycle

被引:0
作者
Tao Ding
Guangrong Yan
Zhenggan Zhou
Yi Lei
机构
[1] Beihang University,School of Mechanical Engineering and Automation
[2] Collaborative Manufacturing Technology and Application,The National Engineering Laboratory of Intelligent
来源
Peer-to-Peer Networking and Applications | 2022年 / 15卷
关键词
Product lifecycle; Cloud manufacturing; Service model; Transformation operator; Logic Rules; Change propagation;
D O I
暂无
中图分类号
学科分类号
摘要
With the increase of personalized customization and collaborative production requirements, more and more manufacturing enterprises virtualize and publish their resources and capabilities as cloud services for sharing. However, due to the lack of a general modelling method in the sharing process, data cannot be interpenetrated among different life cycle stages. Also, models built in a lifecycle stage cannot be transformed and propagated to other stages. To alleviate these drawbacks, in this paper, a novel service model transformation method based on product lifecycle is designed and developed to model and transform manufacturing services among different life cycle stages efficiently and accurately. Specifically, based on the discussion of the business model of life cycle service in cloud manufacturing environment, a novel service model transformation method which includes general and view service transformation is proposed and elaborated. Then, the life cycle service model is established mathematically, and eight transformation operators are summarized and their mathematical definitions are given in detail. Meanwhile, the transformation logic process and change propagation are studied. The proposed method is superior to previous methods in that: 1) the model established in this paper is a generic model which can run through different life cycle stages, including both general and personalized data; 2) the eight operator definitions cover most of the operation types in the model transformation process, which greatly improves the operability of the model automatic transformation; 3) the establishment of change propagation mechanism ensures the accuracy of model synchronization when data changes. The successful application in an instrument enterprise demonstrates the rationality and effectiveness of the proposed methodology.
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页码:1638 / 1652
页数:14
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