张增强,刘善慧,师可强,钱颂,王先菊.导向辊生产设备制造资源集合匹配方法[J].包装工程,2023,44(11):242-248.
ZHANG Zeng-qiang,LIU Shan-hui,SHI Ke-qiang,QIAN Song,WANG Xian-ju.Manufacturing Resource Set Matching Method for Guide Roller Production Equipment[J].Packaging Engineering,2023,44(11):242-248. |
| 导向辊生产设备制造资源集合匹配方法 |
| Manufacturing Resource Set Matching Method for Guide Roller Production Equipment |
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| DOI：10.19554/j.cnki.1001-3563.2023.11.028 |
| 中文关键词: 导向辊 工序外协 制造资源 匹配方法 可拓聚类 |
| 英文关键词: guide roller outsourced production process manufacturing resources matching method extension cluster |
| 基金项目:国家重点研发计划项目(2019YFB1707200);陕西省技术创新引导专项(2020QFY03–08) |
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| 中文摘要: |
| 目的 为解决云制造环境下导向辊生产工序外协时设备制造资源搜索效率低的问题，本文提出一种导向辊生产设备云制造资源集合与生产工序云制造需求匹配的方法，用于降低导向辊制造资源的寻优范围。方法 首先建立导向辊生产设备制造资源的可拓物元模型，通过可拓聚类算法实现导向辊生产设备制造资源的聚类，接着利用集合中制造资源的可用加工方法属性与制造需求的加工方法属性进行配对，通过配对结果完成导向辊生产设备制造资源集合与生产工序制造需求的匹配。结果 使用该匹配方法后，成功将10个导向辊制造资源样本聚类为7种制造资源集合KN1—KN7，并将其与导向辊的7种生产工序制造需求实现匹配。结论 实验结果表明，该方法能够实现导向辊生产设备云制造资源集合与生产工序需求的匹配，提高了后续导向辊生产工序外协资源的寻优效率。 |
| 英文摘要: |
| The work aims to propose a method to reduce the scope of finding the optimal resources by matching the cloud manufacturing resource set of the guide roller production equipment with the cloud manufacturing requirements of the production process, so as to solve the problem of low efficiency in searching equipment manufacturing resources when the guide roller production process is outsourced in the cloud manufacturing environment. Firstly, an extension matter-element model of manufacturing resources of guide roller production equipment was established, and the clustering of manufacturing resources of guide roller production equipment was realized by extension clustering algorithm. Then, the available processing method attributes of manufacturing resources in the set were paired with the processing method attributes of manufacturing requirements. The matching result was used to complete the matching between the manufacturing resources set of the guide roller production equipment and the manufacturing requirements of the production process. After application of this matching method, 10 guide roller manufacturing resource samples were successfully clustered into 7 manufacturing resource sets KN1-KN7, which were matched with the manufacturing requirements of 7 production processes of guide rollers. It is proved that this method can match the cloud manufacturing resource set of guide roller production equipment with the production process requirements, and improve the efficiency of finding the optimal resources for the subsequent outsourced guide roller production process. |
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