Part Features Oriented Optimizing of Manufacturing Resources for Cloud Manufacturing

Abstract:

The research is targeted at the bottleneck technology of manufacturing resources optimizing configuration in cloud manufacturing, namely, the modeling of manufacturing resource and manufacturing task, the intelligent searching of manufacturing resource, and the optimizing of executive processing routes. Manufacturing resources are classified by manufacturing features. The framework of ontology concept is constructed, and the relationship among various concepts is made clear. Then the ontology model of manufacturing resources is constructed. The part features of manufacturing tasks are extracted, and the part features are expanded to include the information of manufacturing methods. Then the ontology model of manufacturing task is constructed. The concept tree method is adopted to compute the semantic similarity between manufacturing resource concept tree and manufacturing task concept tree, so to realize the mapping of manufacturing resource ontology to manufacturing task ontology, and the intelligent searching of manufacturing resources is accomplished. The best manufacturing resources are chosen from candidate resources for each job in processing route during the optimizing of executable processing routes. This problem belongs to a complicated multi objectives, multi choices, and multi constraints knapsack problem. A compromise based parallel multiple objective genetic algorithm is proposed to solve it. Finally, the compromised solution is obtained for the decision-maker.

• Periodical: Applied Mechanics and Materials (Volume 432)
• Pages: 598-602
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.432.598
• Online since: September 2013
• Authors: Zhao Yang Dong, Lin Zhang
• Keywords: Cloud Manufacturing, Manufacturing Resources, Multiple Knapsack Problem, Ontology Mapping

References

[1] Li Bo-hu, Zhang Lin, Wang Shi-long, etal. Cloud manufacturing: a new service oriented networked manufacturing model[J]. Computer Integrated Manufacturing Systems. 2010, 16(1), pp.1-7.

[2] Jiang Jian-jun, Wang Jun-biao, Zhang Shi-chao, etal. Construction technology of modular domain ontology for complex manufacturing resources information[J]. Mechanical Science and Technology for Aerospace Engineering. 2010, 29(4), pp.421-427.

[3] Dan Bin, Yao Ling, Jing You-guo, etal. Product configuration oriented to fuzzy customer requirement based on ontology mapping[J]. Computer Integrated Manufacturing Systems. 2010, 16(2), pp.225-232.

[4] Yuan Qing-ni, Xie Qing-sheng, Xu Ming-heng, etal. Research on manufacturing resources ontology model based on semantic[J]. Journal of WuHan University of Technology. 2009, 31(10), pp.121-125.

[5] Sun Wei-hong, Feng Yi-xiong. Manufacturing capability of P-P-R modeling and mapping based on ontology[J]. Journal of NanJing University of Aeronautics &Astronautics. 2010, 42(2), pp.214-218.

[6] Zhang Liang, Qu Zhen-xin, Ding Song, etal. Semantic retrieval based on weighted domain ontology[J]. Computer Science. 2010, 37(7), pp.165-168.

[7] Dong Zhao-yang, Cai An-jiang, Ruan Xiao-guang. Multiple-knapsack problem and its application in networked manufacturing resources optimizing configuration[J]. Machinery Design & Manufacture. 2010, 5, pp.72-74.