Fangmin Cheng, Suihuai Yu, Jianjie Chu, Jiashuang Fan
{"title":"3D打印云服务平台制造资源优化配置策略研究","authors":"Fangmin Cheng, Suihuai Yu, Jianjie Chu, Jiashuang Fan","doi":"10.23919/IConAC.2018.8749123","DOIUrl":null,"url":null,"abstract":"In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.","PeriodicalId":121030,"journal":{"name":"2018 24th International Conference on Automation and Computing (ICAC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Manufacturing Resources Optimal Allocation Strategy of 3D Printing Cloud Service Platform\",\"authors\":\"Fangmin Cheng, Suihuai Yu, Jianjie Chu, Jiashuang Fan\",\"doi\":\"10.23919/IConAC.2018.8749123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.\",\"PeriodicalId\":121030,\"journal\":{\"name\":\"2018 24th International Conference on Automation and Computing (ICAC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 24th International Conference on Automation and Computing (ICAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/IConAC.2018.8749123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 24th International Conference on Automation and Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IConAC.2018.8749123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Manufacturing Resources Optimal Allocation Strategy of 3D Printing Cloud Service Platform
In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.