Research on Manufacturing Resources Optimal Allocation Strategy of 3D Printing Cloud Service Platform

Fangmin Cheng, Suihuai Yu, Jianjie Chu, Jiashuang Fan
{"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}
引用次数: 2

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
3D打印云服务平台制造资源优化配置策略研究
为实现3D打印云服务平台协同制造资源的优化配置,提出了制造资源优化双层次规划解决方案。在分析3D打印创新制造任务过程和3D打印制造方法特点的基础上,综合考虑客户利益和企业利益,利用企业的制造能力来体现客户利益,提出并构建了企业制造能力和企业经济效益的制定公式。利用双层规划模型对制造资源进行优化。采用模拟退火算法求解最优模型。以某模型车制造任务为例,验证了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Novel Framework for Plagiarism Detection: A Case Study for Urdu Language Scale Detection Based on Maximum Entropy Principle Comparative Study of Eddy Current Pulsed and Long Pulse Optical Thermography for Defect Detection in Aluminium Plate Cost Minimization Control for Smart Electric Vehicle Car Parks Sliding Mode Control for Wearable Exoskeleton based on Disturbance Observer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1