A dynamic and static data based matching method for cloud 3D printing-Reference-Cited by-同舟云学术

A dynamic and static data based matching method for cloud 3D printing

Published:2020-02 Issue: Volume:61 Page:101858
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Luo Xiao,Zhang Lin,Ren Lei,Lali Yuanjun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference39 articles.

1. 3D Printing and additive manufacturing state of the industry annual worldwide progress report;Wohlers Assoc.,2018

2. The great disruption: competing and surviving in the second wave of the industrial revolution;Rick;Thomas Dunne Books,2016

3. Dynamic modeling of manufacturing equipment capability using condition information in cloud manufacturing;Wen-jun;J. Manuf. Sci. Engi.-Trans. ASME,2015

4. SDMSim: a manufacturing service supply-demand matching simulator under cloud environment;Fei;Robot. Comput. Integr. Manuf.,2017

5. Modeling & simulation technology in manufacturing;Lin;J. Syst. Simul.,2018

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