Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)

Simulation and Optimization of Plant Production Takt

Authors
Guangzhen Li, Zhigang Xu, Zhaohui Ren
Corresponding Author
Guangzhen Li
Available Online August 2019.
DOI
10.2991/msbda-19.2019.16How to use a DOI?
Keywords
Optimization, Plant simulation, Production takt, Discrete-event
Abstract

In order to solve the problem of planning and optimizing the production takt of a key link in the rocket assembly workshop. The production takt is obtained through the modeling and Simulation analysis of the actual plant based on the Plant Simulation, a professional discrete Simulation software. The factors that affect the production takt are obtained qualitatively and the influences of these factors are quantified, and the configuration of these factors is finally determined through the DOE experiment method to make the production takt reach the practical optimal and the theoretical optimal.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
Series
Advances in Computer Science Research
Publication Date
August 2019
ISBN
978-94-6252-784-3
ISSN
2352-538X
DOI
10.2991/msbda-19.2019.16How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guangzhen Li
AU  - Zhigang Xu
AU  - Zhaohui Ren
PY  - 2019/08
DA  - 2019/08
TI  - Simulation and Optimization of Plant Production Takt
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 98
EP  - 103
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.16
DO  - 10.2991/msbda-19.2019.16
ID  - Li2019/08
ER  -