Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

Study on Merging and Optimization Method of Support Equipment Range in the Development Phase

Authors
Xiaoming Kang, Shihong Xiang
Corresponding Author
Xiaoming Kang
Available Online December 2016.
DOI
10.2991/icsma-16.2016.4How to use a DOI?
Keywords
Support Equipment range; Dynamic Programming; Optimization
Abstract

Two support equipment range merging optimization methods, i.e. direct optimization method and dynamic programming optimization method, were proposed in this paper. Direct optimization method is more suitable for simple systems with only limited types of support equipment, while dynamic programming optimization method works better for complex systems with a large number of types of support equipment. We gave out a case study to validate the dynamic programming optimization method. This paper provides theoretical support for resolving problem of optimizing support equipment range in the system development phase.

Copyright
© 2016, 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 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/icsma-16.2016.4
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.4How to use a DOI?
Copyright
© 2016, 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  - Xiaoming Kang
AU  - Shihong Xiang
PY  - 2016/12
DA  - 2016/12
TI  - Study on Merging and Optimization Method of Support Equipment Range in the Development Phase
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 15
EP  - 20
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.4
DO  - 10.2991/icsma-16.2016.4
ID  - Kang2016/12
ER  -