Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Research on Total Revenue Optimization's Ship Maintenance Selection

Authors
Wenchao Li
Corresponding Author
Wenchao Li
Available Online July 2017.
DOI
10.2991/iccse-17.2017.46How to use a DOI?
Keywords
Location optimization, Ship maintenance, Optimal costs
Abstract

This paper aims to establish a total revenue optimal model of operating ships when facing a maintenance requirement and cargo shipping opportunity under some limited conditions. In terms of influencing factors of analytical results, total shipping distance, sailing time and maintenance time are the main influence factors on total revenue.

Copyright
© 2017, 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 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.46
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.46How to use a DOI?
Copyright
© 2017, 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  - Wenchao Li
PY  - 2017/07
DA  - 2017/07
TI  - Research on Total Revenue Optimization's Ship Maintenance Selection
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 263
EP  - 268
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.46
DO  - 10.2991/iccse-17.2017.46
ID  - Li2017/07
ER  -