Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

Chemical Plant Relocation and Route Reassignment Models

Authors
X.L. Zhu
Corresponding Author
X.L. Zhu
Available Online July 2015.
DOI
10.2991/eame-15.2015.202How to use a DOI?
Keywords
relocation; multi-objective optimization; hazardous materials transportation; Integration optimization
Abstract

Based on facility location and route assignment model, several multi-objective optimization models for chemical plant relocation are established. There are four main objectives: minimum risk, maximum utilization of the original transportation network, minimum cost, and minimum distance for relocation. Two kinds of mathematical model are presented: the arc-model using the flows on arcs as decision variables and the route-model using the route flows as decision variables. The multi-objective models are transformed into single objective models in which risk is minimized while constraints are imposed on the utilization, cost and distance. Arc-model is easy to be solved and the solution of route-model can clearly show the routes of transporting chemical products. The numerical results are promising.

Copyright
© 2015, 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 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-71-4
ISSN
2352-5401
DOI
10.2991/eame-15.2015.202How to use a DOI?
Copyright
© 2015, 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  - X.L. Zhu
PY  - 2015/07
DA  - 2015/07
TI  - Chemical Plant Relocation and Route Reassignment Models
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 746
EP  - 749
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.202
DO  - 10.2991/eame-15.2015.202
ID  - Zhu2015/07
ER  -