|
Digital
Library of the European Council for Modelling
and Simulation |
Title: |
Vessel Route Optimization
For Offshore Marine Transport |
Authors: |
Montra
Wongmayura, Thananya Wasusri |
Published in: |
(2019). ECMS 2019
Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo,
Massimo Ficco, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2019 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 33rd International ECMS Conference on
Modelling and Simulation,
Caserta, Italy, June 11th – June 14th, 2019 |
Citation
format: |
Montra Wongmayura, Thananya Wasusri (2019). Vessel Route Optimization For Offshore Marine Transport, ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco European Council for Modeling and Simulation. doi: 10.7148/2019-0277 |
DOI: |
https://doi.org/10.7148/2019-0277 |
Abstract: |
In offshore
upstream oil and gas industry, daily logistics and
transportation are being served by Offshore Support Vessels (OSV) such as
Platform Supply Vessel (PSV), Anchor Handling Tug Supply (AHTS) and Crew
Utility Vessel. Marine transportation is then a substantive operating costs. To stay competitive, the cost should be reduced and
vessel route optimization can be a tool. The case study company is an
exploration and production (E&P) company operating in the Gulf of
Thailand. At present, the planning and scheduling tasks of marine vessel in
this area are mostly conducted by manual with none use of optimizing tools. Hence,
cost and time saving can be expected by the use of enhanced and
well-developed vessel route planning. This paper applies the two-phase sweep
algorithm to conduct route planning, it is assumed
that there are five vessels with varied capacities obtainable to serve
offshore daily demands at thirty remote platforms. All demand locations are
first to be clustered into groups using polar-angles
sweeping method and then refine the routes of vessel for each cluster. All
processing phases are implemented using functions and add-in programs of
Microsoft Excel. It was noted that the primary stage of clustering plays a
very important role to the solution results. However, overall outcomes of
process experiments present that the answers are stable and acceptable. |
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