Abstract
Nowadays, maritime transport operations have become even busier. Due to the limited physical facilities, some vessels will be transferred to other terminals for services. Transferring vessels may reduce the waiting time, however, this induces extra transshipment cost, bad reputation, and potential customer loss. To consider such practical issues, a bi-objective Berth Allocation Problem (BAP) model is proposed. Moreover, vessel priority is another practical concern. In literature, they are divided into two streams, i) customer importance; and ii) handling volume. They give vessel priority by considering only one single factor, but both factors are important. The objective of this paper is to propose a Genetic Algorithm (GA) to minimize port staying time and transfer rate with the consideration of vessel priority. The results show that the proposed approach is able to obtain solutions with good performance in all the factors.
Original language | English |
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Title of host publication | IEEE International Conference on Industrial Engineering and Engineering Management |
Publisher | IEEE Computer Society |
Pages | 1339-1343 |
Number of pages | 5 |
ISBN (Electronic) | 9781479909865 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Event | 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand Duration: 10 Dec 2013 → 13 Dec 2013 |
Conference
Conference | 2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 |
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Country/Territory | Thailand |
City | Bangkok |
Period | 10/12/13 → 13/12/13 |
Keywords
- Berth Allocation Problem
- Genetic Algorithm
- vessel priority
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality