This paper presents the development of a model of how to assign LNG carriers from a single LNG source to a number of scattered small-scale power plants in a milk-run operation strategy. Typically, researchers assume that ports/terminals to be visited are as given parameters. In this paper, the specifications of ports/terminals (infrastructures) are considered in the model as a consequence of the selected LNG carriers. The objective is to determine the optimum size and number of LNG carriers for a particular route by minimizing the unit logistics costs which include shipping costs and required infrastructures (ports and facilities) costs. The proposed approach of this paper is a metaheuristic by using genetic algorithm. The computational results shows that the optimal solution can be achieved in a relatively short period of time and the optimum cuve satisfies the law of deminishing returns. Finally, some encouraging computational results and suggestions for further study are presented.

Original languageEnglish
Article number012045
JournalIOP Conference Series: Earth and Environmental Science
Issue number1
Publication statusPublished - 2023
Event7th International Conference on Marine Technology, SENTA 2022 - Surabaya, Indonesia
Duration: 20 Oct 2022 → …


  • Fleet assignment
  • genetic algorithm
  • milk-run operations
  • optimization


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