Title: Multi-product and multi-period maritime oil logistics model with a cooperative approach among hubs

Authors: Mehdi Razi; Alireza Rashidi Komijan; Peyman Afzal; Vahidreza Ghezavati; Kaveh Khalili-Damghani

Addresses: School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran ' Department of Industrial Engineering, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran ' School of Mine Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran ' School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran ' School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract: In this paper, the modelling of maritime oil logistics problem in non-cooperative and cooperative approaches is addressed. The problem includes several hubs; each hub has vessels and boats for maritime transport. Rigs are supplied in a time window. In the non-cooperative model, each hub supplies its own rigs. In the cooperative model, it is possible to share resources among hubs. Genetic algorithm (GA) and invasive weed optimisation (IWO) are used as solution approaches. To demonstrate the efficiency of solution methods, 15 numerical examples are designed and the results are compared with GAMS. The results indicate that the IWO algorithm has high efficiency in obtaining near-optimal solutions in a shorter CPU time. Also, cost is decreased significantly when a cooperative approach is applied. Using optimisation models lead to a considerable decrease in expenditures of maritime oil logistics. The proposed model can be widely used for oil and gas companies involved in offshore logistics. [Received: March 21, 2022; Accepted: July 20, 2022].

Keywords: maritime oil logistics; routing; cooperative approach; invasive weed optimisation algorithm; genetic algorithm.

DOI: 10.1504/IJOGCT.2023.128893

International Journal of Oil, Gas and Coal Technology, 2023 Vol.32 No.3, pp.273 - 290

Received: 18 Mar 2022
Accepted: 20 Jul 2022
Published online: 08 Feb 2023 *

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