A decision tool for scheduling fleets of fuel supply vessels

Rachaniotis, Nikolaos P.; Masvoula, Marisa

doi:10.1007/s12351-018-0377-2

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…For decades, many scheduling methods have been developed, such as scheduling with Soft Time Window [1][2][3]; Maritime considering inventory, draft limits, and bunker cost [4][5][6]; routing problem with berthing time clash avoidance constraints [7][8][9][10]; green logistics, green ports [11,12], and Big Data in Maritime Logistics [13,14]. In these methods, scheduling problems are modelled using shipping matrices in which an attribute is assessed using a certain number of criteria.…”

Section: Introductionmentioning

confidence: 99%

Container Shipping Scheduling Method Based on the Evidence Reasoning Approach in Fluctuating CCFI and BDI Cycle

Zhuang

2022

Mathematical Problems in Engineering

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Due to the COVID-19/Omicron pandemic and the trade war and tariffs between China and America, the supply chain between Asia and America, or Asia and Europe, faced unprecedented challenges. With the outbreak of the Russian-Ukrainian war, the global supply chain has become increasingly unbalanced. In particular, the shortage of container ships and the continuous fluctuation of the BDI and CCFI make shipping scheduling increasingly important for ocean carriers. To solve this problem, in this study, we propose an analytic approach considering the fluctuation of BDI and CCFI based on interval evidence reasoning and the Hungarian algorithm. The proposed approach uses two pairs of nonlinear optimisation models to construct a Nash equilibrium assignment model to compute the shipping company’s scheduling and maximum utility in the CCFI and BDI cycles. Compared to the simulation algorithm, the analytical algorithm can take advantage of stability and efficiency. Finally, a COSCO company’s container shipping scheduling problem was examined to demonstrate the efficiency and effectiveness of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Container Shipping Scheduling Method Based on the Evidence Reasoning Approach in Fluctuating CCFI and BDI Cycle

Zhuang

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

A decision tool for scheduling fleets of fuel supply vessels

Cited by 1 publication

References 15 publications

Container Shipping Scheduling Method Based on the Evidence Reasoning Approach in Fluctuating CCFI and BDI Cycle

Container Shipping Scheduling Method Based on the Evidence Reasoning Approach in Fluctuating CCFI and BDI Cycle

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