Planning the transport of loads to oil platforms considering the arrangement of the loads on the ship's deck

Pinto, Gustavo de Luna; Vitorugo, Lirielly Ruela; Rosa, Rodrigo de Alvarenga; Arpini, Bianca Passos; Caprini, Lucas Arrevabene

doi:10.1016/j.cie.2018.03.013

“…In addition, [22] dealt with the problem of scheduling cargo supplies to maritime units with time windows at base and clients, with a solution found in a two-step approach: first a heuristic was used to obtain an initial feasible solution, which is them use initialize solver to obtain final optimal schedule. Related problems were discussed in [23][24][25][26][27][28][29][30][31][32]. [23] proposed a methodology to determine optimal fleet on the liner shipping problem, using a multi-trip vehicle routing model with time constraints.…”

Section: Periodic Supply Vessel Planning Problemmentioning

confidence: 99%

“…[25] proposed a methodology to determine the annual delivery program of a liquefied natural gas (LNG) producer and distributor, dealing with, besides routing and scheduling, also berth and inventory management. [26] combined routing decisions with the disposition of the cargo on deck, [27] modelled selective pickups and [28] considered selective pickups and deliveries. [29] and [30] dealt with both inventory management and routing decisions in maritime applications.…”

Section: Periodic Supply Vessel Planning Problemmentioning

confidence: 99%

See 1 more Smart Citation

A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics

Chagas

¹

,

Soares

²

,

Longhi

³

et al. 2022

Optim Eng

1

0

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In this study, we deal with a real-world problem on oil & gas upstream logistics, comprehending the transport of goods from ports to maritime units, through vessels called Platform Supply Vessels (PSVs). We present an integrated methodology to define the routes of these vessels and port schedules in a three-phase framework. In the first phase, we decompose the problem using a clustering heuristic and then solve periodic supply vessel routing problems for each cluster. The second phase employs a mixed-integer programming model for port scheduling and berth allocation. Finally, in the third phase, given port departure Supply vessel planning and port scheduling in O&G supply logistics times, the routes are re-sequenced to respect opening time constraints at installations, aiming to reduce waiting times and to balance the intervals between successive services. The framework was validated and evaluated considering a real scenario from an industrial partner located in Rio de Janeiro, Brazil. The experiments' results revealed that the framework could consistently and significantly outperform the solution adopted by the company in terms of economic costs.

show abstract

A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics

Chagas

¹

,

Soares

²

,

Longhi

³

et al. 2022

Optim Eng

2

0

View full text Add to dashboard Cite

In this study, we deal with a real-world problem on oil & gas upstream logistics, comprehending the transport of goods from ports to maritime units, through vessels called Platform Supply Vessels (PSVs). We present an integrated methodology to define the routes of these vessels and port schedules in a three-phase framework. In the first phase, we decompose the problem using a clustering heuristic and then solve periodic supply vessel routing problems for each cluster. The second phase employs a mixed-integer programming model for port scheduling and berth allocation. Finally, in the third phase, given port departure Supply vessel planning and port scheduling in O&G supply logistics times, the routes are re-sequenced to respect opening time constraints at installations, aiming to reduce waiting times and to balance the intervals between successive services. The framework was validated and evaluated considering a real scenario from an industrial partner located in Rio de Janeiro, Brazil. The experiments' results revealed that the framework could consistently and significantly outperform the solution adopted by the company in terms of economic costs.

show abstract

A novel reinforcement learning-based hyper-heuristic for heterogeneous vehicle routing problem

Qin

¹

,

Zhuang

²

,

Huang

³

et al. 2021

Computers & Industrial Engineering

View full text Add to dashboard Cite

Planning the transport of loads to oil platforms considering the arrangement of the loads on the ship's deck

Cited by 5 publications

References 16 publications

A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics

A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics

A solution framework for the integrated periodic supply vessel planning and port scheduling in oil and gas supply logistics

A novel reinforcement learning-based hyper-heuristic for heterogeneous vehicle routing problem

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