Liquefied natural gas (LNG) is natural gas transformed into liquid state for the purpose of transportation mainly by specially built LNG vessels. This paper considers a real-life LNG ship routing and scheduling problem where a producer is responsible for transportation from production site to customers all over the world. The aim is to create routes and schedules for the vessel fleet that are more robust with respect to uncertainty such as in sailing times due to changing weather conditions. A solution method and several robustness strategies are proposed and tested on instances with time horizons of 3–12 months. The resulting solutions are evaluated using a simulation model with a recourse optimization procedure. The results show that ther...
Abstract We propose a constraint programming approach for the optimization of inventory routing in t...
The inventory routing problem (IRP) in Liquefied Natural Gas (LNG) is one of the representative mari...
In this thesis, we introduce a multi-seeds stochastic optimization algorithm for MIRP (Maritime Inve...
Maritime vehicle routing and scheduling problem has been studied extensively in the context of risk ...
In this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under unce...
We consider a new biannual liquefi ed natural gas (LNG) ship routing and scheduling problem and a st...
The ability of a supplier of liquefied natural gas (LNG) to deliver cargoes at desired times, while ...
This paper studies the design of a mid-scale maritime supply chain for distribution of liquefied nat...
Liquefied Natural Gas (LNG) is becoming a more crucial source of energy due to its increased price c...
Liquefied Natural Gas (LNG) is becoming a more crucial source of energy due to its increased price c...
The introduction of transshipment ports in the liquefied natural gas (LNG) supply chain in recent ye...
Abstract The shipping industry is investigating alternative fuels for ships, in order to comply with...
The research developed a realistic model which encompasses the ship routeing process, weather predic...
Large players can control several tiers in the liquefied natural gas (LNG) supply chain, which calls...
AbstractWe present a risk analysis approach for selecting alternate routes between liquefaction and ...
Abstract We propose a constraint programming approach for the optimization of inventory routing in t...
The inventory routing problem (IRP) in Liquefied Natural Gas (LNG) is one of the representative mari...
In this thesis, we introduce a multi-seeds stochastic optimization algorithm for MIRP (Maritime Inve...
Maritime vehicle routing and scheduling problem has been studied extensively in the context of risk ...
In this paper modelling maritimeinventory-routing problem for liquefied natural gas (LNG) under unce...
We consider a new biannual liquefi ed natural gas (LNG) ship routing and scheduling problem and a st...
The ability of a supplier of liquefied natural gas (LNG) to deliver cargoes at desired times, while ...
This paper studies the design of a mid-scale maritime supply chain for distribution of liquefied nat...
Liquefied Natural Gas (LNG) is becoming a more crucial source of energy due to its increased price c...
Liquefied Natural Gas (LNG) is becoming a more crucial source of energy due to its increased price c...
The introduction of transshipment ports in the liquefied natural gas (LNG) supply chain in recent ye...
Abstract The shipping industry is investigating alternative fuels for ships, in order to comply with...
The research developed a realistic model which encompasses the ship routeing process, weather predic...
Large players can control several tiers in the liquefied natural gas (LNG) supply chain, which calls...
AbstractWe present a risk analysis approach for selecting alternate routes between liquefaction and ...
Abstract We propose a constraint programming approach for the optimization of inventory routing in t...
The inventory routing problem (IRP) in Liquefied Natural Gas (LNG) is one of the representative mari...
In this thesis, we introduce a multi-seeds stochastic optimization algorithm for MIRP (Maritime Inve...