Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
The vehicle routing problem
Branch-And-Price: Column Generation for Solving Huge Integer Programs
Operations Research
Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem
Transportation Science
Ship Routing and Scheduling: Status and Perspectives
Transportation Science
Selected Topics in Column Generation
Operations Research
A construction and improvement heuristic for a liquefied natural gas inventory routing problem
Computers and Industrial Engineering
A Branch-Price-and-Cut Algorithm for Single-Product Maritime Inventory Routing
Operations Research
Large neighborhood search for LNG inventory routing
Journal of Heuristics
Mixed Integer Formulations for a Short Sea Fuel Oil Distribution Problem
Transportation Science
A branch-and-price guided search approach to maritime inventory routing
Computers and Operations Research
An Exact Algorithm for the Integrated Planning of Berth Allocation and Quay Crane Assignment
Transportation Science
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We consider a maritime inventory routing problem in the liquefied natural gas (LNG) business, called the LNG inventory routing problem (LNG-IRP). Here, an actor is responsible for the routing of the fleet of special purpose ships, and the inventories both at the liquefaction plants and the regasification terminals. Compared to many other maritime inventory routing problems, the LNG-IRP includes some complicating aspects such as (1) a constant rate of the cargo evaporates each day and is used as fuel during transportation; (2) variable production and consumption of LNG, and (3) a variable number of tanks unloaded at the regasification terminals. The problem is solved by a branch-and-price method. In the column generation approach, the master problem handles the inventory management and the port capacity constraints, while the subproblems generate the ship route columns. Different accelerating strategies are implemented. The proposed method is tested on instances inspired from real-world problems faced by a major energy company.