A robust optimization model for the maritime inventory routing problem

Optimization in maritime inventory routing

A hybrid metaheuristic algorithm for the robust pollution-routing problem

Emissions resulted from transportation activities may lead to dangerous effects on the whole environment and human health. According to sustainability principles, in recent years researchers attempt to consider the environmental burden of logistics activities in traditional logistics problems such as vehicle routing problems (VRPs). The pollution-routing problem (PRP) is an extension of the VRP...

Mathematical Model for Maritime Inventory Routing Problem with Multiple Time Windows

This paper considers a new variant of the maritime inventory routing problem which considers multiple time windows. The typical time windows that this problem considers that it may exist for certain ports which only permit a ship entering and leaving the ports within daytime due to both natural conditions and their facilities. A mathematical model formulated as mixed integer programming is deve...

MIRPLib - A library of maritime inventory routing problem instances: Survey, core model, and benchmark results

This paper presents a detailed description of a particular class of deterministic single product maritime inventory routing problems (MIRPs), which we call deep-sea MIRPs with inventory tracking at every port. This class involves vessel travel times between ports that are significantly longer than the time spent in port and require inventory levels at all ports to be monitored throughout the pl...

A realistic perish ability inventory management for location-inventory-routing problem based on Genetic Algorithm

In this paper, it was an attempt to be present a practical perishability inventory model. The proposed model adds using spoilage of products and variable prices within a time period to a recently published location-inventory-routing model in order to make it more realistic. Aforementioned model by integration of strategic, tactical and operational level decisions produces better results for sup...