Many combinatorial optimization problems (COPs) encountered in real-world logistics,
transportation, production, healthcare, financial, telecommunication, and computing …

The Vehicle Routing Problem (VRP) is a well-known research line in the optimization
research community. Its different basic variants have been widely explored in the literature …

Current logistics and transportation (L&T) systems include heterogeneous fleets consisting
of common internal combustion engine vehicles as well as other types of vehicles using …

In vehicle routing problems (VRPs) the decisions to be taken concern the assignment of
customers to vehicles and the sequencing of the customers assigned to each vehicle …

This paper considers an agri-food supply chain with a single fresh food supplier, who owns
a central warehouse that serves several retail centers. Retail centers carry a certain amount …

Optimization problems arising in real-life transportation and logistics need to consider
uncertainty conditions (eg, stochastic travel times, etc.). Simulation is employed in the …

From smart cities to factories and business, many decision-making processes in our society
involve NP-hard optimization problems. In a real environment, these problems are frequently …

Many real-life systems in production and transportation logistics are complex, large-scale,
and stochastic in nature. As a consequence, simheuristic approaches–which integrate …

Vendor managed inventory aims at reducing supply chain costs by centralizing inventory
management and vehicle routing decisions. This integrated supply chain approach results in …

The inventory routing problem (IRP) combines inventory management and delivery route‐
planning decisions. This work presents a simheuristic approach that integrates Monte Carlo …