Additive manufacturing–also known as 3D printing–is a manufacturing process that is
attracting more and more interest due to high production rates and reduced costs. This …

Emerging technologies, such as self-driving cars and 5G communications, are raising new
mobility and transportation possibilities in smart and sustainable cities, bringing to a new …

The uncapacitated facility location problem (UFLP) is a popular NP‐hard optimization
problem that has been traditionally applied to logistics and supply networks, where …

The capacitated dispersion problem is a variant of the maximum diversity problem in which a
set of elements in a network must be determined. These elements might represent, for …

In the context of logistics and transportation, this paper discusses how simheuristics can be
extended by adding a fuzzy layer that allows us to deal with complex optimization problems …

Stochastic, as well as fuzzy uncertainty, can be found in most real‐world systems.
Considering both types of uncertainties simultaneously makes optimization problems …

This study proposes a novel method for streaming data compression and encoding
protocols based on generative adversarial networks (GANs) and fuzzy logic. The concept of …

The efficient management of assets to cover a firm's liabilities over a multi-period horizon is
a relevant challenge for many financial companies. Even in its deterministic version, this …

The past few years of the COVID‐19 pandemic outbreak have shown that optimal
management of medical specimens is a key aspect of healthcare logistics, both for …

Stochastic and robust optimization approaches often result in sub-optimal solutions for the
uncertain p-hub median problem when continuous design parameters are discretized to …