MASSIMO PAOLUCCI

The evolving safety regulation is pushing seaports to comply with safety measures for workers perform- ing heavy loads handling and repetitive movements. This paper proposes a risk-aware rostering approach in maritime container terminals, i.e., it addresses the rostering problem of minimizing and balancing workers' risk in such terminals. To...

The efficacy of Hyper-Heuristics in tackling NP-hard Combinatorial Optimization problems has been widely shown by the extensive literature on the topic [1] [2]. Moreover, the recent successful results in Deep Reinforcement Learning research (see [3] for a thorough overview) lead to the idea of applying such methodologies in an online...

In recent years sustainability in manufacturing has become a fundamental topic in the scientific literature. Several authors highlighted the preeminent role of manufacturing industry in total world energy consumption and carbon emission (Garetti and Taisch, 2012; Liu et al., 2014), which in turn is the primary cause for triggering the...

This work addresses the Electric Vehicle Routing Problem with Time Windows (EVRPTW), which has been extensively studied in the recent years due to an increased attention to sustainability in transportation. E-VRPTW differs from the classical VRPTW because the service is provided by a fleet of Electric Vehicles (EVs). Since EVs have a reduced...

This special section of the IEEE Transactions on Automation Science and Engineering (T-ASE) focuses on new models, methods, and technologies for energy efficiency and sustainability in transportation and energy systems. In this section, the focus is thus on articles considering sustainable transportation, such as electric vehicles (EVs),...

At international level different new policies have been developed to reduce greenhouse gas emissions in the atmosphere. The result is an increase of green technologies for energy production and transportation. Electric vehicles (EVs) need to be charged in the fastest time possible and smart grids should afford such a request. Moreover, new...

In the latest years, energy-efficient scheduling has become an increasingly compelling and relevant matter due to both the rising global pollution levels and the growing interest of the industry towards sustainable manufacturing [1]. Specifically, many efforts have been devoted towards scheduling with the Time-of-Use (TOU) energy...

This work proposes two algorithms to the Bi-objective Shortest Path (BSP) problem, considering a fuzzy objective. Such approaches originally extend two classic label setting algorithms to solve BSP, in particular, the first one using a modified Gandibleux revision of Martin's algorithm and the second one based on the A* algorithm acceleration...

This work proposes two algorithms to the Bi-objective Shortest Path (BSP) problem, considering a fuzzy objective. Such approaches originally extend two classic label setting algorithms to solve BSP, in particular, the first one using a modified Gandibleux revision of Martin's algorithm and the second one based on the A* algorithm acceleration...