Adriano Masone

• University of Naples Federico II

This paper addresses a real-world Integrated Operating Room Planning and Scheduling (IORPS) problem encountered by a local hospital in Naples, characterized by stringent emergency management constraints, requiring treatment initiation within a 20-minute time-window. We tackle this problem by an original Integer Linear Programming formulation, capab...

Instaces associated to the paper CAOR-106490 (https://doi.org/10.1016/j.cor.2023.106490) Downloadable also from https://zenodo.org/records/7963514

Pancreatic cancer presents a significant challenge in detection and treatment, with a shallow five-year survival rate. The small size and variable shape of the pancreas make it challenging to identify the presence of cancer in its early stages. To address this problem, we propose a novel method for the semantic segmentation of the pancreas in Compu...

The teaching of mathematics in high school and university and its relationship with problem modelling and solving is at the centre of debate in many countries, with a rich scientific literature. The theme has to be viewed in a broader framework. The definition of educational chain is preliminary given, starting from the content of a discipline and...

Blood and blood products are crucial resources requiring effective management strategies and policies due to the potential severe consequences that could arise from their lack. Over the past two decades, the global healthcare community has recognized the significance of managing the Blood Supply Chain (BSC) efficiently and effectively. This include...

Surgery department with its operating rooms represents the financial backbone of modern hospitals accounting the main part of a hospital cost and revenue. Therefore, maximizing its efficiency is of vital importance since it can have important implications on cost saving and patient satisfaction. In this context, Operations Research methodologies ca...

Nowadays, truck‐and‐drone problems represent one of the most studied classes of vehicle routing problems. The Flying Sidekick Traveling Salesman Problem ( FS‐TSP ) is the first optimization problem defined in this class. Since its definition, several variants have been proposed differing for the side constraints related to the operating conditions...

Nowadays, automated guided vehicles (AGVs) are frequently used in larger systems, known as AGV-based transportation systems, for the movement of goods and materials from one location to another. The design of an efficient and effective AGV-based transportation system requires to address many tactical and operational issues. Among the others, the sc...

Several initiatives have been implemented worldwide to foster student interest towards STEM disciplines. These initiatives are based on the awareness that mathematics is essential for scientific and technological advancement: it trains to reasoning and reflection, stimulates logical capabilities and intuition, improve investigation attitude. Most o...

In this short paper, we use regression models to highlight a key point in practical vehicle routing. In particular, we focus on an important problem experienced by delivery and service companies. These companies dispatch vehicles to deliver products and provide services to customers. For the capacitated vehicle routing problem, we show that reducin...

In recent years, the usage of drones in last-mile logistics has stirred great interest in the operations research community. Many papers have considered schemes of hybrid truck-and-drone delivery. In this paper, we focus on the Multivisit Drone Routing Problem with Edge Launches (MVDRP-EL) which assumes: a heterogenous set of packages, a drone capa...

In the unconstrained two-dimensional cutting (U2DC) problem, we are given a large rectangular sheet to be dissected in order to extract small rectangular pieces, with no limits on the number (demand) of desired pieces. We face the variant with guillotine constraint, requiring to dissect any rectangle in two parts through vertical/horizontal cuts wi...

The integration of new distribution technologies in the delivery systems, specifically drones, has been investigated by several companies to reduce the last mile logistic costs. The most promising delivery system, in terms of emissions and completion time reduction, consists of a truck and a drone operating in tandem for the parcel delivery to the...

Nowadays, AGVs are frequently used in industries for the internal transportation of goods or pallets. The aim of an AGV-based internal transportation system is to transfer the right amount of the right material to the right place at the right time. Therefore, the determination of a good scheduling of the AGV tasks is essential to overcome delays in...

The integration of new distribution technologies in the delivery systems, specifically drones, has been investigated by several companies to reduce the Last-Mile Logistics costs. In this context, different truck-and-drone delivery systems have been proposed in literature, where the truck operates as a mobile depot for the drones. In this work, we s...

In the paper, an analytical method for determining the optimal positioning of intelligent electronic devices in medium voltage grids is proposed. Intelligent electronic devices are automated devices able to communicate one with each other and command the circuit breaker in order to localize and isolate a line fault as fast as possible. However, the...

The flying sidekick traveling salesman problem (FS-TSP) is a parcel delivery problem arising in the last-mile logistics, where the distribution plan of a driver-operated truck assisted by a drone (unmanned aerial vehicle, UAV) has to be defined. The FS-TSP is a variant of the TSP where routing decisions are integrated with customer-to-drone and cus...

Local governments inspect roads to decide which segments and intersections to repair. Videos are taken using a camera mounted on a vehicle. The vehicle taking the videos proceeds straight or takes a left turn to cover an intersection fully. We introduce the intersection inspection rural postman problem (IIRPP), which is a new variant of the rural p...

In this work we focus on the flying sidekick traveling salesman problem (FS-TSP). The FS-TSP arises in the last-mile distribution context and it is a variant of the TSP aimed at determining the distribution plan of a driver-operated truck assisted by a drone (unmanned aerial vehicle, UAV), where the synchronization between the two vehicles allows t...

This proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on “Optimization and Data Science: Trends and Applications”, held online, from February 8 to 12, 2021. The joint event was organized by AIROYoung representatives and the Operations Research Group of the Department of Electrical Engin...

Nowadays vehicles are highly customizable products. Indeed, they can be equipped with a great number of options directly chosen by the customers. This situation provides several harness design problems to automotive companies, where by harness we mean the set of conducting wires (cables), positioned within the vehicle frame (chassis), which transmi...

Postboxes generally represent a cost for a postal service provider since they require to be maintained and daily visited by an operator to collect the letters. On the other hand, for the users, they are the main access points to the postal network and so the reduction of their number could result in a deterioration of the quality of the service for...

In this paper, statistical analysis of lightning induced voltages on distribution lines accounting for lossy ground is proposed. The analysis is performed by means of a Monte Carlo-based probabilistic approach. It aims at deducing parametric distributions that best fit the probability density functions of the induced voltages. A lightning model bas...

Quantum computing (QC) represents a great challenge for both academia and private companies and it is currently pursuing the development of quantum algorithms and physical realizations of quantum computers. Quantum algorithms exploit the concept of quantum bit (qubit). They are implemented by designing circuits which consider an ideal quantum compu...

The minimum routing cost tree problem arises when we need to find the tree minimizing the minimum travel/communication cost, i.e., the tree which presents the minimal difference with the same cost computed on the whole network. This paper provides the state of the art of the problem and proposes a new heuristic based on the identification of a core...

The p-median problem (PMP) is the well known network optimization problem of discrete location theory. In many real applications PMPs is defined on very large scale networks, for which ad-hoc exact and/or heuristic methods have to be developed. To this aim, in this work we propose a heuristic decomposition approach which exploits the decomposition...

The optimal diversity management problem (ODMP) arises in many application fields when a company, producing a good and/or a service customizable with options, has to satisfy many different client demands with various subset of options, but only a limited number of option combinations can be produced. ODMP can be represented by a disconnected networ...

The ultra-high bandwidth available at millimeter (mmWave) and Terahertz (THz) frequencies can effectively realize short-range wireless access links in small cells enabling potential uses such as driver-less cars, ultra-high-definition infotainment services and data backhauling. In this context, in alternative to fiber-based and legacy wireless-base...

Logical Analysis of Data deals with the classification of huge data set by boolean formulas and their synthetic representation by ternary string, referred to as patterns. In this context, the simple pattern minimality problem (SPMP) arises. It consists in determining the minimum number of patterns “explaining” an initial data set of binary strings....