Titlebook: Optimization and Decision Science; ODS, Virtual Confere Raffaele Cerulli,Mauro Dell‘Amico,Antonio Sforza Book 2021 The Editor(s) (if applic

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Optimal Improvement of Communication Network Congestion via Nonlinear Programming with Generalized Nstraints, where each player is a user who has to send his/her flow over a path in the network. The cost function of each player consists of two parts: a pricing and a utility term. Within this framework we assume that the network system manager can invest a given amount of money to improve the netwo

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Modelling and Solving Patient Admission and Hospital Stay Problemsging and concern with the assignment of a set of patients to a set of rooms in a well-defined planning horizon by satisfying several constraints. Hospitals usually face this complex problem of planning admissions and assigning patients to rooms manually, requiring long staff time and high costs. The

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The Value of the Stochastic Solution in a Two-Stage Assembly-to-Order Problemdemand is realized. The problem can be naturally cast as a two-stage stochastic linear program with recourse, and possibly generalized to multiple stages. We investigate the two-stage case not only because it make sense, e.g., in specific newsvendor-like applications, but also because it allows a th

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A Two-Echelon Truck-and-Drone Distribution System: Formulation and Heuristic Approache 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 study a two-echelon truck-and-drone distribution system where the first-echelon is composed of the de

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