Operations Research for Health Care in Red Zone
ORAHS 2022, Bergamo, Italy, July 17–22
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20 Result(s)
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Francesca Maggioni
Operations Research/Decision Theory
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Chapter and Conference Paper
Operations Research in the Red Zone
The EURO Working Group on Operational Research Applied to Health Services (ORAHS) provides a network for researchers involved in the application of systematic and quantitative analysis in the planning and mana...
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Book and Conference Proceedings
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Chapter and Conference Paper
Machine Learning Based Classification Models for COVID-19 Patients
The SARS-CoV-2 pandemic has pushed the National Health Service to extraordinary pressure, causing situations of imbalance between the request and availability of assistance. When the number of patients exceeds...
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Article
Open AccessOptimal chance-constrained pension fund management through dynamic stochastic control
We apply a dynamic stochastic control (DSC) approach based on an open-loop linear feedback policy to a classical asset-liability management problem as the one faced by a defined-benefit pension fund (PF) manager....
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Article
Open AccessA Stackelberg game for the Italian tax evasion problem
In this paper, we consider the problem of tax evasion, which occurs whenever an individual or business ignores tax laws. Fighting tax evasion is the main task of the Economic and Financial Military Police, whi...
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Article
Correction to: Preface: Stochastic optimization: theory and applications
This erratum is published due to proofing error as author corrections were overlooked.
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Article
Stochastic optimization: theory and applications
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Article
Bounds in multi-horizon stochastic programs
In this paper, we present bounds for multi-horizon stochastic optimization problems, a class of problems introduced in Kaut et al. (Comput Manag Sci 11:179–193, 2014) relevant in many industry-life applications t...
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Article
The value of the right distribution in stochastic programming with application to a Newsvendor problem
In this paper we introduce the concepts of the Value of the Right Distribution (VRD), the Performance Bound (PB) and the Worst-Case Performance Bound (WPB), which allow us to quantify how much we lose if we guess...
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Article
A multistage risk-averse stochastic programming model for personal savings accrual: the evidence from Lithuania
In this paper we consider the problem of choosing the optimal pension fund in the second pillar of Lithuanian pension system by providing some guidelines to individuals with defined contribution pension plans....
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Article
Reduced cost-based variable fixing in two-stage stochastic programming
The explicit consideration of uncertainty is essential in addressing most planning and operation issues encountered in the management of complex systems. Unfortunately, the resulting stochastic programming for...
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Chapter and Conference Paper
Bounding Multistage Stochastic Programs: A Scenario Tree Based Approach
Multistage mixed-integer stochastic programs are among the most challenging optimization problems combining stochastic programs and discrete optimization problems. Approximation techniques which provide lower ...
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Article
A scenario-based framework for supply planning under uncertainty: stochastic programming versus robust optimization approaches
In this paper we analyze the effect of two modelling approaches for supply planning problems under uncertainty: two-stage stochastic programming (SP) and robust optimization (RO). The comparison between the tw...
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Article
Monotonic bounds in multistage mixed-integer stochastic programming
Multistage stochastic programs bring computational complexity which may increase exponentially with the size of the scenario tree in real case problems. For this reason approximation techniques which replace t...
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Article
Solution Approaches for the Stochastic Capacitated Traveling Salesmen Location Problem with Recourse
A facility has to be located in a given area to serve a given number of customers. The position of the customers is not known. The service to the customers is carried out by several traveling salesmen. Each of...
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Article
Bounds in Multistage Linear Stochastic Programming
Multistage stochastic programs, which involve sequences of decisions over time, are usually hard to solve in realistically sized problems. Providing bounds for optimal solution may help in evaluating whether i...
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Article
Optimal Kinematics of a Looped Filament
New kinematics of supercoiling of closed filaments as solutions of the elastic energy minimization are proposed. The analysis is based on the thin rod approximation of the linear elastic theory, under conserva...
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Article
Analyzing the quality of the expected value solution in stochastic programming
Stochastic programs are usually hard to solve when applied to real-world problems; a common approach is to consider the simpler deterministic program in which random parameters are replaced by their expected v...
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Article
A stochastic model for the daily coordination of pumped storage hydro plants and wind power plants
We propose a stochastic model for the daily operation scheduling of a generation system including pumped storage hydro plants and wind power plants, where the uncertainty is represented by the hourly wind powe...
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Article
Stochastic optimization models for a single-sink transportation problem
In this paper, we study a single-sink transportation problem in which the production capacity of the suppliers and the demand of the single customer are stochastic. Shipments are performed by capacitated vehic...
