Operations Research for Health Care in Red Zone
ORAHS 2022, Bergamo, Italy, July 17–22
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Chapter and Conference Paper
A Robust Nonlinear Support Vector Machine Approach for Vehicles Smog Rating Classification
Nowadays all new vehicles are labelled in terms of their emissions thanks to ad hoc legislation. However, from a practical perspective, it is difficult to rank all of them. This paper considers the problem of cla...
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Chapter and Conference Paper
A Threshold Recourse Policy for the Electric Vehicle Routing Problem with Stochastic Energy Consumption
The Electric Vehicle Routing Problem (EVRP) aims at routing Electric Vehicles (EVs) while planning their stops at Charging Stations (CSs), due to the limited autonomy of their batteries. The majority of studie...
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Chapter and Conference Paper
A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions
This paper considers the problem of predicting vehicles smog rating by applying a novel Support Vector Machine (SVM) technique. Classical SVM-type models perform a binary classification of the training observa...
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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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Chapter
Forecasting Methods and Optimization Models for the Inventory Management of Perishable Products: The Case of “La Centrale del Latte di Vicenza SpA”
This paper is a report on a joint project by the Department of Management, Economics and Quantitative Methods of the University of Bergamo (in collaboration with the Department of Economics and Management of t...
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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
A Two-Stage Stochastic Model for Distribution Logistics with Transshipment and Backordering: Stochastic Versus Deterministic Solutions
We present a two-stage stochastic program for a distribution logistic system with transshipment and backordering under stochastic demand and we first argue that it is NP-hard. Then, we perform a computational ...
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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...
