Project Title
Improving wine supply chain activities through operations research tools.
Partner Organisations
Internal ID
11190892
Principal Investigator
Start Date
2019

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      4Scopus© Citations 78
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    Measuring efficiency in the Chilean wine industry: a robust DEA approach
    (2020)
    VARAS VALDÉS, MAURICIO ANDRÉS  
    ;
    Franco Basso
    ;
    Sergio Maturana
    ;
    Raúl Pezoa
    ;
    Marcelo Weyler
    Scopus© Citations 15  2
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      20  1Scopus© Citations 7
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    Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile
    (2023)
    Franco Basso
    ;
    Jonathan Frez
    ;
    Hugo Hernández
    ;
    Víctor Leiva
    ;
    Raúl Pezoa
      9Scopus© Citations 15
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    Estimation of the Origin-Destination Matrix for Trucks That Use Highways: A Case Study in Chile
    (2022)
    Franco Basso
    ;
    Raúl Pezoa
    ;
    Nicolás Tapia
    ;
    VARAS VALDÉS, MAURICIO ANDRÉS  
    Nowadays, freight transport is crucial in the functioning of cities worldwide. To dig further into the understanding of urban freight transport movements, in this research, we conducted a case study in which we estimated an origin-destination matrix for the trucks traveling on Autopista Central, one of Santiago de Chile’s most important urban highways. To do so, we used full real-world vehicle-by-vehicle information of freight vehicles’ movements along the highway. This data was collected from several toll collection gates equipped with free-flow and automatic vehicle identification technology. However, this data did not include any vehicle information before or after using the highway. To estimate the origins and destinations of these trips, we proposed a multisource methodology that used GPS information provided by SimpliRoute, a Chilean routing company. Nevertheless, this GPS data involved only a small subset of trucks that used the highway. In order to reduce the bias, we built a decision tree model for estimating the trips’ origin, whose input data was complemented by other public databases. Furthermore, we computed trip destinations using proportionality factors obtained from SimpliRoute data. Our results showed that most of the estimated origins belonged to outskirt municipalities, while the estimated destinations were mainly located in the downtown area. Our findings might help improve freight transport comprehension in the city, enabling the implementation of focused transport policies and investments to help mitigate negative externalities, such as congestion and pollution.
    Scopus© Citations 7  6
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    Scopus© Citations 16  1
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    The impact of bus punctuality on users’ decisions and welfare
    (2022)
    Fernando Feres
    ;
    Franco Basso
    ;
    Raúl Pezoa
    ;
    VARAS VALDÉS, MAURICIO ANDRÉS  
    ;
    Eusebio Vargas-Estrada
    Scopus© Citations 9  4
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    A New Genetic Algorithm Encoding for Coalition Structure Generation Problems
    (2020)
    Juan Pablo Contreras
    ;
    BOSCH PÉREZ, PAUL JESÚS  
    ;
    VARAS VALDÉS, MAURICIO ANDRÉS  
    ;
    Franco Basso
    Genetic algorithms have proved to be a useful improvement heuristic for tackling several combinatorial problems, including the coalition structure generation problem. In this case, the focus lies on selecting the best partition from a discrete set. A relevant issue when designing a Genetic algorithm for coalition structure generation problems is to choose a proper genetic encoding that enables an efficient computational implementation. In this paper, we present a novel hybrid encoding, and we compare its performance against several genetic encoding proposed in the literature. We show that even in difficult instances of the coalition structure generation problem, the proposed approach is a competitive alternative to obtaining good quality solutions in reasonable computing times. Furthermore, we also show that the encoding relevance increases as the number of players increases.
    Scopus© Citations 12  1
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    Optimizing the wine transportation process from bottling plants to ports
    (2023)
    Franco Basso
    ;
    Juan Pablo Contreras
    ;
    Raúl Pezoa
    ;
    Alejandro Troncozo
    ;
    VARAS VALDÉS, MAURICIO ANDRÉS  
    Scopus© Citations 2  1
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    The Impact of Flashing on the Efficacy of Variable Message Signs: A Vehicle-by-Vehicle Approach
    (2022)
    Franco Basso
    ;
    Pedro Maldonado
    ;
    Raúl Pezoa
    ;
    Nicolás Szoloch
    ;
    VARAS VALDÉS, MAURICIO ANDRÉS  
    <jats:p>A great deal of research has examined the efficacy of variable message signs (VMS) to induce driver behavior changes, improve safety conditions, and decongest the traffic network. However, there is little literature regarding the most effective ways to display this information on VMS. Furthermore, none of the previous contributions have concentrated on analyzing what impact flashing VMS have on drivers by using real traffic data. This article seeks to bridge this gap, analyzing the effect of incorporating intermittent light stimulation to messages on drivers’ behavior on a Chilean highway, using vehicle-by-vehicle data obtained in a non-intrusive way. In order to do so, an experiment was carried out to measure the responses of drivers when faced with two types of messages: (1) those intended to induce a speed reduction and (2) those aimed at generating lane changes. From the statistical models we obtained several insights. Our results show that flashing messages may increase the effectiveness of VMS depending on environmental and traffic conditions. In particular, for speed moderation messages, we found 12 significant effects, showing, for example, that a flashing message is most effective in the hours of darkness, with low congestion, small spacing, and low average speeds. Additionally, it has a more significant impact on experienced drivers. On the other hand, for lane change messages, we found five significant effects, showing that flashing messaging reduces its effectiveness in situations where a high cognitive load is required, such as in high flow and high average speeds. No particular effects were identified in either case for specific vehicle types.</jats:p>
      16Scopus© Citations 7