Project Title
Improving wine supply chain activities through operations research tools.
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Internal ID
11190892
Principal Investigator
Start Date
2019
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Item type:Publication, Measuring efficiency in the Chilean wine industry: a robust DEA approach(2020); ;Franco Basso ;Sergio Maturana ;Raúl PezoaMarcelo WeylerScopus© Citations 15 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A horizontal collaborative approach for planning the wine grape harvesting(2022); ;Franco Basso; ;Juan Pablo ContrerasRaúl Pezoa20 1Scopus© Citations 7 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 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 LeivaRaúl Pezoa9Scopus© Citations 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The impact of bus punctuality on users’ decisions and welfare(2022) ;Fernando Feres ;Franco Basso ;Raúl Pezoa; Eusebio Vargas-EstradaScopus© Citations 9 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A New Genetic Algorithm Encoding for Coalition Structure Generation Problems(2020) ;Juan Pablo Contreras; ; Franco BassoGenetic 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data(2021) ;Franco Basso ;Álvaro Cifuentes ;Francisca Cuevas-Pavincich ;Raúl PezoaScopus© Citations 12 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Accessibility to opportunities based on public transport gps-monitored data: The case of Santiago, Chile(2020) ;Franco Basso ;Jonathan Frez ;Luis Martínez ;Raúl PezoaScopus© Citations 29 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A vehicle-by-vehicle approach to assess the impact of variable message signs on driving behavior(2021) ;Franco Basso ;Alvaro Cifuentes ;Raúl PezoaScopus© Citations 16 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Estimation of the Origin-Destination Matrix for Trucks That Use Highways: A Case Study in Chile(2022) ;Franco Basso ;Raúl Pezoa ;Nicolás TapiaNowadays, 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 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimizing the wine transportation process from bottling plants to ports(2023) ;Franco Basso ;Juan Pablo Contreras ;Raúl Pezoa ;Alejandro TroncozoScopus© Citations 2 1