Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Cristiano Arbex-Valle"'
Publikováno v:
International Transactions in Operational Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61eb2ffb3de750f56fa0572856845ceb
https://doi.org/10.1111/itor.13297
https://doi.org/10.1111/itor.13297
Publikováno v:
Computational Economics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08e3d0165a6ab36ef863549be96a0bad
https://doi.org/10.1007/s10614-023-10387-2
https://doi.org/10.1007/s10614-023-10387-2
Autor:
Cristiano Arbex Valle, Filipe Lauar
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track ISBN: 9783030676698
ECML/PKDD (5)
ECML/PKDD (5)
Insider trading is known to negatively impact market risk and is considered a crime in many countries. The rate of enforcement however varies greatly. In Brazil especially very few legal cases have been pursued and a dataset of previous cases is, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d17072efdceb7bf7b537ab60683bce
https://doi.org/10.1007/978-3-030-67670-4_15
https://doi.org/10.1007/978-3-030-67670-4_15
Publikováno v:
SSCI
Forecasting asset volatility is a common and important application in finance, often used as a measure of the future risk of an investment. With high-frequency data availability in the last few decades, new volatility models have been proposed that m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9f912fdb84e0b4c10a332baf84fc398
https://doi.org/10.1109/ssci47803.2020.9308249
https://doi.org/10.1109/ssci47803.2020.9308249
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48910817820731ba870c5d8717ed487f
https://doi.org/10.2139/ssrn.3706827
https://doi.org/10.2139/ssrn.3706827
Publikováno v:
European Journal of Operational Research. 271:57-71
The Multi-period Degree Constrained Minimum Spanning Tree Problem (MP-DCMSTP) is defined in terms of a finite discretized planning horizon, an edge weighted undirected graph G, degree bounds and latest installation dates assigned to the vertices of G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca49692033eb8397f74289e3bbc5947
https://doi.org/10.1016/j.ejor.2018.05.010
https://doi.org/10.1016/j.ejor.2018.05.010
Publikováno v:
European Journal of Operational Research. 262:817-834
In this work we investigate the problem of order batching and picker routing in storage areas. These are labour and capital intensive problems, often responsible for a substantial share of warehouse operating costs. In particular, we consider the cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb6788ac37bf484b17471d7956205315
https://doi.org/10.1016/j.ejor.2017.03.069
https://doi.org/10.1016/j.ejor.2017.03.069
Autor:
Cristiano Arbex Valle, John E. Beasley
In this paper we investigate the problem of simultaneously allocating orders and mobile storage racks to static pickers. Here storage racks are allocated to pickers to enable them to pick all of the products for the orders that have been allocated to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74885d7b4878010d584e190cb3ca2bea
http://arxiv.org/abs/1903.06702
http://arxiv.org/abs/1903.06702
Autor:
Cristiano Arbex Valle, John E. Beasley
In this paper we investigate the problem of order batching for picker routing. Our approach is applicable to warehouses (storage areas) arranged in the standard rectangular grid layout, so with parallel aisles and two or more cross-aisles. The motiva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a724a8dd2e899959daa46bdefbf97333
http://arxiv.org/abs/1808.00499
http://arxiv.org/abs/1808.00499
Publikováno v:
High-Performance Computing in Finance ISBN: 9781315372006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263eefb7353cfbd3ebb99ff62eed6665
https://doi.org/10.1201/9781315372006-2
https://doi.org/10.1201/9781315372006-2