Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Annarita De Maio"'
Autor:
Annarita De Maio
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2679 (2024)
This paper introduces a two-echelon optimization model for the integrated routing of an electric vehicle (EV) and a traditional internal combustion engine vehicle (ICEV) in an urban environment. The scientific context of this study is sustainable urb
Externí odkaz:
https://doaj.org/article/e96e4e17778a49699050ba2a061bbd6b
Publikováno v:
Soft Computing. 27:7039-7050
Publikováno v:
Proceedings of the 12th International Conference on Operations Research and Enterprise Systems.
Autor:
Filomena Olivito, Patrizia Beraldi, Immacolata Straface, Antonio Violi, Annarita De Maio, Giuseppe Potrino
Publikováno v:
International Journal of Transport Development and Integration. 5:69-80
Autor:
Annarita De Maio, Demetrio Laganà
Publikováno v:
Procedia Manufacturing. 42:462-466
Vendor Managed Inventory (VMI) is a coordination paradigm in the integrated management of the supply-chain that tries to optimize simultaneously inventory and routing. In this system, the decisions about timing and level of customer’s replenishment
Publikováno v:
Soft Computing.
In this paper, we focus on a location-routing problem (LRP) in the dairy industry. This problem consists of locating a cold storage warehouse, from which vehicles of limited capacity are dispatched to serve a given number of supermarkets with uncerta
Publikováno v:
Optimization Letters. 15:1565-1577
In this paper we address a real industrial application involving a company that manages an e-marketplace for logistics services in the Italian territory. For the carriers, the main service offered by the company consists in the design of the optimal
Publikováno v:
Transportation Research Part E: Logistics and Transportation Review. 122:524-544
In this paper we solve a practical Multi-Depot Inventory Routing Problem ( MDIRP ). One minimizes routing costs by determining how to serve the customers from different depots, managing their inventory levels to avoid stock-outs. The MDIRP optimizes
Autor:
Elisabetta Fersini, Antonio Violi, Daniele Ferone, Annarita De Maio, Enza Messina, Francesco Santoro
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783030512217
We describe a Smart Tourism System called SMARTCAL, designed in the context of a R&D project aimed at supporting the tourism development in Calabria (a region in the South of Italy). The system is designed by considering Points and Events of Interest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6120bcd7f44ff3b6efb60ee3501c42
http://hdl.handle.net/10281/298203
http://hdl.handle.net/10281/298203