Bachelor's Degree Programme in
Linguistic and Cultural Mediation

Linguistic and Cultural Mediation [LT5-21-21]
Enrolled in a.y. 2021/2022

Daniela FAVARETTO

Qualifica
Professoressa Associata
Telefono
041 234 6936 / 041 234 6690
E-mail
favaret@unive.it
SSD
Ricerca operativa [MATH-06/A]
Sito web
www.unive.it/persone/favaret (scheda personale)
Struttura
Venice School of Management
Sito web struttura: https://www.unive.it/management
Sede: San Giobbe
Struttura
Centro Interdipartimentale "Scuola Interdipartimentale in Economia, Lingue e Imprenditorialità per gli Scambi Internazionali"
Sito web struttura: https://www.unive.it/selisi
Sede: Treviso - Palazzo San Paolo

Laureata in Matematica, presso l’Università di Padova.

Dottore di Ricerca in Matematica Applicata ai Problemi Economici, presso l’Università di Trieste.

ricercatore di Ricerca Operativa (MAT/09) presso l’Università Ca’ Foscari di Venezia.

Professore associato di Ricerca Operativa (MAT/09) presso l’Università Ca’ Foscari di Venezia, Dipartimento di Management (VSM – Venice School of Management).

L’attività scientifica si è concentrata soprattutto sui seguenti temi per i quali si riportano solo le pubblicazioni più significative:

Ottimizzazione e marketing

-  Favaretto D., Grosset L., Viscolani B. (2017). Advertising a social event in a heterogeneous market, Journal of Interdisciplinary Mathematics, 19, pp. 999-1014

-  Favaretto D., Viscolani B. (2009). Advertising and production of a seasonal good for a heterogeneous market, 4OR, 8, pp. 141-153

-  Favaretto D., Viscolani B. (2004). A general model for the marketing of seasonal products, Journal of Interdisciplinary Mathematics, 7, 3, pp. 349-366

-  Favaretto D., Viscolani B. (1999). A multiperiod production and advertising problem for a seasonal product, Annals of Operations Research, 88, pp. 31-45

Problematiche di logistica

-  Pellegrini P., Favaretto D. (2013). Quantifying the exploration performed by metaheuristics, Journal of Experimental & Theoretical Artificial Intelligence, 24, pp. 247-266

-  Favaretto D., Moretti E., Pellegrini P. (2007). Ant Colony System for a VRP with Multiple Time Windows and Multiple Visits, Journal of Interdisciplinary Mathematics, 10, 2, pp. 263-284

-  Favaretto D., Moretti E. e Pellegrini P. (2006). An Ant Colony System Approach for Variants of the Traveling Salesman Problem with Time Windows, Journal of Information and Optimization Sciences, 27, 1, pp. 35-54

-  Baita F., Favaretto D., Pesenti R., Ukovich W. (2000). A comparison of different solution approaches to the Vehicle Scheduling Problem in a practical case, Computers & Operations Research, 27, pp. 1249-1269

Problemi di selezione di portafoglio e problemi di investimento ottimo

-  Corazza M., Favaretto D. (2007). On the existence of solutions to the quadratic mixed integer mean variance portfolio selection problem, European Journal of Operational Research, 176, 3, pp.1947-1960

Problemi di pricing

-  Baldin A., Bille T., Ellero A., Favaretto D. (2019). Revenue and attendance simultaneous optimization in performing arts organizations, Journal of Cultural Economics, 42, pp. 677-700

Modelli sociofisici

-  Ellero A., Fasano G., Favaretto D. (2020). An application of Linear Programming to sociophysics models, in Modeling and Analysis of Complex Systems and Processes – MACSPro’2020. In CEUR WORKSHOP PROCEEDINGS, 2795, pp. 23-33

-  Ellero A., Fasano G., Favaretto D. (2023). Mathematical Programming for the Dynamics of Opinion Diffusion, Physics, 5

Problemi di Supply Chain

-  Favaretto D., Marin A. (2018). An empirical comparison study between DDMRP and MRP in Material Management, in Working Paper Series, 15/2018, pp. 1-11, Department of Management, Università Ca’ Foscari Venezia

-  Favaretto D., Marin A., Tolotti M. (2021). A data-driven and risk-based prudential approach to validate the DDMRP planning and control system, Working Paper Series, 9/2021, pp. 1-26, Department of Management, Università Ca’ Foscari Venezia

-  Favaretto, D, Marin, A, Tolotti, M (2023). A theoretical validation of the DDMRP reorder policy, Computation Management Science, 20, p. 1-28