Dottorato in Matematica Pura E Applicata , 36o ciclo (2020-2023)
Dottorato concluso nel 2024
Tesi:
Dynamic optimization under uncertainty: Applications in engineering, manufacturing, and retail. (Abstract)
Tutori:
Paolo BrandimarteDidattica
Insegnamenti
Corso di laurea magistrale
- Challenge@PoliTo by Firms - Fill up with green energy in motorway. A.A. 2020/21, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
Pubblicazioni
Pubblicazioni degli ultimi anni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Gioia, DANIELE GIOVANNI (2024)
Dynamic optimization under uncertainty: Applications in engineering, manufacturing, and retail.. relatore: BRANDIMARTE, PAOLO; , 36. XXXVI Ciclo, P.: 120
Doctoral Thesis - Fadda, Edoardo; Gioia, Daniele Giovanni; Brandimarte, Paolo (2023)
Risk-averse Approaches for a Two-Stage Assembly-to-Order Problem. In: Optimization and Decision Science: Operations Research, Inclusion and Equity / S.N., S.L., Springer, pp. 147-156. ISBN: 978-3-031-28862-3
Contributo in Volume - Gioia, Daniele Giovanni; Minner, Stefan (2023)
On the value of multi-echelon inventory management strategies for perishable items with on-/off-line channels. In: TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, vol. 180, pp. 1-13. ISSN 1366-5545
Contributo su Rivista - Gioia, Daniele G.; Fior, Jacopo; Cagliero, Luca (2023)
Early portfolio pruning: a scalable approach to hybrid portfolio selection. In: KNOWLEDGE AND INFORMATION SYSTEMS. ISSN 0219-1377
Contributo su Rivista - Gioia, Daniele Giovanni; Felizardo, Leonardo Kanashiro; Brandimarte, Paolo (2023)
Simulation-based inventory management of perishable products via linear discrete choice models. In: COMPUTERS & OPERATIONS RESEARCH, vol. 157, pp. 1-12. ISSN 0305-0548
Contributo su Rivista - Gioia, Daniele Giovanni; Felizardo, Leonardo Kanashiro; Brandimarte, Paolo (2022)
Inventory management of vertically differentiated perishable products with stock-out based substitution. In: 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Nantes (FR), 22-24 June 2022, pp. 2683-2688. ISSN 2405-8963
Contributo in Atti di Convegno (Proceeding) - Gioia, Daniele Giovanni; Pasta, Edoardo; Brandimarte, Paolo; Mattiazzo, Giuliana (2022)
Data-driven control of a Pendulum Wave Energy Converter: A Gaussian Process Regression approach. In: OCEAN ENGINEERING, vol. 253. ISSN 0029-8018
Contributo su Rivista