Roberto Rosario CORSINI

Fixed-term Assistant Professor (RTDA) of Manufacturing technology and systems [ING-IND/16]

Roberto Rosario Corsini is a Fixed-Term Assistant Professor - ssd IIND-04/A (EX. ING-IND/16), AREA 09. He is an Industrial and Management Engineer with a Phd in Complex Systems. The teaching coruses are the following: 'Production planning and control - Master's Degree in Management Engineering' and 'Manufacturing technology management - Master's Degree in Mechanical Engineering'.

ACADEMIC CURRICULUM

- From 01-03-2024 ongoing: Fixed-Term Assistant Professor (RTDa) at the DICAR Department, University of Catania. European research project: “Heterogeneous Integration for Connectivity and Sustainability (HiConnects)”.

- From 26-05-2022 to 26-09-2023: Research Fellowship at the DICAR Department, University of Catania. Research project: “Giustizia Smart: Strumenti e modelli per ottimizzare il lavoro dei giudici - JustSmart.”

- From 31-10-2018 to 30-01-2022: PhD in Complex Systems at the DFA Department, University of Catania. Thesis title: "Improving the operations management in outpatient chemotherapy oncology departments for reducing the patient waiting time".

- From 20-01-2020 to 14-05-2020: Research period at the Industrial Management Research Group, University of Seville (Spain).

- From 03-03-2023 to 15-03-2023: Teaching activity for the course "Advanced Design and Management of Supply Chains" in the Master's Degree in Industrial Engineering of the University of Seville (Spain).

- From 20-06-2024 ongoing: Editorial board member of the scientific journal European Journal of Industrial Engineering.

- From 18-06-2023 to 22-06-2023: Chair at the 32nd International Conference on Flexible Automation and Intelligent Manufacturing, Porto (Portugal).

- From 23-08-2021 to 27-08-2021: Co-chair at the 17th International Conference on Automation Science and Engineering (IEEE CASE 2021), Lyon (France).

1. Costa, A., Corsini, R. R., Pagano, D., & Fernandez-Viagas, V. (2025). A new composite heuristic to minimize the total tardiness for the single machine scheduling problem with variable and flexible maintenance. Computers & Operations Research173, 106849.

2. Corsini, R. R., Costa, A., Fichera, S., & Framinan, J. M. (2024). Digital twin model with machine learning and optimization for resilient production–distribution systems under disruptions. Computers & Industrial Engineering191, 110145.

3. Corsini, R. R., Cannella, S., Dominguez, R., & Costa, A. (2024). Closed-loop supply chains: How do production capacity and production control policies impact the performance?. Computers & Industrial Engineering189, 109939.

4. Corsini, R. R., Costa, A., & Framinan, J. M. (2024). An adaptive product changeover policy for a capacitated two-product supply chain in a non-stationary demand environment. International Journal of Management Science and Engineering Management19(2), 155-166.

5. Corsini, R. R., Costa, A., Fichera, S., Pluchino, A., & Parrinello, V. (2024). System design of outpatient chemotherapy oncology departments through simulation and design of experiments. International Journal of Management Science and Engineering Management19(1), 15-28.

6. Corsini, R. R., Costa, A., Oriti, G., Fichera, S., Vinciguerra, D., Scroppo, M. S., & Pagano, D. (2024). Comparing dispatching rules for minimizing the total weighted tardiness in the cleaning-diffusion manufacturing stage. In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) (pp. 2481-2486). IEEE.

7. Fichera, V., Longo, L. L., Corsini, R. R., Fichera, S., & Costa, A. (2024). Reinforcement learning for the supply chain dynamics problem with production capacity constraints and non-stationary demand. In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) (pp. 1208-1213). IEEE.

8. Corsini, R. R. (2023). Adaptive production control of two-product closed-loop supply chain dynamics under disruptions. Journal of Industrial and Production Engineering40(8), 638-660.

9. Corsini, R. R., Costa, A., Cannella, S., & Framinan, J. M. (2023). Analysing the impact of production control policies on the dynamics of a two-product supply chain with capacity constraints. International Journal of Production Research61(6), 1913-1937.

10. Corsini, R. R., Costa, A., Fichera, S., & Pluchino, A. (2023). A configurable computer simulation model for reducing patient waiting time in oncology departments. Health Systems12(2), 208-222.

11. Fichera, S., Costa, A., Corsini, R. R., & Parrinello, V. (2023). Application of lean techniques and simulation to improve efficiency of the oncology department. International Journal of Services and Operations Management44(2), 270-292.

12. Fussone, R., Cannella, S., Corsini, R. R., & Framiñan, J. M. (2023). Assessing the Impact of Remanufacturing Through Industrial Symbiosis on Supply Chain Performance. In International Workshop on Autonomous Remanufacturing (pp. 329-339). Cham: Springer Nature Switzerland.

13. Corsini, R. R., Costa, A., Fichera, S., & Framinan, J. M. (2023). DDMRP as Production Control Policy in a Two-Product Closed-Loop Supply Chain. In International Conference on Flexible Automation and Intelligent Manufacturing (pp. 103-110). Cham: Springer Nature Switzerland.

14. Corsini, R. R., Costa, A., Fichera, S., & Parrinello, V. (2023). Scheduling Chemotherapy Outpatient Appointments: A Self-adaptive Metaheuristic Approach. In International Conference on Flexible Automation and Intelligent Manufacturing (pp. 169-177). Cham: Springer Nature Switzerland.

15. Corsini, R. R., Costa, A., Fichera, V., & Framinan, J. M. (2023). Artificial neural networks and metaheuristic optimization to increase the performance of supply chains under disruption. Proceedings of International Conference on Computers and Industrial Engineering, CIE. 1, pp. 257–266.

16. Costa, A., Cannella, S., Corsini, R. R., Framinan, J. M., & Fichera, S. (2022). Exploring a two-product unreliable manufacturing system as a capacity constraint for a two-echelon supply chain dynamic problem. International Journal of Production Research60(3), 1105-1133.

17. Corsini, R. R., Costa, A., Fichera, S., & Parrinello, V. (2022). Hybrid harmony search for stochastic scheduling of chemotherapy outpatient appointments. Algorithms15(11), 424.

18. Corsini, R. R., Costa, A., Fichera, S., & Framinan, J. M. (2022). A new data-driven framework to select the optimal replenishment strategy in complex supply chains. IFAC-PapersOnLine55(10), 1423-1428.

19. Corsini, R. R., Fichera, S., & Costa, A. (2022). Assessing the effect of a novel production control policy on a two-product, failure-prone manufacturing/distribution scenario. Selected Topics in Manufacturing: AITeM Young Researcher Award 2021, 1-20.

20. Corsini, R. R., Costa, A., & Fichera, S. (2021). Comparing production control policies in two-product supply chain dynamics. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1002-1007). IEEE.

21. Costa, A., Corsini, R. R., Cappadonna F. A., & Fichera, S. (2018). MILP models for scheduling dynamic jobs with sequence dependent setup times and a variable maintenance on a single machine. Journal of Advances in Applied & Computational Mathematics. 5, 29-36.

VIEW THE COURSES FROM THE A.Y. 2022/2023 TO THE PRESENT

Scheduling | Semiconductor Manufacturing Systems | Production Control | Supply Chains | Simulation model | Heuristic | Metaheuristic | AI - Machine Learning | Healthcare Systems | Lean Manufacturing