SMART MANUFACTURING LAB
As a teaching assitant, I mentored one group, with the aim at exploiting the tools and methods learned to analyze, formalize and provide a solution to the typical machine scheduling problems in the real manufacturing plants. The projects are collaborated with industries.
The following activities are carried out:
- Machine scheduling knowledge: seminars/lectures to deepen all the technological and management aspects connected to the problem under study, e.g., parallel machine scheduling, resource constrained project scheduling.
- Data collection and processing: basic data collection and processing skills in real industrial contexts will be provided and used to design and/or validate the solutions provided.
- Modelling skills, e.g., mixed interger programming(MIP) formulation skills and mathematical solver useage, simulation modelling skills.
- Data analysis and visualization skills are delivered.
TA, Management Engineering Master Course, Politecnico di Milano, 2020-2021
Project: Application of Lean methodology to optimize Dial Screen Printing Scheduling
Collaborator: Magneti Marelli S.p.A.
Supervised Students: Alessandro Talacchini, Chiara Tommaseo, Riccardo Bassani
TA, Management Engineering Master Course, Politecnico di Milano, 2021-2022
Project: Optimization of SMT pick-and-place equipment for PCB assembly
Collaborator: Magneti Marelli S.p.A.
Supervised Students: Davide Toresini, Martina Marini, Federico Marino
TA, Management Engineering Master Course, Politecnico di Milano, 2022-2023
Project:
Collaborator: Parker Hannifin Italy
Supervised Students: Asem Meselhy Melegy Shabayek, Emilio Basenghi, Luca Scotti