Seminar in presence and online streaming

Politecnico di Milano, Campus Bovisa
Room MEL Lab 2 – Building B20
Via R. Lambruschini, 15

Maroua Nouiri
Technology Institute, University of Nantes, France

Abstract:
Flexible job shop scheduling has been studied in recent decades due to its dynamic and uncertain nature. Responding to a systems’ perturbation in an intelligent way and with minimum energy consumption variation is an important matter. Fortunately, thanks to the development of artificial intelligence and machine learning, a lot of researchers are using these new techniques to solve the energy-efficient rescheduling problem. The disruption can refer to machine failure, new job arrival, variation of energy availability, etc.
In this seminar, some of energy-efficient scheduling and rescheduling methods will be presented.

Maroua Nouiri is an Assistant Professor of the Technology Institute of Nantes University since 2019 and researcher at the LS2N laboratory (LS2N UMR CNRS 6004). She got her PhD degree in Electronics and Information and Communication Technology from Polytechnic school of Tunisia in 2017. She started her research work in France at LAMIH Laboratory in Valenciennes; where she worked for two years as a Research Engineer (Post-doctoral fellow) in the European project ELSAT 2020 “Green Supply Chain”.  Her research focuses on the control, scheduling and optimization of discrete event systems (production and logistics systems, transportation, etc.). The flow management models she proposed are based on optimization algorithms (heuristics/meta-heuristics) distributed on multi-agent/holonic architectures. She is 2020 winner of the PULSAR Academy. The funding of PULSAR is sponsored by the University of Nantes and the Regional Council of Pays de la Loire, France. 

Maroua Nouiri is a visiting Assistant Professor at the Department of Management, Economics and Industrial Engineering within a collaboration of the Manufacturing Group, and in particular with the Assistant Professor Elisa Negri.

Please click here to register.