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Amel Ben Mabrouk

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Qualifications: PhD, Industrial Engineering, Research Master, Industrial Systems Engineering, Bachelor, Industrial Management

Biography

Dr. Amel Ben Mabrouk is Associate professor at MSB. She holds a PhD from the National Engineering School of Tunis (ENIT) with ‘High honors’. She started her higher education with a Bachelor in Industrial Management, and she continued with a Research Master and a PhD thesis in Industrial Engineering, after a brief industrial experience as a quality manager. This path allowed her to acquire solid skills, in particular, in Supply Chain Management, Operations Management, Reliability and Maintenance Management. Dr. Amel received the MSB Best Teacher Award in 2024.

Areas of Expertise

Project management ERP Systems and digitalization

Research Interest

Supply chain management Maintenance management

A quasi-optimal inspection strategy for leased equipment.
https://www.tandfonline.com/doi/full/10.1080/00207543.2019.1602743

Optimal maintenance policy for equipment leased with warranty
https://hal.archives-ouvertes.fr/hal-03177855/document

Joint preventive maintenance and extended warranty strategy for leased unreliable equipment submitted to imperfect repair at failure
https://www.sciencedirect.com/science/article/pii/S2405896322018614

Optimal maintenance policy for equipment leased with base and extended warranty

Optimal maintenance policy for equipment leased with basic and extended warranty. Research Coffee Corner (Session 1)

Optimal Maintenance Policy for Equipment Submitted to Multi-Period Leasing as a Circular Business Model
https://www.mdpi.com/2071-1050/16/12/5238

Optimal imperfect maintenance strategy for leased equipment
https://www.sciencedirect.com/science/article/abs/pii/S0925527316300585

Optimal imperfect preventive maintenance policy for equipment leased during successive periods

Optimal hybrid imperfect preventive maintenance policy for leased equipment
https://www.sciencedirect.com/science/article/pii/S2405896317334663

Determination of the inventory policies parameters applied within VMI approach

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