*Title: **Energy-Efficient **Production **and Maintenance **Planning*
Laboratory: Ecole des Mines de Saint-Étienne - Department of
Manufacturing Sciences & Logistics, UMR CNRS LIMOS 6158, Campus
Aix-Marseille-Provence, Gardanne (Bouches-du-Rhône), France.
*Start Date: October 2025*
*Funding:* University
*Supervisors:*
- *Nabil ABSI* – Professor (absi@emse.fr)
- *Elodie SUZANNE* – Associate Professor (elodie.suzanne@emse.fr)
*Keywords:* Modeling and optimization, production planning, maintenance
planning, energy management, sustainable manufacturing
*Context : *Production planning, a central pillar of operations
management, plays a crucial role in optimizing manufacturing processes
while efficiently meeting market demand in an economic and sustainable
manner. However, the emergence of environmental concerns, the continuous
rise in energy costs, and the need to comply with legal obligations
regarding greenhouse gas emissions have introduced a major new
challenge: integrating energy constraints into industrial strategies. In
recent years, energy management in production operations has gained
undeniable importance.
*Objectives: *This PhD aims to integrate energy considerations into
production planning while incorporating maintenance management. Although
maintenance can be costly and energy-intensive, it remains essential to
prevent equipment failures and optimize energy consumption. The primary
objective is to develop a combined production and maintenance planning
approach based on predictive indicators of equipment conditions. This
research will contribute to the expanding field of sustainable
manufacturing by proposing a novel planning approach that minimizes both
energy consumption and unexpected downtimes.
Another focus will be on designing innovative solution methods to
address the challenges posed by this integration. The solutions
developed will rely on decomposition techniques, with a particular
emphasis on designing efficient exact methods for the identified
subproblems.
*Candidate Profile: *Candidates must hold a Master's degree or an
engineering diploma in Operations Research, Applied Mathematics,
Computer Science, or related disciplines. Strong programming skills and
a solid understanding of combinatorial optimization are required. The
candidate should demonstrate autonomy and a strong sense of initiative.
*Application Process: *Please send your application via email (in a
single file) including:
- A detailed CV,
- Transcripts,
- Recommendation letters (if available),
to Nabil ABSI (absi@emse.fr) and Elodie SUZANNE (elodie.suzanne@emse.fr).
Do not hesitate to contact us for further questions regarding the position.
--
Nabil Absi
Professor and Head of the department
Department of Manufacturing Sciences and Logistics
Ecole des Mines de Saint-Etienne
LIMOS - UMR CNRS 6158
Campus G. Charpak Provence
880 route de Mimet
F-13541 GARDANNE
FRANCE
Tel: +33 (0)4 42 61 66 56
E-mail:absi@emse.fr
URL:http://cmp.mines-stetienne.fr/
https://scholar.google.fr/citations?user=2MERbJgAAAAJ
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
