to manage complex production lines
*Laboratory:* Mines Saint-Etienne - Département Sciences de la
Fabrication & Logistique
<https://www.mines-stetienne.fr/en/research/scientific-departments/manufacturing-sciences-logistics-department-sfl/>,
UMR CNRS LIMOS 6158, Campus Georges Charpak Provence, Gardanne
(Bouches-du-Rhône), France.
*Company:*STMicroelectronics, Crolles (Isère), France.
*Duration and starting date: *The position is for three years starting
as soon as possible (in 2023). The position will remain open *until
fulfilled*.
*Funding :*ANRT – CIFRE thesis.
*Supervision*
*Nabil Absi - Professor - Mines Saint-Etienne* (absi@emse.fr)**
*Stéphane Dauzère-Pérès - Professor - Mines Saint-Etienne
*(dauzere-peres@emse.fr)
*Quentin Christ*(quentin.christ@st.com <mailto:quentin.christ@st.com>) -
*STMicroelectronics*
*Keywords:*Combinatorial optimization, production planning,
decomposition approaches, semiconductor manufacturing.
*Objectives of the PhD thesis :*
In semiconductor manufacturing, operational production planning is the
bridge between tactical production planning, which defines the delivery
and production start plans, and local scheduling decisions. Operational
production planning considers the detailed characteristics of the
manufacturing facility (product routes, machines, operation eligibility,
etc.) to define production targets to manage control flows. This
function is currently provided by a homemade tool, whose heuristic
approach is running out of steam. A recent PhD thesis with Mines
Saint-Etienne proposed a novel optimization approach, and recent studies
have shown the possibility of extending this approach to industrial data
from the Crolles300 manufacturing facility. The objective of the thesis
is to build on this work to propose a new production planning approach
to provide production plans that consider the constraints and optimize
various indicators such as the linearity of the fab, the control of the
cycle times, the respect of the delivery dates, the use of the machines,
the satisfaction of time constraints, etc.
*Candidate profile:*
Applicants must have a Master Degree (or equivalent) in Operations
Research, Applied Mathematics, Computer Sciences or any related
discipline. Applicants should demonstrate good programming skills and a
deep knowledge in combinatorial optimization and integer programming.
*Application procedure: *
Please send your application electronically (preferably as a single pdf
file) including a detailed curriculum vitae and examination results,
plus, if available, a list of reference letters and copies of diploma,
to: Nabil ABSI (absi@emse.fr). The position will remain open until
fulfilled.
For further questions regarding the position please contact *Nabil
Absi*, *Quentin Christ *or*Stéphane Dauzère-Pérès.*
--
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
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