approaches to manage complex production lines*
*Laboratory:* Ecole des Mines de Saint-Etienne - 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. The position will remain open *until fulfilled*.
*Funding :*ANRT – CIFRE thesis.
*Supervision*
*Nabil Absi - Professor - Ecole des Mines de Saint-Etienne* (absi@emse.fr)**
*Stéphane Dauzère-Pérès - Professor - Ecole des Mines de Saint-Etienne
*(dauzere-peres@emse.fr)
*Quentin Christ*– *STMicroelectronics *(Quentin.christ@st.com
<mailto:Quentin.christ@st.com>)**
*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. Recent PhD theses conducted with
STMicroelectronics and the Ecole des Mines de Saint-Etienne proposed
novel modeling and solution approaches based on column generation, and
recent studies have shown the possibility of extending this approaches
to industrial data from the STMicroelectronics Crolles 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 main constraints and optimize different key indicators
such as the linearity of the fab, the control of cycle times, the
satisfaction of delivery dates and time constraints, the use of
machines, 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), Stéphane Dauzère-Pérès
(dauzere-peres@emse.fr <mailto:dauzere-peres@emse.fr>) and Quentin
Christ (Quentin.christ@st.com <mailto:Quentin.christ@st.com>). The
position will remain open until fulfilled.
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
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