Zoltán Horváth (Széchenyi István University, Győr)
Scheduling
of production lines in automotive factories with the modeling, simulation and
optimization
technology
Scheduling
of production lines with many jobs and machines is one of the most serious task
of an
automotive
factory. Several commercial software products serve decision makers on the
production in
their job
providing them with simulation and some optimization tools. However, even the
state-of-theart
software
tools has serious limitations, in particular those for the optimization. For
supporting the
scheduling
decisions of engine producing segments, Audi Hungaria
Motor Ltd, Gy˝ or and the Széchenyi
István
University formed cooperations to make simulations of
real production lines and their supply
chains
and do research for making optimization methods better.We
remark that these lines are among
the
largest engine production lines of vehicle industry over the world. In this
talk we present our
achievements in simulation, modeling and optimization for the scheduling of large
production lines.
Namely, we
made contributions as follows:
_ validated
models and their simulations using Siemens’ software Plant Simulation for real
production
lines and
their material supply,
_ optimization under Plant Simulation via built in genetic
algorithms,
_ set up of
mathematical models of different levels (i.e. by considering more and more
physical
features
of the lines) and implementing corresponding solvers of the type of black-box
heuristics
and MIP
(mixed integer programming),
_ fast computational optimization of the large scale problems
in the mathematical models (several
heuristics
and MIP solvers) with interface from and to Plant Simulation,
_ applications to real lines of industry.
The main
conclusion was that solvers for some MIP models converge fast for large scale
problems as
well and
give optimum in industrial cases.
This is a
joint lecture with Sándor Kálmán
(Audi Hungária Motors Ltd.).
Date: Nov. 25, Tuesday 4:15pm
Place: BME, Main Building „K”, 1st Floor, Room 50