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T. Sobottka, F. Kamhuber, M. Rössler, W. Sihn:
"Hybrid simulation -based optimization of discrete parts manufacturing to increase energy efficiency and productivity";
Procedia Manufacturing, 21 (2018), 413 - 420.

This
presented
research comprises the development of an optimization module for use in a novel production optimization tool
-
similar in function but not mode of operation to an Advanced Planning System
-
, with
energy efficiency
incorporate
d into its
goal system. The optimization
features
a hybrid
-simulation of production systems as an evaluation function.
A hybrid simulation
has
been developed
and presented in preceding publications, in order
to enable a sufficient consideration of interactions between
material flow and the thermal
-physical behavior of the production system.
The size of the search space for the complex
optimizati
on problem necessitates a customized two
-phase
-optimization method, which is based on a
Genetic
Algorithm
, with the
consideration of linear constraints and extended customizations. The results, obtained in a case study
featuring
a food production
facility,
show energy savings of around 20 percent together with significant productivity gains

sustainable manufacturing ; energy efficiency; production planning; optimization; metaheuristics; hybrid simulation; case study

http://dx.doi.org/10.1016/j.promfg.2018.02.139

https://publik.tuwien.ac.at/files/publik_269178.pdf