@INPROCEEDINGS{Kuester2011Evolutionary,
  author = {Tobias K{"u}ster and Marco L{"u}tzenberger and Daniel Freund},
  title = {An Evolutionary Optimisation for Electric Price Responsive Manufacturing},
  booktitle = {Proceedings of the 9textsuperscript{th} Industrial Simulation Conference,
	Venice, Italy},
  year = {2011},
  editor = {Simonetta Balsamo and Andrea Marin},
  pages = {97--104},
  month = {June},
  organization = {Eurosis},
  publisher = {EUROSIS-ITI},
  abstract = {With an increased amount of energy provision through volatile energy
	sources such as wind turbines, time dependent pricing of electricity
	will gain importance and have an impact on overall energy costs,
	especially for large consumers such as manufacutring plants. Therefore,
	in future electricity markets, price-based scheduling of manufacturing
	activities can be used to maintain or increase cost efficiency of
	manufacturing processes. Software applications taking into account
	process models and short-time price projections, can serve to compare
	alternative production plans and identify efficient configurations
	with respect to all relevant interdependencies. In this paper, we
	present an approach how to find the most cost-efficient production
	schedule using an optimisation based on a highly flexible process
	metamodel.}
}