@article{(Open Science Index):https://publications.waset.org/pdf/10003067,
	  title     = {Multi-Objective Optimization of an Aerodynamic Feeding System Using Genetic Algorithm},
	  author    = {Jan Busch and  Peter Nyhuis},
	  country	= {},
	  institution	= {},
	  abstract     = {Considering the challenges of short product life cycles
and growing variant diversity, cost minimization and manufacturing
flexibility increasingly gain importance to maintain a competitive
edge in today’s global and dynamic markets. In this context, an
aerodynamic part feeding system for high-speed industrial assembly
applications has been developed at the Institute of Production
Systems and Logistics (IFA), Leibniz Universitaet Hannover. The
aerodynamic part feeding system outperforms conventional systems
with respect to its process safety, reliability, and operating speed. In
this paper, a multi-objective optimisation of the aerodynamic feeding
system regarding the orientation rate, the feeding velocity, and the
required nozzle pressure is presented.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {9},
	  number    = {12},
	  year      = {2015},
	  pages     = {2092 - 2099},
	  ee        = {https://publications.waset.org/pdf/10003067},
	  url   	= {https://publications.waset.org/vol/108},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 108, 2015},
	}