%0 Journal Article
	%A M. S. Abdelwahed and  M. A. El-Baz and  T. T. El-Midany
	%D 2012
	%J International Journal of Industrial and Manufacturing Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 61, 2012
	%T A Proposed Performance Prediction Approach for Manufacturing Processes using ANNs
	%U https://publications.waset.org/pdf/10233
	%V 61
	%X this paper aims to provide an approach to predict the
performance of the product produced after multi-stages of
manufacturing processes, as well as the assembly. Such approach
aims to control and subsequently identify the relationship between
the process inputs and outputs so that a process engineer can more
accurately predict how the process output shall perform based on the
system inputs. The approach is guided by a six-sigma methodology to
obtain improved performance.
In this paper a case study of the manufacture of a hermetic
reciprocating compressor is presented. The application of artificial
neural networks (ANNs) technique is introduced to improve
performance prediction within this manufacturing environment. The
results demonstrate that the approach predicts accurately and
effectively.
	%P 260 - 265