Title :
Manufacturing process management with aggregated process models
Author :
Sadeghi, Mohammadreza ; Siadat, A. ; Dantan, J.-Y. ; Bigot, R.
Author_Institution :
Lab. de Conception, Fabrication et Commande (LCFC), Arts et Metiers ParisTech, Metz, France
Abstract :
Manufacturing process modeling is the main subject of manufacturing environment design and computerized manufacturing support systems and consequently it takes a vast resources in order to properly obtain an optimized process modeling by experts in charge. In process modeling which regarding to its major impact considering it´s interaction with every manufacturing element seems to be quite an issues. In this context, this research is willing to establish a methodology to provide a series of techniques and approaches to simplify the representation of manufacturing models in which the manufacturing processes are combined into aggregate models, exploiting their common repetitive operations. The aim of the early process selection from aggregated process models, combined with product-process compatibility analysis is to determine the various parameters and to integrate the diverse constraints imposed by different experts. In manufacturing systems, this analysis is first and foremost based on the experimental knowledge of the experts. The research results presented here contributes also to knowledge-based integrated manufacturing support by correlating the interrelationships between knowledge extracted from product development process, which can be used to address requirements throughout the design cycle.
Keywords :
manufacturing processes; product design; aggregated process models; computerized manufacturing support systems; manufacturing environment design; manufacturing process management; Manufacturing processes; Manufacturing process model; Product-Process integration; engineering constraints;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373400