Archived
This content is available here strictly for research, reference, and/or recordkeeping and as such it may not be fully accessible. If you work or study at University of Kentucky and would like to request an accessible version, please use the SensusAccess Document Converter.
Date Available
12-7-2011
Year of Publication
2008
Document Type
Thesis
College
Engineering
Department/School/Program
Manufacturing Systems Engineering
Faculty
Fazleena Badurdeen
Abstract
Artificial neural networks, so far, have not been used for designing modular cells. Therefore, Self-organizing neural network (SONN) is used in the present research to design minicell-based manufacturing system. Two previously developed methods were studied and implemented using SONN model. Results obtained are compared with previous results to analyze the effectiveness of SONN in designing minicells. A new method is then developed with the objective to design minicells more effectively and efficiently. Results of all three methods are compared using machine-count and materialhandling as performance measuring criteria to find out the best method
Recommended Citation
Goyal, Arvind, "APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNIQUES FOR DESIGN OF MODULAR MINICELL CONFIGURATIONS" (2008). University of Kentucky Master's Theses. 508.
https://uknowledge.uky.edu/gradschool_theses/508
