In this study, in the assembly line systems consisting of operations interaction with each other; To reduce number faulty products, to prevent poor quality and production time, Error Ratio Estimation Artificial Neural Networks probabilistic Line Balancing method have been performed. The error rate estimation provides information on which jeans models should be applied improvement work eliminate...

Abstract The aim of this work is to enable a step towards self-adapting digital toolset for manufacturing planning focusing on minimally constrained assembly line balancing. approach includes the simultaneous definition optimum number workstations, cycle time and assignment tasks workstations. A bespoke genetic algorithm (GENALSAS) proposed demonstrated which focuses examining simple balancing ...