INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, cilt.15, ss.92-103, 2008 (SCI İndekslerine Giren Dergi)
The problem of assembly sequence generation is complex and has proven to be difficult to solve. Various method have been used in attempting to solve the problem, including mathematical modeling and search techniques. This paper presents an investigation for analyzing assembly sequences of assembly systems with a proposed neural network predictor. The proposed neural network has three layers with recurrent structure. A fast learning algorithm Backpropagation (BP) algorithm is employed for updating the weight parameters of the proposed network.