Multi Objectives And Genetic Algorithm For Optimum Balancing

In this book a new technique is introduced by integrating two different models which are Multi Objectives Model and Genetic Algorithm to solve an unbalancing problem of assembly line. The assembly line of automobiles consists of different shops with many stations that perform different tasks. The cycle times of these tasks are not equal in each station and shop which will create an unbalance. The assembly line balancing problem is one of the focuses of research in automobile manufacturing. The model developed as demonstrated in this book is capable to produce an optimum solution to the unbalancing problem at the assembly lines. The manager can assess different assembly system design by employing this model.

Autorentext

I am Dr. Ali Adham, born in Talafer/IRAQ in 1971. In 1995, the B.SC was obtained from Musol University/Iraq. In 2005, the M. SC was obtained from University of Technology/Iraq. The PhD obtained from UMP/Malaysia in 2012.Interested in the area of Operation Research, Mathematics, Artificial Intelligence, optimization methods, and Simulation Model.