Multi Objectives And Genetic Algorithm For Optimum Balancing - Adham, Ali;Tahar, Razman Mat
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
I was born in Talafer/Iraq in 1971. I obtained my B.SC from Mosel University\Iraq, faculty Computer Science and Mathematics in 1995. Later I obtained my M.SC from University of Technology\Iraq, faculty Apply Science in 2005. I obtained PhD from University Malaysia Pahang\Malaysia in 2012. My interest of Applied Science and Operation Research