Transactions of Nanjing University of Aeronautics & Astronautics
Energy-Efficient Process Planning Using ImprovedGenetic Algorithm
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Abstract:
Nowadays, energy consumption which closely contacts with environmental impacts of manufacturing processes has been highly commented as a new productivity criterion. However, little attention has paid to the development of process planning methods that take energy consumption into account. An energy-efficient process planning model that incorporates manufacturing time and energy consumption is proposed. For solving the problem, an improved genetic algorithm method is employed to explore the optimal solution. Finally, a case study for process planning is given. The experimental result generates interesting effort, and therefore allows improving the energy efficiency of manufacturing processes in process planning.
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