Abstract
Networked manufacturing environment, making the task decomposition and exist out of line manufacturing cell optimization problem, propose a pre-matching rules and genetic algorithm combined with the resources optimal deployment method. In the process the task decomposition process layer by layer from the pre-match rules for task decomposition process and manufacturing units to form the pre-matching set of manufacturing unit, and when complete the task decomposition process generates the appropriate set of pre-matching manufacturing unit and then use genetic algorithm solution to processing costs, transportation costs, processing time and transportation time to build a multi-objective optimization model; to simplify the calculation, the multi-objective problem by the weight method into a single objective problem; calculated from the manufacturing unit eventually chooses the optimal set of manufacturing cells combination, making the process task global optimum processing route. Finally, exemplify the feasibility of the method.
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