关键词: 工艺规划, 生产计划与控制, 神经网络, 资源决策

Abstract: In order to realize reasonable job shop production scheduling and process planning, the concurrent integration principle of Computer Aided Process Planning (CAPP) and Production Planning and Control (PPC) was described based on Nonlinear Process Planning. The problem of resource selection in the process of integration between CAPP and PPC was analyzed. Firstly, the needed operating-capability of machine tools was verified. Then, the amount of machine tools to meet the needs of required capability was confirmed according to the feedback of workshop planning systems. Finally, the priority-index of each available machine tool was computed based on the machine tools real-time status. BP Neural Network and its relevant algorithm were applied to this process of resource selection. And the results show that the resource decision in the process of integration is implemented effectively by use of BP Neural Network and its relevant algorithm.

Key words: process planning, production planning and control, neural network, resource decision