Resource Decision in Integration of CAPP and Production Planning and Control

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 tool's 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.