The Simulation And Optimization Of Resource Allocation In Automation Workshops

The system performance of a manufacturing system queuing network might be affected by number of service station, regularity of workpiece arrival, rule of task queue and service rate for each service station. This article is basing on above factors, using the software simulation method and FPGA simulation method to study the queuing network models.This article designs a graphical queuing network modeling method, automatically infers formulas and dynamically calculates according to different queuing models. In the part of software simulation, we design two kinds of method:single thread simulation implementation and multi-thread simulation implementation. When we implement the single thread simulation method, we regard the system as a whole, schedule all the events and take different process for different events. And in the implementation of multi-thread simulation method, we regard each service node as a separate module, use multi-threading and thread synchronization techniques, simulate and calculate the system performance. When we implement the FPGA simulation method, we use the parallel processing features of FPGA, regard various service nodes as a micro-nuclear to take a stand-alone simulation until the end of program.Through the research on manufacturing system automation production workshop queuing network modeling, this article provides a method to effectively optimize resources and improve productivity. Using simulation methods, we can calculate the performance index under the condition of different system configurations. Then we can use the performance index as a basis to optimize the resource allocation. It will play a good guidance role in manufacturing automation production workshop.