Facility Configuration Optimization For Flexible Flow Shop On Queuing Network Model

The order-driven equipment manufacturing systems is a system for orders. Because of the ways of order driven, the systems in the production process is complexing and full of random factors, so cause the production not stable, capacity unreasonable, delivery date rampant tardiness and so on. Facility is not only the core of manufacturing, but also completion of the functional unit of the manufacturing processing. The configuration of the facility is very important.This paper describes flexible flow shop of the order-driven equipment manufacturing enterprise. Under the condition of constraint satisfaction of both average throughput and lead-time of products, the optimal resource allocation scheme is solved by minimizing the total amount of investment. The queuing network model is designed in this paper, but the constrain function can’t be described by closed form, the problem is difficult to be solved. So this paper apply expansion and simulation method and eM-Plant simulation statistics method to get the system average throughput rate and the jobs average lead-time.Main content of this article was as follows:Firstly, describe and model for facility configuration question.Extract date model of order distribution, process, working hour distribution and facility number from the FFS. Then make up a series of M/M/C/K queueing model and integer model.Secondly, approximate method was used to the performance indicators。Because of the constrain function (average throughput rate and the jobs average lead-time) can’t be described by closed form, the paper introduce expansion method in detail, and developed a program in the MATLAB to get the performance indicators, and a numerical example is compared in order to prove its effectiveness. Afterward, the paper used the simulation software of Tecnomatix Plant Simulation8.2to construct a simulation model, and a numerical example is compared in order to prove its effectiveness.Thirdly, solve the problems of the equipment configuration. We have established two kinds of heuristic rules based on reducing the blocking rate and minimizing the total amount of investment. In view of a numerical example which is given, we designed a example by expansion method and simulation statistical method to optimize facility configuration, By contrast, analysis of the characteristics of the four groups of data.Finally, design and develop the systems of facility configuration optimization.In short, this paper used the queuing network theory, built a flexible flow shop facility configuration model and optimized the model in a random enviorment, and presented the corresponding algorithm. Designing and developing the supporting software tools to provide an effective method for the facility configuration.