Auto parts processing storage system simulation modeling and optimization studies

With the supply chain management model continues to evolve, automobile manufacturing industry gradually increased outsourcing. At the same time there are many problems in the industry, most of the logistics enterprises operating such businesses rely on experience and a simple strategy to make decisions, violence Library occur frequently, such as the high cost of logistics enterprises, resulting in the entire supply chain responsiveness and profitability are affected seriously affected. Therefore, how decisions are all kinds of materials, inventory and order quantity, how to adjust the finished goods inventory level of productivity, so that the system within a reasonable operating costs to maintain a high rate of orders for services such business operations of the logistics enterprises urgently need to consider . Scientific and effective decision-making methods will effectively reduce enterprise products and materials inventory, improve service efficiency business orders, and to improve the response speed of the entire supply chain. The problem is a complex optimization problems.

First, the system has both discrete event events have different productivity corresponding continuous production of events between discrete event and continuous and discrete event restrictive relationship between events is quite complex. Secondly, the system needs to be optimized include not only various types of material inventory and order quantity, but also the productivity under different inventory control strategies. Again, the decision variables can be difficult to find a mathematical formula of linear or non-linear relationship. Because of its complexity and discreteness analytically difficult to solve this problem. The simulation optimization through simulation of the system and the corresponding optimization analysis for the optimization of similar systems provide a strong support.

Based on this problem, we made the following tasks:

First, through Haitong Yantai logistics warehouse business processes such as research and analysis, the establishment of this business process context storage conceptual model, in this model a detailed analysis of one of the logistics process and inventory, productivity trends and cost control process, to lay the foundation for subsequent optimization.
 Second, based on the concept of working memory model of the corresponding simulation model. The simulation model in the detailed design and implementation of certain sub-business model, based on the turn of each sub-model organically linked together, enabling simulation of the entire warehouse operations. In the model, this article details the design of the various events and macro processing algorithms control algorithm.
 Thirdly, the simulation model based on the above, the paper system material safety stock, order quantity and productivity control inventory levels as decision variables to the model of logistics costs for the entire decision-making objectives, design the corresponding optimization model and optimize the use of Arena simulation software package to solve the optimization model.

 Through the above research work, this paper discusses a combination of simulation modeling and optimization models to solve the auto parts processing storage system optimization problems new method and apply it to a specific practical example in which the test results show that the method is feasible resistance, which is similar to the decision of logistics enterprises to provide a strong ancillary support.