A Research Of MC Supply Chain Coordination Simulation System Based On Ant Colony Algorithm

In practical engineering, the structures usually exhibits strong nonlinearity coupled with randomness of the involved parameters. This makes it almost impossible to exactly predict nonlinear response of the structures, particularly for the concrete structures. To tackle the difficulty, it is necessary to capture the nonlinear performance of the structures in the sense of probability, instead of purely deterministic standpoint. The present thesis is the result of the efforts devoted to developing the probability density evolution method for analysis of nonlinear stochastic structures.Mass Customization (MC) is a new mode of production that organically combines the mass production and the advantages of customization production. Today as the diversity of customer needs and drastic competitions, enterprises are changing from the traditional mass production to MC for the market demands. The coordination of supply chain facing MC is a key factor to ensure the efficient operation of the MC production mode. According to the means of computer simulation, the coordination decision under the condition of MC about supply chain in multi enterprises could be well supported.This paper set up a typical MC supply chain coordination model, which combined the Ant Colony Algorithm (ACA) that has good results in the issues of TSP, workshop scheduling, optimization restriction, And the Multi-Agent System (MAS) that owns a strong ability to settle unstructured questions to get an acceptable optimization coordination solution.Classical ACA has some problems when solving MC supply chain coordination issues. However, the improved ACA could be integrated with it well after improving the setting of its node, the traverse transfer regulation, pheromone updating regulation and setting a function according to the issue itself, to work out an ideal coordination solution.There are two coordination modes in enterprises in supply chain when they aresolving issues using ACA. One is in the condition of complete information sharing in all enterprises; the other is in the condition of incomplete information sharing. Therefore, we need to set relevant MAS separately to operate simulation.This paper constructed MAS containing audit agent, supplier agent and core enterprise agent, using the combination of JADE platform and Jess platform; introduced the construction and operation principles of MAS in detail; described the functions, composing structure, operational principles and implementary methods of all kinds of agent. It is also offered that the way of MAS distributed operation in the network, and the solution of efficiency problem in stand-alone running.There is a simulation to a group of data at last in this paper, giving out the different simulation results under the condition of complete information sharing and incomplete information sharing, and analyzing these different results. At the same time, other results from other simulation methods and calculation methods are compared with these results.