| Nowadays, Concrete is the second widely used materials only inferior to water in the construction industry. The concrete used by the construction project is usually supplied by the Ready-Mixed Concrete factory. Totally using the Ready-mixed concrete is the tendency of the world. However, many facilities are over invested and plenty of relevant resources are wasted as the independent management of the Ready-Mixed concrete factory. Besides, the whole industry commonly distributes the Ready-Mixed concrete by the experience of the dispatcher because it lacks an excellent scheduling model. So, we often found that when some sites were waiting for the Ready-Mixed concrete truck, many Ready-Mixed concrete trucks were queuing for unloading in other sites. It not only influence the quality of the construction project and lower the contractor's profit, but also reduced the productivity of the Ready-Mixed concrete factory, which makes a lose-lose situation. As the entry of the WTO, our country's construction industry and relevant industries must reinforce their power to adapt the cruel international competition. As the relevant industry of the construction industry, the Ready-Mixed concrete industry should be paid more attention. Additional, to follow the tendency of the integration of the other industry's chain, an integrative development is required inevitably bythe Ready-Mixed concrete.Building a scientific scheduling model for the distribution of the Ready-Mixed concrete is one step to quicken the development industry. To solve the problem, this thesis builds a scheduling model of assigning multi-Factories to meet the demands of multi-sites. Then, solve the model with the Genetic Algorithms and the computer simulation technique. Finally, we can get a series of distribution schemes with different target value. These schemes involve following information: which factory supply which site; the departure sequences of the Ready-Mixed concrete trucks; when the Ready-Mixed concrete truck to leave. According the actual situation, the decision maker can choose the suited distribution scheme. The model built in this thesis can improve the profitability of the Ready-Mixed concrete factory and the quality of the construction project; get a win-win situation. |