Research On The Shifting And Control Of Production Logistics Bottleneck Considering The Uncertain Condition

With the influence of uncertain condition, capacity uncertainty including Equipment failure, staff efficiency change, material delays and products rework and demand uncertainty including delivery time, the product quantity and types change often lead to the dynamic change of bottleneck of production logistic. In order to control the production logistics bottleneck shifting effectively, the research on the shifting and control of production logistics bottleneck considering the uncertain condition appears especially important. For that reason, aiming at the dynamic change of production logistics problem in the production logistics, the research on production logistics bottleneck shifting mechanism, prediction and control of production logistics bottleneck based on uncertain factors on the effect of production logistics bottleneck shifting is present. The main works are as follows:1. Describing the source, background and research significance of the paper, summarizing the research of the related field, giving the research contents and technical routes.2. Describing the related theory about production logistic, fuzzy neural network, genetic algorithm and simulation.3. The mechanism research of production logistics bottleneck shifting is present based on the uncertain condition. Aiming at the effect of multiple factors considering on the uncertain condition, the mechanism of production logistics bottleneck shifting is put forward based on the analysis of production logistics bottleneck shifting factors. And the production logistics bottleneck shifting factors relation mode is established.4. The prediction research of capacity availability ratio is present based on the uncertain condition. According to the research of bottleneck shifting mechanism considering uncertain conditions, capacity availability ratio changes have caused equipment utilization rate change in order to lead to production logistics bottleneck shifting. In order to discuss the production logistics bottleneck shifting effectively, aiming at the uncertain conditions capacity availability ratio change, the method of capacity availability ratio prediction is given based on the fuzzy neural network technology.5. The prediction research of production logistics bottleneck shifting is present based on the uncertain condition. In order to control the production logistics bottleneck dynamic shifting based on uncertain condition, the prediction mathematical model of logistics bottleneck shifting production is put forward. The effectiveness of the bottleneck shifting prediction method is illustrated based on the multiple equipment failure through the example.6. The control research of production logistics bottleneck shifting is present based on the uncertain condition. In view of the bottleneck shifting to production system influence, the buffer adjustment bottleneck dynamic control method and production heavy scheduling bottleneck dynamic control methods are given after the bottleneck shifting. The results of the numerical simulations show the effectiveness of the proposed methods.7. Summarizing the paper and proposing the ideas for future research.