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The transport system with storage bin is widely used in mines, power plants, port terminals; material yards; grain depot, and etc. Theoretically storage bin have many virtues, such as reducing the interacting of links ahead and behind bin, buffering different transporting flows, adjusting and processing materials. In practical application, bin capacity size has great influence on reliability and production efficiency of whole transport system. So studying Control Optimization Methodologies of storage bin capacity to fully realize its beneficial functions are very significance. By utilizing some existing outcomes, this paper presents new Control Optimization Methodologies for storage bin capacity in transport system. Compared with some existed references, this presented Control Optimization Methodologies fully considers different influences of storage bin capacity on reliability and production efficiency of whole transport system and realizes cost and benefit overall optimization design. All kind of factors affecting designed storage bin capacity can be easily gotten by the presented method. So presented Control Optimization Methodologies can offer the reference for capacity optimization design of storage bin in transport system.