Research on optimization of random storage capacity with analysis of scientific materials in logistics system

Abstract

As a system, the storage capacity and it's space redundancy of warehouse are significant in logistics park. At present, more researches are focused on the how to expand the path capacity to meet the fast incremental of cargo in/out the park. However as one of the most important issue of the key operation, the optimization of storage capacity should be further studied. The problems and methods of solving problems are put forward through the capacity distribution and capacity redundancy based on the system engineering. Assume that the capacity of warehouse is random and obey N (μ, σ 2), we set up the mathematics mode based on the different paths and use of the genetic algorithm to solving the mode. The result of the example indicates that the algorithm and mode are effective to such problems. © 2011 Springer-Verlag Berlin Heidelberg.