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In the 1990s , the rapid development of China's auto industry , the auto industry also entered the era of little profit . The car manufacturers trying to reduce production costs from various sources , the logistics industry has become a new growth point and a source of profit for the survival and development of enterprises . The automotive logistics transportation, storage , handling , packaging , product distribution processing , distribution and logistics information management in an integrated , all the logistics industry in the most technical of the most extensive , the complexity of the one of the highest areas . Warehousing system is the basis for the design of the entire logistics system , cargo longest stay , generate cost up place . Warehousing planning is reasonable direct impact on the efficiency and cost of the entire operation of the logistics system . With the development of automation technology , automated warehouse storage in rapid development , and is widely used in various industries . Papers for the study of an automobile manufacturing company in Nanjing , its warehouse system re- planning , and improve the level of automation of enterprise storage systems . The paper first describes the theoretical basis of the structure, characteristics , design principles and design steps of the automated warehouse , then to an automobile manufacturing enterprises in Nanjing for example, re - divide the storage area , shelf design and equipment selection . Second , the optimization of the allocation of cargo space . Mathematical modeling based on the principle of material stored , then use of the idea of variable neighborhood search algorithm using Matlab cargo space allocation optimization , so that the material to enter the warehouse , according to the characteristics of the materials and production needs to be the ideal goods bit. Finally , the operation of the warehousing system simulation . Data by the statistical system , using AutoMod build simulation models , the observation system running smoothly , by AutoStat analysis of simulation results , and make the appropriate adjustments to make planning more rational and effective warehousing system .
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