Study On The Optimization Of The Efficiency Of Automated Storage/Retrieval System

With the rapid development and widespread application of automated storage/retrieval system , it has become an important part of material industries in modern world and is almost used in all trades. Automated storage/retrieval system combines computer and information management and equipment manipulation ,doing the work of storage and take in and out of the system automatically because it uses stacker to store and take goods and surrounding loading to transport equipment .In this way ,it raises efficiency of using the space of the system, save human resources ,reduce cost and increases work efficiency of the system.. But the application of the system is also accompanied by some problems difficult to solve. With thousands of prices of goods , the key to increasing work efficiency storing is how to optimize the places of goods and the course of stacker when it operates ,which is emphatically researched in engineering optimization at present.The general work process of the system is analyzed in this article and two big factors that affect work efficiency of stacker have been discovered ----distribution of shelves and work sequence. An idea of optimizing shelves is put forward , thinking over the two factors together and based on work time .The idea has been testified by experiments to prove that the design of shelves after optimization actually increases work efficiency of the system by comparing the time before and after optimization. Then based on the design of optimized shelves and using the genetic algorithm, the sequential problem which appears when stacker carries out the task is solved and the optimization is testified by imitating reality. Compared with the traditional methods , the genetic algorithm is proved to be able to shorten operating time greatly and meet the need of increasing general efficiency of system.