Optimal control of storage system based on intelligent techniques

In order to obtain high productivity industrial automatic storage systems should complete the storage tasks in minimum of time with the maximum of performance. Optimization is the key point of this problem. This paper proposes a method for intelligent storage system, which optimizes the storing process by deciding the optimum slot that an object will occupy in a warehouse. Depending on the weight, each object has to be stored in a different space. The method is based on genetic algorithm. Genetic algorithms are used in order to optimise the allocation of storage slots at the shortest time. The duration of storage is monitored and used as feedback to the system so as to optimize the algorithm. The system is integrated with PLC and custom SCADA system which gathered the necessary information from the PLC via an OPC server. Any delay of the system is taken into account using feedback of the completion time, so that the operation error is introduced in the application, which is trained to improve its operation in the next loop. The proposed framework improves the placement of objects in specific warehouse slots.