Scheduling optimization of the RFID tagged explosive storage based on genetic algorithm

Abstract

An on-line optimization method for explosives storage scheduling based on genetic algorithm is proposed to make management of explosives storage process more efficient, informative, secure, and intelligent. The information of explosives warehouse is acquired in real time by RFID technology, and an assignment strategy for the location of explosives in warehouse is proposed. The mathematical model of explosives storage optimization is constructed by analyzing operation characteristics of explosives storage and requirements, and the model is solved using the improved genetic algorithm. The simulation results show that the proposed method can improve the utilization rate of warehouse space, optimize the walking path in the process of the explosive delivery, as well as solve the operating problems under some constraints, such as the expire date of explosives. © 2013 Springer-Verlag.