| dc.description.abstract | Nowadays, the rapid development of information technology and popularization of mobile networks has led to the prevalence of e-commerce, the market demand has gradually changed to ＂small and diverse＂, the change in market demand has also increase the difficulty of logistics centre operations, it’s even more obvious for picking operations. According to the research of De Koster et al. (2007), most logistics centres are still labor-intensive industries, picking operations are not only cost-intensive but also a labor-intensive activity, picking operation-related manpower accounted for more than 50% in the logistics centres. In order to cope with the advent of the era of ＂small and diverse＂ demand, introduction of automation equipment timely and planning a suitable picking strategy will have a decisive impact on the cost, production capacity and efficiency of the logistics centres.
Since the Locusbots system can arbitrarily increase or decrease the number of Locusbots, so can effectively solve the problem of weak and peak seasons. Locusbots can use dynamic path planning which can update environment information to avoid obstacles effectively and plan the picking path smoother. In the Locusbots system, the pickers don’t need to walk around in the logistics centre, pickers only need to stay in the picking zone, and the Locusbots will carry the order and the picking boxes to the picking zone. In this way not only reduce labor costs but also improve the efficiency and accuracy of picking operations.
Base on the above reasons, the research will mainly discusses the Locusbots system with ＂selecting AGV in the picking zone problem＂ and ＂dispatching problem＂. Finally, use the results of Arena simulation software experiments, analyze the performance of the several rules proposed in this research under different performance indicators, hoping to find the most suitable combination of picking strategies and make a relative contribution to similar research will be made in the future. | en_US |