Study on the estimation of blocking rate in wide-aisle picking system

A Random Classified-Storage Picking Path Model for V-Type Storage Layout

“…Compared with the traditional two-group layout, the new design saves 7% of the order-picking trip and provides a method to reduce the transportation distance for the picking operation; Weidinger and others [32] found that for e-commerce retail retrieval of a set of chosen items, shelf access scheduling was an important optimization problem: they defined mixed warehouse shelves when choosing the resulting path problem-mixed shelf storage benchmarking with traditional storage strategy-which could adapt to the proportion of small and large orders under different scenarios. Zhou et al [33] found that several densities and surfaces are more influential when blocking time than are picking speed and walking speed when items are picked individually. ey constructed a discrete time Markov state transition probability matrix, studied the steady state of the matrix, and analysed the blocking time ratio under the chosen density.…”

Study on a storage location strategy based on clustering and association algorithms

“…Faced with rapidly growing business needs, improving storage efficiency at low cost and reducing customer response times have become key issues for improving the operational efficiency of warehouse systems. While guaranteeing quality of service, enterprises must reduce equipment investment and control operational costs to realize expected benefits (Zhou et al 2018). However, due to rising land prices, increasing rents and rapid industrial development, storage areas that were originally sufficient will gradually become insufficient, requiring either the expansion of one or more existing storage sites or the construction of another.…”