Abstract
This paper studies a V-type layout design, establishes the area utilization model of a V-type layout based on big data technology, and verifies the validity of the area model. This paper studies the ABC classification and storage strategy of V-type layout and establishes a random model of return-shape picking paths for V-type layout. By calculating the sum of the expected picking distance in the main channel and the expected picking distance of the subchannel, a mathematical model for return-shape picking paths of the V-type layout is established. By using big data mining technology, this paper simulates a random picking path model and obtains simulated data for cases with multiple orders, providing a theoretical basis for research on random picking path models with a classified-storage strategy using an improved layout.
Highlights
Warehousing is a combination of logistics, information flow, and capital flow that acts as a transfer station connecting production, supply, and sales
E warehouse layout is an important factor that determines the operational efficiency of the distribution centre, and it has an important influence on order picking and picking distance
Classification storage strategies are the most widely used in practical production situations. erefore, this paper establishes an area utilization model under an ABC classified-storage strategy with a V-type layout and establishes a return-shape picking path stochastic model for the V-type layout
Summary
Warehousing is a combination of logistics, information flow, and capital flow that acts as a transfer station connecting production, supply, and sales. Erefore, this paper establishes an area utilization model under an ABC classified-storage strategy with a V-type layout and establishes a return-shape picking path stochastic model for the V-type layout. E primary contributions of this article are as follows: (i) summarize the existing literature on warehouse layouts and selection paths; (ii) establish an area utilization model for the V-type layout to verify the model validity; (iii) introduce linear cutting to conduct an ABC partition of the warehouse layout; (iv) establish the return-shape picking path model for the V-type layout; and (v) report the results of data simulations for multiple orders. Complexity e remainder of this article is organized as follows: Section 2 introduces the previous literature on warehouse layouts and picking paths.
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