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

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Summary

Introduction

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.

Related Work
V-Type Warehouse Layout Area Utilization Model
Sf 2
V-Type Layout Picking Path Random Model
Simulation Verification
Findings
Conclusion

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