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

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Listed:
  • Li Zhou
  • Xiani Fan
  • Jinlong Wang
  • Senhao Wang
  • Ning Cao
  • Mei Wu

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.

Suggested Citation

  • Li Zhou & Xiani Fan & Jinlong Wang & Senhao Wang & Ning Cao & Mei Wu, 2020. "A Random Classified-Storage Picking Path Model for V-Type Storage Layout," Complexity, Hindawi, vol. 2020, pages 1-12, February.
    • Handle: RePEc:hin:complx:8784910
    DOI: 10.1155/2020/8784910
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