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Large-Scale Storage/Retrieval Requests Sorting Algorithm for Multi-I/O Depots Automated Storage/Retrieval Systems

Author

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  • Yu Bo Song
  • Hai Bo Mu
  • Luca Pancioni

Abstract

This paper addresses the sequence sorting problem of large-scale storage/retrieval (S/R) requests in multiple Input/Output (multi-I/O) depots automated storage/retrieval systems (AS/RS), in which the cargoes can enter/leave the system through multi-I/O depots, the stacker can load only one cargo, and the load travel time of stacker is fixed. The problem is to find an optimal sequence for a certain S/R requests sequence, and it is a special kind of traveling salesman problem. In this paper, a heuristic algorithm based on assignment is proposed. In order to eliminate the subloops emerged in the sorting process, the equivalent merging and minimum cost merging methods of subloops are considered, and the proposed algorithm is modified. Experimental results indicate the effectiveness of the proposed algorithm.

Suggested Citation

  • Yu Bo Song & Hai Bo Mu & Luca Pancioni, 2021. "Large-Scale Storage/Retrieval Requests Sorting Algorithm for Multi-I/O Depots Automated Storage/Retrieval Systems," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-16, May.
    • Handle: RePEc:hin:jnddns:6646180
    DOI: 10.1155/2021/6646180
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