Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence
Само за регистроване кориснике
2022
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This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RSs) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual-command cycle time assessment of nine different storage and relocation assignment strategy combinations in the simulation model. The results of a simulation study for (i) random, (ii) depth-first and (i...ii) nearest neighbour storage and relocation assignment strategy combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold- and sixfold-deep AVS/RSs outperform systems with fewer depths by utilising depth-first storage and nearest neighbour relocation assignment strategies.
Кључне речи:
Relocation / Rearrangement / Performance analysis / Multiple-deep AVS/RS / Discrete event simulation / Automated warehousesИзвор:
International Journal of Advanced Manufacturing Technology, 2022, 118, 9-10, 3403-3420Издавач:
- Springer London Ltd, London
Финансирање / пројекти:
- Slovenian Research Agency (ARRS) [L5-2626, BI-NO/20-22-012]
DOI: 10.1007/s00170-021-08169-x
ISSN: 0268-3768
WoS: 000707295800001
Scopus: 2-s2.0-85117023706
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Marolt, Jakob AU - Kosanić, Nenad AU - Lerher, Tone PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3762 AB - This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RSs) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual-command cycle time assessment of nine different storage and relocation assignment strategy combinations in the simulation model. The results of a simulation study for (i) random, (ii) depth-first and (iii) nearest neighbour storage and relocation assignment strategy combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold- and sixfold-deep AVS/RSs outperform systems with fewer depths by utilising depth-first storage and nearest neighbour relocation assignment strategies. PB - Springer London Ltd, London T2 - International Journal of Advanced Manufacturing Technology T1 - Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence EP - 3420 IS - 9-10 SP - 3403 VL - 118 DO - 10.1007/s00170-021-08169-x ER -
@article{ author = "Marolt, Jakob and Kosanić, Nenad and Lerher, Tone", year = "2022", abstract = "This paper studies multiple-deep automated vehicle storage and retrieval systems (AVS/RSs) known for their high throughput performance and flexibility. Compared to a single-deep system, multiple-deep AVS/RS has a better space area utilisation. However, a relocation cycle occurs, reducing the throughput performance whenever another stock keeping unit (SKU) blocks a retrieving SKU. The SKU retrieval sequence is undetermined, meaning that the arrangement is unknown, and all SKUs have an equal probability of retrieval. In addition to the shuttle carrier, a satellite vehicle is attached to the shuttle carrier and is used to access storage locations in multiple depths. A discrete event simulation of multiple-deep AVS/RS with a tier captive shuttle carrier was developed. We focused on the dual-command cycle time assessment of nine different storage and relocation assignment strategy combinations in the simulation model. The results of a simulation study for (i) random, (ii) depth-first and (iii) nearest neighbour storage and relocation assignment strategy combinations are examined and benchmarked for five different AVS/RS case study configurations with the same number of storage locations. The results display that the fivefold- and sixfold-deep AVS/RSs outperform systems with fewer depths by utilising depth-first storage and nearest neighbour relocation assignment strategies.", publisher = "Springer London Ltd, London", journal = "International Journal of Advanced Manufacturing Technology", title = "Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence", pages = "3420-3403", number = "9-10", volume = "118", doi = "10.1007/s00170-021-08169-x" }
Marolt, J., Kosanić, N.,& Lerher, T.. (2022). Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence. in International Journal of Advanced Manufacturing Technology Springer London Ltd, London., 118(9-10), 3403-3420. https://doi.org/10.1007/s00170-021-08169-x
Marolt J, Kosanić N, Lerher T. Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence. in International Journal of Advanced Manufacturing Technology. 2022;118(9-10):3403-3420. doi:10.1007/s00170-021-08169-x .
Marolt, Jakob, Kosanić, Nenad, Lerher, Tone, "Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence" in International Journal of Advanced Manufacturing Technology, 118, no. 9-10 (2022):3403-3420, https://doi.org/10.1007/s00170-021-08169-x . .