TY  - JOUR
AU  - Kosanić, Nenad
AU  - Marolt, Jakob
AU  - Zrnić, Nenad
AU  - Lerher, Tone
PY  - 2024
UR  - https://www.tandfonline.com/doi/full/10.1080/00207543.2023.2221750
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/7773
AB  - The paper presents an analytical model for travel time evaluation in double-deep, triple-deep, quadruple-deep and fivefold-deep tier-captive shuttle-based storage and retrieval system (SBS/RS). Under the assumption of the deepest location rule for the storage process and the nearest neighbour rule for the retrieval process, the expressions for single-command and dual-command cycle times of the shuttle vehicle and elevator are developed, from which the SBS/RS performance can be estimated. The model based on the probability theory enables the evaluation of all individual times that make up the cycle times and assessment of the average number of totes relocated during a retrieval process. Special attention is devoted to the modelling of the relocation of totes which block access to the requested tote during the retrieval process. The validity of the analytical model is examined via the developed simulation model. The given case study shows that the proposed analytical travel time model results match the results of the simulation model. The presented modelling strategy could be applied to bigger system racking depths following the same modelling logic.
PB  - Taylor and Francis Ltd.
T2  - International Journal of Production Research
T1  - Travel time model for multiple-deep shuttle-based storage and retrieval systems
EP  - 2639
IS  - 7
SP  - 2606
VL  - 62
DO  - 10.1080/00207543.2023.2221750
ER  - 

@article{
author = "Kosanić, Nenad and Marolt, Jakob and Zrnić, Nenad and Lerher, Tone",
year = "2024",
abstract = "The paper presents an analytical model for travel time evaluation in double-deep, triple-deep, quadruple-deep and fivefold-deep tier-captive shuttle-based storage and retrieval system (SBS/RS). Under the assumption of the deepest location rule for the storage process and the nearest neighbour rule for the retrieval process, the expressions for single-command and dual-command cycle times of the shuttle vehicle and elevator are developed, from which the SBS/RS performance can be estimated. The model based on the probability theory enables the evaluation of all individual times that make up the cycle times and assessment of the average number of totes relocated during a retrieval process. Special attention is devoted to the modelling of the relocation of totes which block access to the requested tote during the retrieval process. The validity of the analytical model is examined via the developed simulation model. The given case study shows that the proposed analytical travel time model results match the results of the simulation model. The presented modelling strategy could be applied to bigger system racking depths following the same modelling logic.",
publisher = "Taylor and Francis Ltd.",
journal = "International Journal of Production Research",
title = "Travel time model for multiple-deep shuttle-based storage and retrieval systems",
pages = "2639-2606",
number = "7",
volume = "62",
doi = "10.1080/00207543.2023.2221750"
}

Kosanić, N., Marolt, J., Zrnić, N.,& Lerher, T.. (2024). Travel time model for multiple-deep shuttle-based storage and retrieval systems. in International Journal of Production Research
Taylor and Francis Ltd.., 62(7), 2606-2639.
https://doi.org/10.1080/00207543.2023.2221750

Kosanić N, Marolt J, Zrnić N, Lerher T. Travel time model for multiple-deep shuttle-based storage and retrieval systems. in International Journal of Production Research. 2024;62(7):2606-2639.
doi:10.1080/00207543.2023.2221750 .

Kosanić, Nenad, Marolt, Jakob, Zrnić, Nenad, Lerher, Tone, "Travel time model for multiple-deep shuttle-based storage and retrieval systems" in International Journal of Production Research, 62, no. 7 (2024):2606-2639,
https://doi.org/10.1080/00207543.2023.2221750 . .

TY  - 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 . .