Order Release Strategies for a Collaborative Order Picking System

Quang-Vinh Dang; Tugce Martagan; Ivo Adan; Jan Kleinlugtenbeld

doi:10.1109/WSC57314.2022.10015395

Order Release Strategies for a Collaborative Order Picking System

Quang-Vinh Dang, Tugce Martagan, Ivo Adan, Jan Kleinlugtenbeld

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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A collaborative order picking system (COPS) enables human-robot collaboration by using order pickers for picking and autonomous mobile robots (AMRs) for transporting load carriers. Owing to the potential performance enhancement compared to a traditional manual order picking system, COPSs are gaining momentum in the retail warehousing sector. This paper proposes order release strategies based on priority and dispatching rules to achieve the best pick rate performance per AMR. A discrete event simulation model is developed to facilitate the evaluation of the proposed strategies. Their effectiveness is demonstrated with the use of real-world data from a case study warehouse. Our computational results show that a COPS using proposed strategies significantly improves the pick rate performance compared to the current practice.

Originele taal-2	Engels
Titel	Proceedings of the 2022 Winter Simulation Conference, WSC 2022
Redacteuren	B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C.G. Corlu, L.H. Lee, E.P. Chew, T. Roeder, P. Lendermann
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	1521-1532
Aantal pagina's	12
ISBN van elektronische versie	978-1-6654-7661-4
DOI's	https://doi.org/10.1109/WSC57314.2022.10015395
Status	Gepubliceerd - 23 jan. 2023
Evenement	2022 Winter Simulation Conference, WSC 2022: Reimagine Tomorrow - Singapore, Singapore Duur: 11 dec. 2022 → 14 dec. 2022 https://meetings.informs.org/wordpress/wsc2022/

Congres

Congres	2022 Winter Simulation Conference, WSC 2022
Land/Regio	Singapore
Stad	Singapore
Periode	11/12/22 → 14/12/22
Internet adres	https://meetings.informs.org/wordpress/wsc2022/

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10.1109/WSC57314.2022.10015395

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Dang, Q.-V., Martagan, T., Adan, I., & Kleinlugtenbeld, J. (2023). Order Release Strategies for a Collaborative Order Picking System. In B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C. G. Corlu, L. H. Lee, E. P. Chew, T. Roeder, & P. Lendermann (editors), Proceedings of the 2022 Winter Simulation Conference, WSC 2022 (blz. 1521-1532). Artikel 10015395 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/WSC57314.2022.10015395

Dang, Quang-Vinh ; Martagan, Tugce ; Adan, Ivo et al. / Order Release Strategies for a Collaborative Order Picking System. Proceedings of the 2022 Winter Simulation Conference, WSC 2022. redacteur / B. Feng ; G. Pedrielli ; Y. Peng ; S. Shashaani ; E. Song ; C.G. Corlu ; L.H. Lee ; E.P. Chew ; T. Roeder ; P. Lendermann. Institute of Electrical and Electronics Engineers, 2023. blz. 1521-1532

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title = "Order Release Strategies for a Collaborative Order Picking System",

abstract = "A collaborative order picking system (COPS) enables human-robot collaboration by using order pickers for picking and autonomous mobile robots (AMRs) for transporting load carriers. Owing to the potential performance enhancement compared to a traditional manual order picking system, COPSs are gaining momentum in the retail warehousing sector. This paper proposes order release strategies based on priority and dispatching rules to achieve the best pick rate performance per AMR. A discrete event simulation model is developed to facilitate the evaluation of the proposed strategies. Their effectiveness is demonstrated with the use of real-world data from a case study warehouse. Our computational results show that a COPS using proposed strategies significantly improves the pick rate performance compared to the current practice.",

author = "Quang-Vinh Dang and Tugce Martagan and Ivo Adan and Jan Kleinlugtenbeld",

year = "2023",

month = jan,

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doi = "10.1109/WSC57314.2022.10015395",

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editor = "B. Feng and G. Pedrielli and Y. Peng and S. Shashaani and E. Song and C.G. Corlu and L.H. Lee and E.P. Chew and T. Roeder and P. Lendermann",

booktitle = "Proceedings of the 2022 Winter Simulation Conference, WSC 2022",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2022 Winter Simulation Conference, WSC 2022 : Reimagine Tomorrow ; Conference date: 11-12-2022 Through 14-12-2022",

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Dang, Q-V , Martagan, T , Adan, I & Kleinlugtenbeld, J 2023, Order Release Strategies for a Collaborative Order Picking System. in B Feng, G Pedrielli, Y Peng, S Shashaani, E Song, CG Corlu, LH Lee, EP Chew, T Roeder & P Lendermann (uitgave), Proceedings of the 2022 Winter Simulation Conference, WSC 2022., 10015395, Institute of Electrical and Electronics Engineers, blz. 1521-1532, 2022 Winter Simulation Conference, WSC 2022, Singapore, Singapore, 11/12/22. https://doi.org/10.1109/WSC57314.2022.10015395

Order Release Strategies for a Collaborative Order Picking System. / Dang, Quang-Vinh ; Martagan, Tugce ; Adan, Ivo et al.
Proceedings of the 2022 Winter Simulation Conference, WSC 2022. uitgave / B. Feng; G. Pedrielli; Y. Peng; S. Shashaani; E. Song; C.G. Corlu; L.H. Lee; E.P. Chew; T. Roeder; P. Lendermann. Institute of Electrical and Electronics Engineers, 2023. blz. 1521-1532 10015395.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - A collaborative order picking system (COPS) enables human-robot collaboration by using order pickers for picking and autonomous mobile robots (AMRs) for transporting load carriers. Owing to the potential performance enhancement compared to a traditional manual order picking system, COPSs are gaining momentum in the retail warehousing sector. This paper proposes order release strategies based on priority and dispatching rules to achieve the best pick rate performance per AMR. A discrete event simulation model is developed to facilitate the evaluation of the proposed strategies. Their effectiveness is demonstrated with the use of real-world data from a case study warehouse. Our computational results show that a COPS using proposed strategies significantly improves the pick rate performance compared to the current practice.

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BT - Proceedings of the 2022 Winter Simulation Conference, WSC 2022

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Dang QV , Martagan T , Adan I, Kleinlugtenbeld J. Order Release Strategies for a Collaborative Order Picking System. In Feng B, Pedrielli G, Peng Y, Shashaani S, Song E, Corlu CG, Lee LH, Chew EP, Roeder T, Lendermann P, redacteurs, Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Institute of Electrical and Electronics Engineers. 2023. blz. 1521-1532. 10015395 doi: 10.1109/WSC57314.2022.10015395

Order Release Strategies for a Collaborative Order Picking System

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