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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	Proceedings of the 2022 Winter Simulation Conference, WSC 2022
Editors	B. Feng, G. Pedrielli, Y. Peng, S. Shashaani, E. Song, C.G. Corlu, L.H. Lee, E.P. Chew, T. Roeder, P. Lendermann
Publisher	Institute of Electrical and Electronics Engineers
Pages	1521-1532
Number of pages	12
ISBN (Electronic)	978-1-6654-7661-4
DOIs	https://doi.org/10.1109/WSC57314.2022.10015395
Publication status	Published - 23 Jan 2023
Event	2022 Winter Simulation Conference, WSC 2022: Reimagine Tomorrow - Singapore, Singapore Duration: 11 Dec 2022 → 14 Dec 2022 https://meetings.informs.org/wordpress/wsc2022/

Conference

Conference	2022 Winter Simulation Conference, WSC 2022
Country/Territory	Singapore
City	Singapore
Period	11/12/22 → 14/12/22
Internet address	https://meetings.informs.org/wordpress/wsc2022/

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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 (Eds.), Proceedings of the 2022 Winter Simulation Conference, WSC 2022 (pp. 1521-1532). Article 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. editor / 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. pp. 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",

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doi = "10.1109/WSC57314.2022.10015395",

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

publisher = "Institute of Electrical and Electronics Engineers",

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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 (eds), Proceedings of the 2022 Winter Simulation Conference, WSC 2022., 10015395, Institute of Electrical and Electronics Engineers, pp. 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. ed. / 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. p. 1521-1532 10015395.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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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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, editors, Proceedings of the 2022 Winter Simulation Conference, WSC 2022. Institute of Electrical and Electronics Engineers. 2023. p. 1521-1532. 10015395 doi: 10.1109/WSC57314.2022.10015395

Order Release Strategies for a Collaborative Order Picking System

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