OP-MR: the implementation of order picking based on mixed reality in a smart warehouse
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This paper presents a mixed-reality (MR) application called order picking with mixed reality (OP-MR) for the order-picking activities in a smart warehouse. OP-MR is a set of applications operated by an administrator through a computer server and by the staff using the HoloLens MR device. OP-MR is built to reduce the operational time of an order-picking activity by providing the shortest route to the staff. The HoloLens device displays the order-picking instructions through the MR window, renders virtual navigation, and virtually marks the positions of items. For determining the shortest distance for an order picking, the proposed OP-MR method combines two different algorithms, namely the Held–Karp algorithm in the server and A* algorithm in the client. The Held–Karp algorithm sorts the items in the pick-up list based on the nearest position. Next, the A* algorithm determines the shortest route to ensure that a user travels the shortest distance to pick all the items. To show the effectiveness of the proposed OP-MR method, OP-MR is implemented and experiments are performed. The experimental results show that OP-MR outperforms paper-based order-picking from the viewpoint of completing all the order picking.
KeywordsOrder picking Mixed reality Route optimization
This work was supported by the Kumoh National Institute of Technology (KIT), Gumi, Republic of Korea (No.2019-104-139).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its subsequent amendments or comparable ethical standards.
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- 1.Bartholdi, J.J., Hackman, S.T.: Warehouse and Distribution Science: Release 0.89. Supply Chain and Logistics Institute, Atlanta (2008)Google Scholar
- 2.Frazelle, E., Frazelle, E.: World-Class Warehousing and Material Handling, vol. 1. McGraw-Hill, New York (2002)Google Scholar
- 5.Schwerdtfeger, B., Klinker, G.: Supporting order picking with augmented reality. In: Proceedings of the 7th IEEE/ACM international Symposium on Mixed and Augmented Reality IEEE Computer Society, pp. 91–94 (2008)Google Scholar
- 9.Cui, S.G., Wang, H., Yang, L.: A simulation study of A-star algorithm for robot path planning. In 16th International Conference on Mechatronics Technology. pp. 506–510 (2012)Google Scholar
- 10.Klein, G.: Visual Tracking for Augmented Reality. Ph.D. thesis, University of Cambridge (2006)Google Scholar
- 11.Ishii, H.: Augmented reality. Fundamentals and nuclear related applications. Int. Electron. J. Nucl. Saf. Simul. 1(4), 316 (2010)Google Scholar
- 12.Funk, M., Shirazi, A.S., Mayer, S., Lischke, L., Schmidt, A.: Pick from here!: an interactive mobile cart using in-situ projection for order picking. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing ACM, pp. 601–609 (2015) Google Scholar
- 13.paaron301. How Inside-out Tracking Works—Enthusiast Guide. https://docs.microsoft.com/en-us/windows/mixed-reality/enthusiast-guide/tracking-system. Accessed 7 May 2018
- 15.Bowman, D., Kruijff, E., LaViola Jr., J.J., Poupyrev, I.P.: 3D User Interfaces: Theory and Practice, CourseSmart eTextbook. Addison-Wesley, Boston (2004)Google Scholar
- 19.Johnson, R., Hoeller, J., Donald, K., Sampaleanu, C., Harrop, R., Risberg, T., Arendsen, A., Davison, D., Kopylenko, D., Pollack, M., et al.: The spring framework-reference documentation. Interface 21, 27 (2004)Google Scholar
- 21.Cui, X., Shi, H.: An overview of pathfinding in navigation mesh. Int. J. Comput. Sci. Netw. Secur. 12(12), 48 (2012)Google Scholar
- 22.Cui, X., Shi, H.: A*-based pathfinding in modern computer games. Int. J. Comput. Sci. Netw. Secur. 11(1), 125 (2011)Google Scholar
- 24.Goyal, A., Mogha, P., Luthra, R., Sangwan, N.: Path finding: A* or dijkstra’s? IJITE 2, 13–14 (2014)Google Scholar