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Automated and robotic warehouses: developments and research opportunities

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The first automated, high-bay, warehouses were introduced some 50 years ago. Since then, developments have continued at a rapid pace. Initially, automation was mainly focused on pallet warehouses with bulk storage facilities. A major reason was to increase the storage density, which could be achieved by making the warehouses higher. Later, mini-load warehouses and order picking warehouses were also automated. In this paper we will discuss the different types of automated systems as well as a number of scientific results that are now known about such systems. We will first discuss storage systems for unit loads (bins and pallets). This will be followed by order picking systems from which individual packages can be picked. Finally, we will provide our future expectations of warehouse automation.
Słowa kluczowe
Rocznik
Strony
33--40
Opis fizyczny
Bibliogr. 27 poz., rys.
Twórcy
  • Erasmus University Rotterdam, Netherlands
Bibliografia
  • [1] Azadeh, K., D. Roy, and R. De Koster (2018). Vertical or horizontal transport? - comparison of robotic storage and retrieval systems. ERIM Report Series.
  • [2] Azadeh, K., R. de Koster, and D. Roy (2017), Robotized Warehouse Systems: Developments and Research Opportunities. Available at SSRN: https://ssrn.com/abstract=2977779 or http://dx.doi. org/10.2139/ssrn.2977779
  • [3] Boysen, N., D. Briskorn, S. Emde (2017), Partsto-picker based order processing in a rack-moving mobile robots environment, European Journal of Operational Research 262 (2), 550-562
  • [4] Bozer, A.Y., A.J. White (1984), Travel-time models for automated storage and retrieval systems. IIE Transactions 16(4) 329–338.
  • [5] De Koster, M.B.M., D. Stam, B.M. Balk (2011), Accidents will happen. Journal of Operations Management 29, 753-765.
  • [6] De Vries, J. R. de Koster, D. Stam (2016), Aligning order picking methods, incentive systems, and regulatory focus to increase performance, Production and Operations Management 25(8), 1363-1376.
  • [7] Füßler, D. and N. Boysen (2017). High-performance order processing in picking workstations. EURO Journal on Transportation and Logistics, 1–26.
  • [8] Gue, K. R. (2006). Very high density storage systems. IIE Transactions 38 (1), 79–90.
  • [9] Gue, K. R., K. Furmans, Z. Seibold, and O. Uludag (2014). Gridstore: a puzzle-based storage system with decentralized control, IEEE Transactions on Automation Science and Engineering 11 (2),429– 438.
  • [10] Gue, K. R. and B. S. Kim (2007). Puzzle-based storage systems. Naval Research Logistics 54 (5), 556–567.
  • [11] Hausman, W.H., L.B. Schwarz, S.C. Graves (1976), Optimal storage assignment in automatic warehousing systems. Management Science 22(6), 629-638.
  • [12] Lamballais, T., D. Roy, and R. De Koster (2017a). Estimating performance in a robotic mobile fulfillment system. European Journal of Operational Research 256 (3), 976–990.
  • [13] Lamballais, T., D. Roy, and R. De Koster (2017b). Inventory allocation in robotic mobile fulfilment systems. ERIM Report Series.
  • [14] Malmborg, C. J. (2002). Conceptualizing tools for autonomous vehicle storage and retrieval systems. International Journal of Production Research 40 (8), 1807–1822.
  • [15] Roodbergen, K.J., I.F.A. Vis (2009), A survey of literature on automated storage and retrieval systems.European Journal of Operational Research 194(2), 343-362.
  • [16] Roy, D. (2011), Design and analysis of unit-load warehouse operations using autonomous vehicles, PhD thesis, University of Wisconsin.
  • [17] Shentong (2018), Robot sorting system, https://www.youtube.com/watch?v=_QndP_PCRSw
  • [18] Tappia, E., D. Roy, D., R. De Koster, R., M. Melacini (2017), Modeling, Analysis, and Design Insights for Compact Storage Systems with Autonomous Shuttles, Transportation Science 51 (1), 269 – 295.
  • [19] Tappia, E., D. Roy, M. Melacini, R. De Koster (2018), Integrated Storage-order Picking Systems Technology, Performance, Models, and Design Insights, Working paper
  • [20] Tompkins, J., J. White, Y. Bozer, J. Tanchoco (2010), Facilities Planning, Wiley
  • [21] Van der Gaast, J., R. de Koster, I.J.B.F. Adan, J.A.C. Resing (2013). Modeling and analysis of sequential zone picking systems, Working paper, Erasmus University.
  • [22] Yu, Y., R. de Koster, X. Guo (2015), Class-based storage with a finite number of items: more is not always better, Production and Operations Management 24(8),1235-1247.
  • [23] Zaerpour, N., Y. Yu, and R. De Koster (2017a). Optimal two-class-based storage in a live-cube compact storage system. IISE Transactions 49(7), 653-668.
  • [24] Zaerpour, N., Y. Yu, and R. De Koster (2017b). Response time analysis of a live-cube compact storage system with two storage classes, IISE Transactions 49(5), 461-480.
  • [25] Zaerpour, N., Y. Yu, and R. De Koster (2017c). Small is beautiful: A framework for evaluating and optimizing live-cube compact storage systems. Transportation Science 51 (1), 34–51.
  • [26] Zou, B., X. Xu, Y. Gong, and R. De Koster (2018a). Evaluating battery charging and swapping strategies in a robotic mobile fulfilment system. European Journal of Operational Research 267(2), 733-753.
  • [27] Zou, B., R. De Koster, and X. Xu (2018b). Operating policies in robotic compact storage and retrieval systems. Transportation Science, to appear.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-14d87b96-a06b-4a14-833a-8944d54449f9
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