CAN THE MOBILE ROBOT BE A FUTURE ORDER-PICKING SOLUTION?: A CASE STUDY AT AMAZON FULFILLMENT CENTER

Adrian Yudiansyah, Dwi Ayu S, Yulianti Keke, Veronica Veronica

Abstract


In logistic operations, picking is the process of finding products to meet different orders. Therefore, improving automation and work performance is a focus on logistic operation. The purpose of this study is to describe a system that can improve efficiency at the Distribution Center by using Kiva Robots. That is a system that can help humans reduce walk time and labor costs which must occur, and identify the concepts of applying multi-robots at the Amazon Fulfillment Center. Kiva Robots are here to answer the problem of order picking at the Amazon Fulfillment Center.


Keywords


Kiva robot, Fulfillment center, Amazon, Robot Mobile, Picking System

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References


Batth, R. &. (2018). Internet of Robotic Things: Driving Intelligent Robotics of Future - Concept, Architecture, Applications and Technologies. P, 151-160.

Bouge, R. (2016). Growth in e-commerce boosts innovation in the warehouse robot market. An International Journal., 43, 583-587.

C. Razafimandimby, V. L. (2016). A neural network and IoT based scheme for performance assessment in Internet of Robotic Things. 241-246.

Dou Xin-Xin, W. X.-p.-W.-H. (brak daty). "Based on the background of smart logistics Kiva warehouse robot Application analysis and prospect. Vol. 5(3), 1-4.

Dr. Dhiraj Jain, M. S. (2017). Adoption of next-generation robotics: A case study on Amazon. Vol. 3.

Fuxing Yang, X. W. (2019). "A Building-Block-Based Genetic Algorithm for Solving the Robots Allocation Problem in a Robotic Mobile Fulfilment System. 15 pages.

Guizzo, E. (2008). Kiva Systems: Three Engineers, Hundreds of Robots, One Warehouse.

Hanson, R. &. (2018). Performance Characteristics of Robotic Mobile Fulfilment Systems in Order Picking Applications. IFAC-PapersOnLine, 51, 1493-1498.

Ilya Afanasyev, e. a. (2019). Towards the Internet of Robotic Things: Analysis, Architecture, Components and Challenges.

Jun-tao Li, H.-J. L. (2016). Design Optimization of Amazon Robotics. Vol. 4, 48-52.

L. Barreto, A. A. (2017). Industry 4.0 implications in logistics: an overview. Vol. 13, 1245-1252.

M. Merschformanna, T. L. (2019). Decision rules for robotic mobile fulfillment systems. Vol. 6, 100-128.

Matthews, K. (2019). The Internet of Robotic Things: How IoT and Robotics Tech Are Evolving Together.

Nussbaum, R. (2015). Changing the tooth-to-tail ratio using robotics and automation to beat sequestration. Technical report, DTIC Document.

P. P. Ray, . o. (brak daty).

Peter R. Wurman, R. D. (2008). Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses. AAAI, 29.

Ray, P. P. (2017). Internet of Robotic Things: Concept, Technologies, and Challenges" . Vol. 4.

Xiaoqing (Maggie) Fua, Q. B. (2020). "Diffusion of industrial robotics and inclusive growth: Labour market evidence from cross country data .

Yan Liu, W. Z. (2020, January 15). Analyzing the robotic behaviour in a smart city with deep enforcement and imitation learning using IoRT. 150, P, 346-356.

Zhang, X. M. (2015). The order picking optimization and algorithm research based on Kiva system, Master Thesis, Beijing: Beijing University of Posts and Telecommunications,.

Batth, R. &. N (2018). Internet of Robotic Things: Driving Intelligent Robotics of Future - Concept, Architecture, Applications and Technologies. P, 151-160.

Yan Liu, W. Z. (2020, January 15). Analyzing the robotic behaviour in a smart city with deep enforcement and imitation learning using IoRT. 150, P, 346-356.

Peter R. Wurman, R. D. (2008). Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses. AAAI, 29.

Guizzo, E. (2008). Kiva Systems: Three Engineers, Hundreds of Robots, One Warehouse.




DOI: https://doi.org/10.25292/atlr.v3i0.339

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Advances in Transportation and Logistics Research

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