@inproceedings{b5e3646d65d745e8a45f15da5bd3cf73,
title = "Mobile Robots Charging Assignment Problem with Time Windows in Robotic Mobile Fulfilment System",
abstract = "A customer-driven E-commerce economy leads to a higher expectation on delivery of products. The lead time in the supply chain becomes shorter and shorter and a higher efficiency on picking and packing activities for the warehouse is required. Compared with the traditional warehouse, robotic mobile fulfilment system can increase the efficiency of picking products to fulfil the orders with the characteristics of high volume and high variety consumption pattern. A mobile robot with a mobile storage rack follows the positioning identifier for moving. In the context of E-commerce implementation, data-driven optimization is one of the objectives for the robotic mobile fulfilment system. Data are collected from different sources such as sensor, tracking data and demand traffic. The objective of this paper is to simulate the charging activities for mobile robot under different designed instances. The results of the model show the charging time of different battery capacity of RC time and charged percentage.",
keywords = "Charging Assignment, Mobile Robot, Robotic Mobile Fulfilment System, Warehouse",
author = "Keung, {K. L.} and Lee, {C. K.M.} and P. Ji",
year = "2019",
month = dec,
doi = "10.1109/IEEM44572.2019.8978958",
language = "English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "1329--1333",
booktitle = "2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019",
address = "United States",
note = "2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 ; Conference date: 15-12-2019 Through 18-12-2019",
}