Research on congestion rate of classified storage narrow channel picking system for IoT security
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Research on congestion rate of classified storage narrow channel picking system for IoT security Li Zhou1 • Xiaxia Niu1 • Shengli Zhao1 • Xiaoqing Zhao1 • Ning Cao2 • Jianrui Ding3 • Ruichao Wang4
Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The smart mobile Internet of Things (IoT) is a novel paradigm that is rapidly gaining ground in the field of modern wireless telecommunications. Picking operations are the key link in an entire warehousing operation, and congestion problems significantly contribute to managers’ decisions regarding the warehousing layout, the storage strategy, and the number of pickers. In this paper, the discrete Markov method is used to study the problem of picking congestion in a narrow-aisle double picking system with a traditional layout, an S-type picking path and a classified storage strategy. First, congestion models are constructed when the picker picks one item with a picking speed that is equal to the walking speed and when the picker picks multiple items on one picking surface under a picking speed that is very different from the walking speed. A sensitivity analysis involving parameter changes was carried out. Second, the paper compares and analyzes situations in which the picking speed is equal to the walking speed and in which there is a large difference between the picking speed and the walking speed and determines the impact of the picking speed, the number of goods picked on a picking surface, the differentiated classified storage strategy, and the number of picking surfaces on the picking congestion rate. The effectiveness of the mathematical model was verified by a MATLAB simulation, and the exploration and discovery for subsequent research were performed. Keywords Security IoT Picking congestion Classification storage Markov chain
& Ning Cao [email protected] Li Zhou [email protected] Xiaxia Niu [email protected] Shengli Zhao [email protected] Xiaoqing Zhao [email protected] Jianrui Ding [email protected] Ruichao Wang [email protected] 1
School of Information, Beijing Wuzi University, Beijing, China
2
School of Internet of Things and Software Technology, Wuxi Vocational College of Science and Technology, Wuxi, China
3
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China
4
University College Dublin, Dublin, Ireland
1 Introduction The Internet of Things (IoT) is an information network connecting virtual and physical objects, and the mobile Internet of Things is a novel paradigm that is rapidly gaining ground in the field of modern wireless telecommunications. Its inherent private information security problem has gradually entered people’s field of vision, causing widespread concern. A picking operation is based on a customer’s order demand, accurately and quickly sorting the goods from the corresponding storage location, and classifying, concentrating, and waiting for assembly and delivery according to the attributes or demand char
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