Open AccessReal-time Task Assignment Method of Two-load AGV under Dynamic Change of Goods Urgency in Logistics Warehouse
Author(s) -
Yuyun Kang,
Feng Gao,
Wang Zhen-hai,
Jun Sun
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1576/1/012055
Subject(s) - task (project management) , computer science , tree (set theory) , automated guided vehicle , material handling , warehouse , order (exchange) , operations research , real time computing , simulation , industrial engineering , engineering , artificial intelligence , mathematics , business , systems engineering , mathematical analysis , finance , marketing
A real-time task assignment method based on the least time is proposed to solve the problem of automatic assignment of two-load Automatic Guided Vehicle (AGV) transportation tasks when the urgency of outbound goods is changing dynamically. Firstly, the urgency of goods going out of the warehouse is defined, and it is time-dependent and divided into two categories: urgent and non-urgent. Secondly, the location of AGV consists of three classes and the current task status of AGV is also detailed to three classes. Thirdly, the same vehicle factor is determined according to whether the adjacent outgoing goods are in the same vehicle. Fourthly, according to the order of issued task and taking the above factors into consideration, the delivery time is analyzed and enumerated under different shipment orders and different AGV status. Finally, a decision tree is built and the real-time task assignment method is proposed considering the least time.