Open AccessOptimization of Waste Smoke Recovery Scheduling Strategy Based on Multi AGV
Author(s) -
Shunkai Sun,
Jie Li,
Jiule Zhu,
Haitao Chen,
Qi Xu,
Jingjie Liu,
Haobo Cui,
Guorui Li,
Wangdi Hu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012082
Subject(s) - smoke , scheduling (production processes) , automated guided vehicle , material handling , computer science , factory (object oriented programming) , job shop scheduling , task (project management) , automotive engineering , engineering , waste management , real time computing , process engineering , schedule , operations management , systems engineering , operating system , artificial intelligence , programming language
AGV is an important material handling equipment for flexible, lean and intelligent production of smart factory. Because of the high cost of AGV car and the congestion of vehicles in the system, this chapter studies the waste smoke recovery path planning and material handling task scheduling strategy of multi AGV system to improve the waste smoke recovery efficiency of AGV.