Title :
Combinatorial Auction Method for Decentralized Task Assignment of Multiple-Loading Capacity AGV Based on Intelligent Agent Architecture
Author :
Fauadi, M.H.F.B.M. ; Wan-Ling Li ; Murata, Takafumi
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
Abstract :
Distributed manufacturing system has steadily becoming more significant for topics for researchers within manufacturing industry. It is due to the reason that it could provide higher flexibility for an organization to cope with a demanding and fluctuating market. This paper proposes distributed task assignment mechanism for multi-load Automated Guided Vehicle (AGV) operation in manufacturing industry. The architecture is based on multi-agent system (MAS) while the task assignment is based on combinatorial auction method. Additionally, necessary improvement have been made to the standard combinatorial auction method to support dynamic attributes of AGV task assignment mechanism.
Keywords :
automatic guided vehicles; combinatorial mathematics; loading equipment; manufacturing industries; multi-agent systems; combinatorial auction method; decentralized task assignment; distributed manufacturing system; distributed task assignment mechanism; intelligent agent architecture; manufacturing industry; multiagent system; multiload automated guided vehicle operation; multiple loading capacity AGV; Educational institutions; Load modeling; Loading; Production; Throughput; Vehicles; autonomous AGV; combinatorial auction; intelligent agent; multi-load capacity;
Conference_Titel :
Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on
Conference_Location :
Shenzhan
Print_ISBN :
978-1-4577-1219-7
DOI :
10.1109/IBICA.2011.56
