DocumentCode :
2573923
Title :
The automated guided vehicle problem in logistics operations
Author :
Miao, Zhaowei ; Ji, Guojun ; Rui Qiang ; Fan Wang
Author_Institution :
Sch. of Manage., Xiamen Univ., Xiamen
fYear :
2008
fDate :
June 30 2008-July 2 2008
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we introduce a model for designing a automatic guided vehicle system (AGVS) with multiple automatic guided vehicles (AGVs) operating under some given strategies and fixed layout. In our model, we take two cargoes into consideration, i.e. two cargoes entering AGVS. We make an assumption that we have known all the information about the first cargo already such as the entering entry and the leaving entry, but the information of the second one is random. Then we develop a two-stage stochastic program model for this problem. Because of its complexity, the optimal solution is difficult to obtain within a short time so that to get optimization is not operable in the real-world application. As a result, we adopt heuristic methods to solve it and do simulation to find useful insights.
Keywords :
logistics; stochastic programming; vehicles; automatic guided vehicle system; logistics operations; stochastic program model; Flexible manufacturing systems; Job shop scheduling; Logistics; Materials handling; Routing; Scheduling algorithm; Stochastic processes; Sun; Throughput; Vehicles; AGV; heuristic; optimization; stochastic program;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service Systems and Service Management, 2008 International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-1671-4
Electronic_ISBN :
978-1-4244-1672-1
Type :
conf
DOI :
10.1109/ICSSSM.2008.4598470
Filename :
4598470
Link To Document :
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