Haleh, H., Tayebi Araghi, M., Mohammad Arabzad, S. (2014). Multi-agent Formula for automated guided vehicles Systems. Journal of Applied Research on Industrial Engineering, 1(5), 280-292.
H. Haleh; M.E. Tayebi Araghi; S. Mohammad Arabzad. "Multi-agent Formula for automated guided vehicles Systems". Journal of Applied Research on Industrial Engineering, 1, 5, 2014, 280-292.
Haleh, H., Tayebi Araghi, M., Mohammad Arabzad, S. (2014). 'Multi-agent Formula for automated guided vehicles Systems', Journal of Applied Research on Industrial Engineering, 1(5), pp. 280-292.
Haleh, H., Tayebi Araghi, M., Mohammad Arabzad, S. Multi-agent Formula for automated guided vehicles Systems. Journal of Applied Research on Industrial Engineering, 2014; 1(5): 280-292.
Multi-agent Formula for automated guided vehicles Systems
1Golpayegan University of Technology, Department of Industrial Engineering, Golpayegan, Iran
2Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Receive Date: 05 September 2014,
Revise Date: 10 December 2014,
Accept Date: 15 December 2014
Abstract
Automated guided vehicle system (AGVS) is traditionally used in manufacturing and warehousing. Especially, AGVS has many applications in flexible manufacturing system (FMS) (see, e.g., Ganesharajah, Hall, & Sriskandarajah, 1998; Seo & Egbelu, 1999;
Vosniakos & Mamalis, (1990). Agents are event-driven objects that can integrant in automated manufacturing environments to control certain tasks. In this paper a set of agents (a multi-agent system) is introduced to control an automated manufacturing environment. The studied problem can be modeled as a job shop where the jobs have to transported between machines by AGVs. This article introduces based on a disjunctive graph to modulate the joint scheduling problem and for machines and AGVs scheduling. The objective is to minimize the make span. Some case studies were used to show the effectiveness of simulation in solving these problems
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