A multi-agent architecture for control of AGV systems

Farahvash, Pooya; Boucher, Thomas O.

doi:10.1016/j.rcim.2004.07.005

Cited by 50 publications

(19 citation statements)

References 13 publications

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“…A multi-agent architecture to control material handling system was presented by Farahvash and Boucher (2004) in order to analyze how different routing methods perform for a specific design under a decentralized control via online scheduling. Wallace (2007) conducted a research which made use of some heuristics to improve the performance of an agent-based controller.…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-agent based approach to dynamic scheduling with flexible processing capabilities

et al. 2015

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A multi-agent based system is proposed to simultaneous scheduling of flexible machine groups and material handling system working under a manufacturing dynamic environment. The proposed model is designed by means of Prometheus TM methodology and programmed in JACK TM agent based systems development environment. Each agent in the model is autonomous and has an ability to cooperate and negotiate with the other agents in the system. Due to these abilities of agents, the structure of the system is more suitable to handle dynamic events. The proposed dynamic scheduling system is tested on several test problems the literature and the results are quite satisfactory because it generates effective schedules for both dynamic cases in the real time and static problem sets. Although the model is designed as an online method and has a dynamic structure, obtained schedule performance parameters are very close to those obtained from offline optimization based algorithms.

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Section: Literature Reviewmentioning

confidence: 99%

A multi-agent based approach to dynamic scheduling with flexible processing capabilities

et al. 2015

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“…An important simulation tool called Manufacturing Agent Simulation Tool (MAST) was developed for simulation of material handling system in [12]. A multi-agent based architecture for AGVS was proposed in [13], in which communication was achieved by using a relational database (blackboard system). A complete overview of agent-based manufacturing was presented in [9,14,15].…”

Section: Related Workmentioning

confidence: 99%

Ontology Development and Agent Communication in Agent-Based Simulation of AGVS

Komma¹,

Jain²,

Mehta³

2012

Int. j. simul. model.

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For effective information exchange in agent-based systems, domain-specific ontology is strongly needed, which is the vocabulary representing facts and relations of objects in the domain. In this paper, a semi-formal domain-specific ontology for shop floor focusing on Automated Guided Vehicle Systems (AGVS) is presented. The domain-specific ontology is developed on Protégé, a leading frame-based ontology editor, and is further converted into JADE™ (Java Agent DEvelopment Framework) compliant java classes. The developed ontology has been used in agent-communication of a simulator known as agent-based shop floor simulator (ABSFSim). Agent communication used in the ABSFSim is discussed. Agentbased simulation model of a sample manufacturing system is built with ABSFSim and the working of the model is verified and validated by comparing the output with an equivalent model developed in ProModel. The ontology development process presented in this paper is useful for developing agent-based models in different sections of manufacturing and also for developing high level agent-based software platforms for manufacturing systems.

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“…An important simulation tool called Manufacturing Agent Simulation Tool (MAST) was developed for simulation of material handling system by (Vrba, 2003). A multi-agent based architecture for AGV system was proposed by (Farahvash & Boucher, 2004) in which communication was achieved by using a relational database (blackboard system). A complete overview of Agent-based manufacturing was presented by (Paolucci & Sacile, 2005).…”

Section: Review Of Related Workmentioning

confidence: 99%