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WSC '94 Proceedings of the 26th conference on Winter simulation
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Computers in Industry - Special issue on manufacturing systems
Multi-agent coordination and control using stigmergy
Computers in Industry
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WSC '05 Proceedings of the 37th conference on Winter simulation
Dynamical Control in Large-Scale Material Handling Systems through Agent Technology
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
An agent-based dynamic routing strategy for automated material handling systems
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Generic planning and control of automated material handling systems
Computers in Industry
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This paper addresses the problem of generic planning and control of automated material handling systems (AMHSs). We build upon previous work to provide a proof of concept for generic control of AMHSs in different domains. We present a generic control architecture for AMHSs, and apply this architecture to a material flow model with storage and sorter systems. We set up our model to be applicable to AMHSs in two different industrial sectors: Baggage Handling and Distribution. We report on performance indicators and analyze how far we can control the two industries generically in terms of software implementation. To this end, we present an impressive degree of 84% commonality in the control software code. Moreover, we highlight deviations from the generic control and give insight to control procedures that deviate from the generic code. A generic architecture that optimally exploits synergy between the different market sectors may reduce design time and costs considerably for system suppliers acting in both industries, while finding a common ground to model AMHSs in these different sectors also forms a scientific challenge.