A hormone regulation–based approach for distributed and on-line scheduling of machines and automated guided vehicles

With the continuous innovation of technology, automated guided vehicles are playing an increasingly important role on manufacturing systems. Both the scheduling of operations on machines as well as the scheduling of automated guided vehicles are essential factors contributing to the efficiency of th...

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Veröffentlicht in:Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture Journal of engineering manufacture, 2018-01, Vol.232 (1), p.99-113
Hauptverfasser: Zheng, Kun, Tang, Dunbing, Giret, Adriana, Salido, Miguel A, Sang, Zelei
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container_title Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture
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creator Zheng, Kun
Tang, Dunbing
Giret, Adriana
Salido, Miguel A
Sang, Zelei
description With the continuous innovation of technology, automated guided vehicles are playing an increasingly important role on manufacturing systems. Both the scheduling of operations on machines as well as the scheduling of automated guided vehicles are essential factors contributing to the efficiency of the overall manufacturing systems. In this article, a hormone regulation–based approach for on-line scheduling of machines and automated guided vehicles within a distributed system is proposed. In a real-time environment, the proposed approach assigns emergent tasks and generates feasible schedules implementing a task allocation approach based on hormonal regulation mechanism. This approach is tested on two scheduling problems in literatures. The results from the evaluation show that the proposed approach improves the scheduling quality compared with state-of-the-art on-line and off-line approaches.
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subjects Automated guided vehicles
Automation
Computer networks
Innovations
Materials handling
On-line systems
Schedules
Scheduling
Task scheduling
title A hormone regulation–based approach for distributed and on-line scheduling of machines and automated guided vehicles
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