A multi-attribute dispatching rule for automated guided vehicle systems
Autor: | Byung Ho Jeong, Sabah U. Randhawa |
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Rok vydání: | 2001 |
Předmět: |
Engineering
Artificial neural network Workstation business.industry Job shop Strategy and Management Real-time computing Automated guided vehicle Management Science and Operations Research Space (commercial competition) Manufacturing systems Industrial and Manufacturing Engineering Weighting law.invention law business |
Zdroj: | International Journal of Production Research. 39:2817-2832 |
ISSN: | 1366-588X 0020-7543 |
Popis: | This paper considers the dispatching problem associated with operations of automated guided vehicles (AGVs). A multi-attribute dispatching rule for dispatching of an AGV is developed and evaluated. The multi-attribute rule, using the additive weighting method, considers three system attributes concurrently: the remaining space in the outgoing buffer of a workstation, the distance between an idle AGV and a workstation with a job waiting for the vehicle to be serviced, and the remaining space in the input buffer of the destination workstation of a job. A neural network approach is used to obtain dynamically adjusting attribute weights based on the current status of the manufacturing system. Simulation analysis of a job shop is used to compare the multi-attribute dispatching rule with dynamically adjusting attribute weights to the same dispatching rule with fixed attribute weights and to several single attribute rules. Results show that the multi-attribute dispatching rule with the ability to adapt attribute... |
Databáze: | OpenAIRE |
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