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- W2810588647 abstract "This paper explores how different routing techniques for the battery management of automated guided vehicles (AGVs) can affect the performance of a system. Four heuristics available in the literature were the basis of this study. Simulation models were developed to investigate how the routing of an AGV towards a battery station can affect the productivity of a manufacturing facility. Results show that the best productivity can be achieved when a routing heuristic tries to jointly minimise the total travel distance and waiting time at a battery station. The gain in productivity, when compared with the highest possible gain theoretically achievable, is quite substantial. It was also found that higher frequency of decision-making (i.e. decisions with smaller time interval) about battery swapping helps to increase the productivity of a system." @default.
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- W2810588647 date "2018-06-28" @default.
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- W2810588647 title "Comparative analysis of different routing heuristics for the battery management of automated guided vehicles" @default.
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- W2810588647 doi "https://doi.org/10.1080/00207543.2018.1475761" @default.
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