A Page-Rank-like Approach to Optimal Placement of Charging Stations in a Warehouse

Fuente: arXiv
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Autori principali: Stark, Hans-Georg, Jelibaghu, Mustafa, Tschirpke, Katrin, Eley, Michael
Natura: Preprint
Pubblicazione: 2024
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author Stark, Hans-Georg
Jelibaghu, Mustafa
Tschirpke, Katrin
Eley, Michael
author_facet Stark, Hans-Georg
Jelibaghu, Mustafa
Tschirpke, Katrin
Eley, Michael
contents In this paper we describe an approach to the problem of finding optimal positions for charging stations (CS) in a warehouse, where a fleet of electrical industrial trucks/forklifts is employed. Our procedure is motivated by Googles Page-Ranking. The graph model underlying our method is easily extensible from simple distance based criteria, relevant for choosing optimal CS-positions, to more complex criteria taking into account, e.g., the ''state of charge'' (SOC) of the individual trucks battery.
format Preprint
id arxiv_https___arxiv_org_abs_2406_17003
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Page-Rank-like Approach to Optimal Placement of Charging Stations in a Warehouse
Stark, Hans-Georg
Jelibaghu, Mustafa
Tschirpke, Katrin
Eley, Michael
Optimization and Control
In this paper we describe an approach to the problem of finding optimal positions for charging stations (CS) in a warehouse, where a fleet of electrical industrial trucks/forklifts is employed. Our procedure is motivated by Googles Page-Ranking. The graph model underlying our method is easily extensible from simple distance based criteria, relevant for choosing optimal CS-positions, to more complex criteria taking into account, e.g., the ''state of charge'' (SOC) of the individual trucks battery.
title A Page-Rank-like Approach to Optimal Placement of Charging Stations in a Warehouse
topic Optimization and Control
url https://arxiv.org/abs/2406.17003