Forecasting Real Disassembly Time of Industrial Batteries based on Virtual MTM-UAS Data

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Forecasting Real Disassembly Time of Industrial Batteries based on Virtual MTM-UAS Data. / Schwarz, Therese; Rübenbauer, Wolfgang; Rutrecht, Bettina; Pomberger, Roland.

in: Procedia CIRP, Jahrgang 2018, Nr. 69, 05.2018, S. 927 - 931.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Bibtex - Download

@article{5cf9389f533f43889d66af6a0dbd40ea,
title = "Forecasting Real Disassembly Time of Industrial Batteries based on Virtual MTM-UAS Data",
author = "Therese Schwarz and Wolfgang R{\"u}benbauer and Bettina Rutrecht and Roland Pomberger",
year = "2018",
month = may,
doi = "10.1016/j.procir.2017.11.094",
language = "English",
volume = "2018",
pages = "927 -- 931",
journal = " Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier",
number = "69",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Forecasting Real Disassembly Time of Industrial Batteries based on Virtual MTM-UAS Data

AU - Schwarz, Therese

AU - Rübenbauer, Wolfgang

AU - Rutrecht, Bettina

AU - Pomberger, Roland

PY - 2018/5

Y1 - 2018/5

U2 - 10.1016/j.procir.2017.11.094

DO - 10.1016/j.procir.2017.11.094

M3 - Article

VL - 2018

SP - 927

EP - 931

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

IS - 69

ER -