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Improving MRO order processing by means of advanced technol..:
Seitz, Melissa
;
Lucht, Torben
;
Keller, Christian
...
DOI:https://doi.org/10.1016/j.promfg.2020.02.121. , 2020
Link:
https://www.repo.uni-hannover.de/handle/123456789/1610
RT Journal T1
Improving MRO order processing by means of advanced technological diagnostics and data mining approaches
UL https://suche.suub.uni-bremen.de/peid=base-ftunivhannover:oai:www.repo.uni-hannover.de:123456789_16104&Exemplar=1&LAN=DE A1 Seitz, Melissa A1 Lucht, Torben A1 Keller, Christian A1 Ludwig, Christian A1 Strobelt, Rainer A1 Nyhuis, Peter PB Amsterdam [u.a.] : Elsevier YR 2020 K1 Complex Capital Goods K1 Condition Assessment K1 Data Mining K1 MRO K1 Order Processing K1 ddc:620 K1 Konferenzschrift JF DOI:https://doi.org/10.1016/j.promfg.2020.02.121 LK http://dx.doi.org/https://www.repo.uni-hannover.de/handle/123456789/16104 DO https://www.repo.uni-hannover.de/handle/123456789/16104 SF ELIB - SuUB Bremen
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