20.500.12556/RUL-102332
Big data analytics for operations management in engineer-to-order manufacturing
Manufacturing data offers big potential for improving management of manufacturing operations. The paper addresses an approach to data analytics in engineer-to-order (ETO) manufacturing systems where the product quality and due-date reliability play a key role in management decisionmaking. The objective of the research is to investigate manufacturing data which are collected by a manufacturing execution system (MES) during operations in an ETO enterprise and to develop tools for supporting scheduling of operations. The developed tools can be used for simulation of production and forecasting of potential resource overloads.
engineer-to-order manufacturing
operations management
data analytics
industrial data
data mining
big data
posamična proizvodnja
management operacij
analitika podatkov
industrijski podatki
podatkovno rudarjenje
velepodatki
true
false
false
Angleški jezik
Slovenski jezik
Neznano
2018-08-21 10:14:12
2018-08-21 10:14:13
2022-08-15 03:41:13
0000-00-00 00:00:00
2018
0
0
Str. 209-214
Vol. 72
2018
0000-00-00
NiDoloceno
NiDoloceno
NiDoloceno
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0000-00-00
0000-00-00
658.5.012.7:658.56(045)
2212-8271
10.1016/j.procir.2018.03.098
16190235
15509531
https://www.sciencedirect.com/science/article/pii/S2212827118302531#!
1
https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=112630
Fakulteta za strojništvo
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