DETERMINING CRITICAL AIRCRAFT SPARE PARTS USING TEXT MINING AND ASSOCIATION RULE MINING TECHNIQUES (CROSBI ID 680906)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tošić, Marina ; Lisjak, Dragutin ; Kolar, Davor ; Špehar, Silvestar
engleski
DETERMINING CRITICAL AIRCRAFT SPARE PARTS USING TEXT MINING AND ASSOCIATION RULE MINING TECHNIQUES
Determination of critical spare parts is a crucial task in aviation during the process of forecasting spare parts demand. It is also an extremely challenging task due to the fact that demand in the aviation industry is intermittent, i.e. it is small and highly variable in size. The aim of this paper is not to predict exact spare parts inventory levels by using traditional forecasting methods (e.g. Chroston’s), but rather to discover critical spare parts during the low and high season. In order to succeed in that aim, text mining (TM) and association rule mining (ARM) techniques will be applied on a real-life dataset obtained from one European air carrier. Typical data mining steps ; data familiarization, data pre-processing and transformation, model development and result interpretation, will be presented. Based on the insights obtained from the results, conclusions and guidelines for further research will be presented.
spare parts, aircraft, text mining, association rule mining
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Podaci o prilogu
194-201.
2018.
objavljeno
Podaci o matičnoj publikaciji
ICIL 2018 Conference Proceedings
Sinuany-Stern, Zilla ; Cohen, Yuval
Beersheba: Ben-Gurion University
978-965-572-573-5
Podaci o skupu
14th International Conference on Industrial Logistics
poster
15.05.2018-17.05.2018
Beersheba, Izrael