Naslov
DETERMINING CRITICAL AIRCRAFT SPARE PARTS USING TEXT MINING AND ASSOCIATION RULE MINING TECHNIQUES

Autori
Tošić, Marina ; Lisjak, Dragutin ; Kolar, Davor ; Špehar, Silvestar

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
ICIL 2018 Conference Proceedings / Sinuany-Stern, Zilla ; Cohen, Yuval - Beersheba : Ben-Gurion University, 2018, 194-201

ISBN
978-965-572-573-5

Skup
14th International Conference on Industrial Logistics

Mjesto i datum
Beersheba, Izrael, 15.05.2018. - 17.05.2018

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
spare parts, aircraft, text mining, association rule mining

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Strojarstvo, Zrakoplovstvo, raketna i svemirska tehnika

POVEZANOST RADA