TY - JOUR
T1 - Testing an AHP model for aircraft spare parts
AU - Nariswari, Ni Putu Ayu
AU - Bamford, David
AU - Dehe, Benjamin
PY - 2019/3/12
Y1 - 2019/3/12
N2 - This research aims to develop and test a practical and precise multi-criteria classification of aircraft spare part inventory management, using the Analytical Hierarchy Process (AHP), in order to maintain aircraft operational availability and to reduce unnecessary downtime. In this study, a multi-criteria model is developed within a large-scale aircraft maintenance and repair firm in Indonesia. Spare parts data were extracted from the inventory system and analysed to triangulate the model outcome, demonstrate its validity and compare the results against the mathematical results generated by the system’s algorithm. The findings suggest that AHP can lead to a transparent, rapid and systematic classification model, this is highly accurate and precise with an outcome comparable to traditional methods. The conclusion proposes that the AHP classification model is more effective and transparent than the currently available mathematical methods. This research contributes to the development of the multi-criteria inventory classification literature in the context of the aviation industry.
AB - This research aims to develop and test a practical and precise multi-criteria classification of aircraft spare part inventory management, using the Analytical Hierarchy Process (AHP), in order to maintain aircraft operational availability and to reduce unnecessary downtime. In this study, a multi-criteria model is developed within a large-scale aircraft maintenance and repair firm in Indonesia. Spare parts data were extracted from the inventory system and analysed to triangulate the model outcome, demonstrate its validity and compare the results against the mathematical results generated by the system’s algorithm. The findings suggest that AHP can lead to a transparent, rapid and systematic classification model, this is highly accurate and precise with an outcome comparable to traditional methods. The conclusion proposes that the AHP classification model is more effective and transparent than the currently available mathematical methods. This research contributes to the development of the multi-criteria inventory classification literature in the context of the aviation industry.
KW - AHP
KW - Inventory Classification
KW - Aircraft Spares
UR - http://www.scopus.com/inward/record.url?scp=85062321020&partnerID=8YFLogxK
U2 - 10.1080/09537287.2018.1555341
DO - 10.1080/09537287.2018.1555341
M3 - Article
VL - 30
SP - 329
EP - 344
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
IS - 4
ER -