ANALISIS PEMILIHAN WAREHOUSE UNTUK AIRCRAFT ON GROUND DAN RUSH ORDER CASE DENGAN MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS. (STUDI KASUS: PT. BATAM AERO TEKNIK)
Abstract
Lion Group is one of the largest airlines in Southeast Asia and even in the world. Lion Air Group itself has six airlines, including Lion Air Indonesia, Lion Air Thailand, Batik Air Indonesia, Batik Air Malaysia, Super Air Jet, and Wings Air. With such a large fleet, Lion Air Group must also maintain its aircraft to ensure they are airworthy and can support its operations. Approximately 360-400 aircraft undergo routine maintenance, both scheduled and unscheduled. For unscheduled maintenance, Lion Group faces challenges related to the delivery and storage of spare parts, especially for aircraft categorized as AOG (Aircraft On Ground), where the handling process requires high speed and accuracy to meet safety standards and provide passenger service within a short timeframe. Warehouses for AOG spare parts are very limited and are still mixed with general warehouses. Considering that the criteria for warehouses in the aircraft maintenance process are quite strict, a special study is needed to determine them.References
Bazargan, M. (2016). Airline operations and scheduling (2nd ed.). Routledge.
https://doi.org/10.4324/9781315603914
Direktorat Jenderal Perhubungan Udara. (2020). Civil Aviation Safety Regulations (CASR) Part 145: Approved Maintenance Organization. Kementerian Perhubungan Republik Indonesia.
Direktorat Jenderal Perhubungan Udara. (2020). Civil Aviation Safety Regulations (CASR) Part 21: Certification Procedures for Products and Articles. Kementerian Perhubungan Republik Indonesia.
Direktorat Jenderal Perhubungan Udara. (2020). Civil Aviation Safety Regulations (CASR) Part 43: Maintenance, Preventive Maintenance, Rebuilding, and Alteration. Kementerian Perhubungan Republik Indonesia.
Govindan, K., Khodaverdi, R., & Jafarian, A. (2013). A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345–354.
https://doi.org/10.1016/j.jclepro.2012.04.014
Govindan, K., & Jepsen, M. B. (2016). Supplier risk assessment based on trapezoidal intuitionistic fuzzy numbers and AHP. Expert Systems with Applications, 43, 330–340.
https://doi.org/10.1016/j.eswa.2015.07.037
Kumar, S., Vrat, P., & Shankar, R. (2016). A fuzzy goal programming approach for vendor selection problem in a supply chain. Computers & Industrial Engineering, 93, 203–212.https://doi.org/10.1016/j.cie.2015.12.020
Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98. https://doi.org/10.1504/IJSSCI.2008.017590
Saaty, T. L., & Vargas, L. G. (2012). Models, methods, concepts & applications of the analytic hierarchy process (2nd ed.). Springer. https://doi.org/10.1007/978-1-4614-3597-6
