Perbaikan Min-Max Distribusi Dengan Multiple Criteria ABC Analysis NG-Model Untuk Pengoptimalan List Part Number

Zulhendra Hanif, Muhammad Hisjam, Wakhid Ahmad Jauhari



PT GMF Aeroasia Tbk. is the largest MRO company in Indonesia. This company has 67 plants worldwide. With the many plants that must be serviced, the complex process of repairing aircraft with spare parts that exceeds 15,000 types. Part distribution is a very big challenge and must be faced by companies where part distribution is done with multi-stage warehouses. At present the main warehouse has problems with the inefficiency of the min-max distribution system at each plant where the system aims to bond the parts that have the greatest frequency of demand to the sub-warehouse at the plant. This study discusses the improvement of Min-Max distribution with ABC Analysis NG-Model Multiple Criteria which aims to improve the efficiency of the list part number with the frequency of order transfer requests and the most optimal performance at 9 internal plants with the largest part demand activity. The proposed method is known to be able to increase min-max accommodation including, Transfer Order frequency from 23% to 40.80% and weekly delivery performance from 22% to 62.69%. In addition, this method can also reduce the amount of part number on Min-max with the results of Transfer Order accommodation and increased performance from the methods currently used.


internal distribution; ABC classification; NG-Model; multi-stage warehouse; MRO

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Bacchetti, A.; Saccani, N. (2012). "Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice". Omega, 40 (6), 722–737.

Bertazzi, L.; Bosco, A.; Laganà, D. (2016). "Min–Max exact and heuristic policies for a two-echelon supply chain with inventory and transportation procurement decisions". Transportation Research Part E: Logistics and Transportation Review, 93, 57–70.

Chien, K.-C.; Chou, Y.-C. (2017). "An analytic method of service parts classification for inventory management". In Proceedings of International Conference on Computers and Industrial Engineering, CIE.

Cheng, C.-H. (1999). "Evaluating weapon systems using ranking fuzzy numbers". Fuzzy Sets and Systems, 107(1), 25–35. doi: 10.1016/S0165-0114(97)00348-5

Chu, C.-W.; Liang, G.-S.: Liao, C.-T. (2008). "Controlling inventory by combining ABC analysis and fuzzy classification". Computers & Industrial Engineering, 55 (4), 841–851. doi: 10.1016/j.cie.2008.03.006

Erkoc, M.; Ertogral, K. (2016). "Overhaul planning and exchange scheduling for maintenance services with rotable inventory and limited processing capacity". Computers & Industrial Engineering, 98, 30–39. doi: 10.1016/j.cie.2016.05.021

Flores, B.E.; Whybark, D.C. (1986). "Multiple criteria ABC analysis". International Journal of Operations & Production Management, 6 (3), 38–46. doi: 10.1108/eb054765

Flores, B.E.; Whybark, D.C. (1987). "Implementing multiple criteria ABC analysis". Journal of Operations Management, 7 (1), 79–85. doi: 10.1016/0272-6963(87)90008-8

Guvenir, H.A.; Erel, E. (1998). "Multicriteria inventory classification using a genetic algorithm". European Journal of Operational Research, 105 (1), 29–37.

Hu, Q.; Chakhar, S.; Siraj, S.; Labib, A. (2017). "Spare parts classification in industrial manufacturing using the dominance-based rough set approach". European Journal of Operational Research, 262 (3), 1136–1163. doi: 10.1016/j.ejor.2017.04.040

Huiskonen, J. (2001). "Maintenance spare parts logistics: Special characteristics and strategic choices". International Journal of Production Economics, 71 (1-3), 125-133. doi:10.1016/S0925-5273(00)00112-2

Hvolby, H.H. (2000). "Performance measurement and improvement in supply chains". Proceedings of the 3rd (Euro) CINet Conference CI2000 From Improvement to Innovation, (Aalborg Universitet), 399–408.

Iraqi, Z.; Barkany, A.E.; Biyaali, A.E. (2016). "Models of spare parts inventories’ optimisation: A literature review". International Journal of Services, Economics and Management, 7 (2–4), 95–110. doi: 10.1504/IJSEM.2016.081845

Li, L.; Liu, M.; Shen, W.; Cheng, G. (2017). "An improved stochastic programming model for supply chain planning of MRO spare parts". Applied Mathematical Modelling, 47, 189–207. doi: 10.1016/j.apm.2017.03.031

Ng, W.L. (2007). "A simple classifier for multiple criteria ABC analysis". European Journal of Operational Research, 177 (1), 344-353. doi: 10.1016/j.ejor.2005.11.018

Marichelvam, M.K.; Azhagurajan, A.; Geetha, M. (2017). "Reduction of spare parts inventory through combined analysis technique - a case study in a public sector company in India". International Journal of Services and Operations Management, 28 (4), 495–523. doi: 10.1504/IJSOM.2017.087851

Meyliawati, M.; Suprianto, E. (2016). "Tinjauan sistem prosedur pengeluaran material C212 di gudang manajemen persediaan PT. X". Indept, 6, 17–23.

Millstein, M.A.; Yang, L.; Li, H. (2014). "Optimizing ABC inventory grouping decisions". International Journal of Production Economics, 148, 71–80. doi: 10.1016/j.ijpe.2013.11.007

Molenaers, A.; Baets, H.; Pintelon, L.; Waeyenbergh, G. (2012). "Criticality classification of spare parts: A case study". International Journal of Production Economics, 140 (2), 570–578. doi: 10.1016/j.ijpe.2011.08.013

Partovi, F.Y.; Hopton, W.E. (1994). "The analytic hierarchy process as applied to two types of inventory problems". Production and Inventory Management Journal, 26 (1), 13-19.

Peters, R.W. (2015). 17 - Maintenance, Repair, and Operations (MRO) Material Management: The Missing Link in Reliability. In R. W. B. T.-R. M. P. Peters Estimating, and Scheduling (Ed.) (hal. 277–283). Boston: Gulf Professional Publishing.

Qu, Z.; Raff, H.; Schmitt, N. (2018). "Incentives through inventory control in supply chains". International Journal of Industrial Organization, 59, 486–513. doi: 10.1016/j.ijindorg.2018.06.001

Roda, I.; Macchi, M.; Fumagalli, L.; Viveros, P. (2014). "A review of multi-criteria classification of spare parts: From literature analysis to industrial evidences". Journal of Manufacturing Technology Management, 25 (4), 528–549. doi: 10.1108/JMTM-04-2013-0038

Sarmah, S.P.; Moharana, U.C. (2015). "Multi-criteria classification of spare parts inventories - A web based approach". Journal of Quality in Maintenance Engineering, 21 (4), 456–477. doi: 10.1108/JQME-04-2012-0017

Scala, N.M.; Rajgopal, J.; Needy, K.L. (2014). "Managing nuclear spare parts inventories: A data driven methodology". IEEE Transactions on Engineering Management, 61 (1), 28–37. doi: 10.1109/TEM.2013.2283170

Silver, E.; Pyke, D.; Peterson, R. (1998). Inventory Management and Production Scheduling. The John Wiley & Sons.

Singh, D.; Verma, A. (2018). "Inventory Management in Supply Chain". Materials Today: Proceedings, 5 (2), 3867–3872. doi: 10.1016/j.matpr.2017.11.641

Sughayer, Z.A.; Attia, E.-A.; El-Assal, A. (2017). "Spare parts classification in marine rescue and fire services’ stores with case study". In ACM International Conference Proceeding Series (hal. 100–106). doi: 10.1145/3178264.3178270

van Kampen, T.J.; Akkerman, R.; van Donk, D.P. (2012). "SKU classification: A literature review and conceptual framework". International Journal of Operations and Production Management, 32 (7), 850–876. doi: 10.1108/01443571211250112

Wang, X.; Shu, Z.; Bai, J. (2015). "An analysis of the ABC classification method for equipment maintenance materials inventory control based on the fuzzy theory". In Electronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014 (Vol. 2, hal. 1733–1736).

Wen, M.; Zu, T.; Guo, M.; Kang, R.; Yang, Y. (2018). "Optimization of Spare Parts Varieties Based on Stochastic DEA Model". IEEE Access, 6, 22174–22183. doi: 10.1109/ACCESS.2018.2829480

Wong, H.; van Houtum, G.J.; Cattrysse, D.; Oudheusden, D. (2006). "Multi-item spare parts systems with lateral transshipments and waiting time constraints". European Journal of Operational Research, 171 (3), 1071–1093. doi: 10.1016/j.ejor.2005.01.018

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