Application of ELECTRE and TOPSIS methods in selecting synthetic lubricating oil suppliers to minimize delays in aircraft maintenance activities
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Abstract
One of the obstacles often faced when carrying out aircraft maintenance activities is the unavailability of lubricating oil that meets the established quality standards due to delays in the supply of lubricating oil from suppliers. In order for maintenance activities to be carried out according to the specified schedule, continuous availability of lubricating oil from suppliers is needed. Therefore, it is necessary to conduct research on the selection of reliable or trustworthy lubricating oil suppliers in supplying lubricating oil needs that meet the established quality standards. In selecting a lubricating oil supplier, the ELECTRE and TOPSIS methods are combined, where the ELECTRE method is used to process the weight of each supplier criterion and the TOPSIS method is used to rank alternative solutions obtained from the ELECTRE method classification.It is hoped that by combining these methods, recommendations for reliable suppliers can be provided. The suppliers selected as partners for providing lubricating oil are supplier C with an A* value of 3.090 and supplier B with an A* value of 2.973. The selection of suppliers is based on supplier performance with 6 criteria, namely the quality of lubricating oil, the price of lubricating oil, the responsiveness of the supplier's service and response, the speed of delivery to partner expeditions and the policy of replacing damaged or leaking lubricating oil
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References
Akram, M., Zahid, K., & Deveci, M. (2023). Multi-criteria group decision-making for optimal management of water supply with fuzzy ELECTRE-based outranking method. Applied Soft Computing, 143. https://doi.org/10.1016/j.asoc.2023.110403
Ali Al-Shamiri, M. M., Farooq, A., Nabeel, M., Ali, G., & Pamučar, D. (2023). Integrating TOPSIS and ELECTRE-I methods with cubic m-polar fuzzy sets and its application to the diagnosis of psychiatric disorders. AIMS Mathematics, 8(5), 11875–11915. https://doi.org/10.3934/math.2023601
Asadabadi, M. R., Ahmadi, H. B., Gupta, H., & Liou, J. J. H. (2023). Supplier selection to support environmental sustainability: the stratified BWM TOPSIS method. Annals of Operations Research, 322(1), 321–344. https://doi.org/10.1007/s10479-022-04878-y
Carra, M., Botticini, F., Pavesi, F. C., Maternini, G., Pezzagno, M., & Barabino, B. (2023). A comparative cycling path selection for sustainable tourism in Franciacorta. An integrated AHP-ELECTRE method. Transportation Research Procedia, 69, 448–455. https://doi.org/10.1016/j.trpro.2023.02.194
Chakraborty, S. (2022). TOPSIS and Modified TOPSIS: A comparative analysis. Decision Analytics Journal, 2, 100021. https://doi.org/10.1016/j.dajour.2021.100021
Chen, Z. S., Hu, Y. J., Ma, Z., Yang, H. H., Shang, L. Le, & Skibniewski, M. J. (2024). Selecting optimal honeycomb structural materials for electronics clean rooms using a Bayesian best-worst method and ELECTRE III. Journal of Building Engineering, 85. https://doi.org/10.1016/j.jobe.2024.108703
Ciardiello, F., & Genovese, A. (2023). A comparison between TOPSIS and SAW methods. Annals of Operations Research, 325(2), 967–994. https://doi.org/10.1007/s10479-023-05339-w
Corrente, S., & Tasiou, M. (2023). A robust TOPSIS method for decision making problems with hierarchical and non-monotonic criteria. Expert Systems with Applications, 214. https://doi.org/10.1016/j.eswa.2022.119045
Deveci, M., Pamucar, D., Gokasar, I., Köppen, M., Gupta, B. B., & Daim, T. (2023). Evaluation of Metaverse traffic safety implementations using fuzzy Einstein based logarithmic methodology of additive weights and TOPSIS method. Technological Forecasting and Social Change, 194. https://doi.org/10.1016/j.techfore.2023.122681
Fei, L., Liu, X., & Zhang, C. (2024). An evidential linguistic ELECTRE method for selection of emergency shelter sites. Artificial Intelligence Review, 57(4). https://doi.org/10.1007/s10462-024-10709-2
Hajiaghaei-Keshteli, M., Cenk, Z., Erdebilli, B., Selim Özdemir, Y., & Gholian-Jouybari, F. (2023). PYTHAGOREAN FUZZY TOPSIS METHOD FOR GREEN SUPPLIER SELECTION IN THE FOOD INDUSTRY. Expert Systems with Applications, 224. https://doi.org/10.1016/j.eswa.2023.120036
Ji, J., & Wang, D. (2023). Evaluation analysis and strategy selection in urban flood resilience based on EWM-TOPSIS method and graph model. Journal of Cleaner Production, 425. https://doi.org/10.1016/j.jclepro.2023.138955
Jin, G. (2023). Selection of virtual team members for smart port development projects through the application of the direct and indirect uncertain TOPSIS method. Expert Systems with Applications, 217. https://doi.org/10.1016/j.eswa.2023.119555
Li, Z., Luo, Z., Wang, Y., Fan, G., & Zhang, J. (2022). Suitability evaluation system for the shallow geothermal energy implementation in region by Entropy Weight Method and TOPSIS method. Renewable Energy, 184, 564–576. https://doi.org/10.1016/j.renene.2021.11.112
Liern, V., & Pérez-Gladish, B. (2022). Multiple criteria ranking method based on functional proximity index: un-weighted TOPSIS. Annals of Operations Research, 311(2), 1099–1121. https://doi.org/10.1007/s10479-020-03718-1
Ma, W., Du, Y., Liu, X., & Shen, Y. (2022). Literature review: Multi-criteria decision-making method application for sustainable deep-sea mining transport plans. In Ecological Indicators (Vol. 140). Elsevier B.V. https://doi.org/10.1016/j.ecolind.2022.109049
Maulita, Y., Lumbanbatu, K., Pardede, A. M. H., Malau, F. R., Studi, P., Informasi, S., & Binjai, K. (2018). METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi. 2(1). https://doi.org/10.46880/jmika.Vol2No1.pp74-84
Nurhaliza, N., & Adha, R. (2022). PERBANDINGAN METODE AHP, TOPSIS, DAN MOORA UNTUK REKOMENDASI PENERIMA BEASISWA KURANG MAMPU. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 8(1), 23–30.
Salvador, G., Moura, M., Campos, P., Cardoso, P., Espadinha-Cruz, P., & Godina, R. (2024). ELECTRE applied in supplier selection - a literature review. Procedia Computer Science, 232, 1759–1768. https://doi.org/10.1016/j.procs.2024.01.174
Wang, H., Luo, Y., Deng, B., Lin, J., & Li, X. (2023). Doctor selection based on aspect-based sentiment analysis and neutrosophic TOPSIS method. Engineering Applications of Artificial Intelligence, 124. https://doi.org/10.1016/j.engappai.2023.106599
Wątróbski, J., Bączkiewicz, A., Ziemba, E., & Sałabun, W. (2022). Sustainable cities and communities assessment using the DARIA-TOPSIS method. Sustainable Cities and Society, 83. https://doi.org/10.1016/j.scs.2022.103926
Yaqin, A. M. ‘Ainul, Rosyid, M. J., Leksono, V. A., & Wantira, A. D. (2024). A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS. Jurnal Teknik Industri, 26(2), 145–156. https://doi.org/10.9744/jti.26.2.145-156
Ye, J., & Chen, T. Y. (2023). Development of the ELECTRE Method Under Pythagorean Fuzzy Sets Based on Existing Correlation Coefficients for Cotton Fabric Selection. Journal of Natural Fibers, 20(2). https://doi.org/10.1080/15440478.2023.2201486
Yosi, Y., Martha, S., & Imro’ah, N. (2020). Penerapan Metode Electre Untuk Menentukan Prioritas Penerima Beras Miskin (Raskin). Bimaster: Buletin Ilmiah Matematika, Statistika Dan Terapannya, 9(