OPTIMASI PEMILIHAN VENDOR UNTUK RE-DESAIN SISTEM INSTRUMENTASI HEATER MENGGUNAKAN AHP DAN ALGORITMA GENETIKA
DOI:
https://doi.org/10.53026/prosidingsntem.v5i1.577Keywords:
Pemilihan Vendor, AHP, Algoritma Genetika, Optimasi Multi-objektif, Sistem InstrumentasiAbstract
Industri teknik menghadapi tantangan dalam perancangan ulang sistem instrumentasi heater package akibat pemilihan vendor yang tidak optimal, karena metode konvensional gagal menyeim-bangkan kriteria bertentangan seperti biaya, kualitas, dan waktu pengiriman. Penelitian ini mengusulkan kerangka kerja optimasi strategis menggunakan model hibrida Analytic Hierarchy Process (AHP) untuk pembobotan kriteria pakar dan Algoritma Genetika (GA) untuk mencari solusi multi-objektif. Hasil optimasi menunjukkan trade-off yang jelas, di mana Solusi 1 menawarkan biaya terendah ($2.70M) dan pengiriman tercepat (23 minggu) (kualitas 3.6/10), sementara Solusi 3 mencapai kualitas tertinggi (3.8/10) dengan biaya $2.81M. Penelitian ini berkontribusi menyediakan rekomendasi vendor dalam bentuk Pareto Front, yang berfungsi sebagai alat bantu pengambilan keputusan sistematis untuk meningkatkan keunggulan kompetitif.
References
I. Pamungkas, H. T. Irawan, F. Fitriadi, et al., "Risk and reliability analysis on critical components of boiler in steam power plant," Journal of Physics: Conference Series, vol. 1569, no. 4, p. 042091, 2020.
S. Vyas, A. Desai, S. Badave, et al., "Critical Analysis of Heat Exchanger Cycle for its Maintainability Using Failure Modes and Effect Analysis and Pareto Analysis," International Journal of Engineering Technology, Management and Applied Sciences, vol. 5, no. 7, pp. 119-125, 2017.
Z. Kurniawan and K. Widiyati, "Quantitative Study of Risk Based Inspection Using API 581 on Heat Exchanger Tube Bundle," Jurnal Teknik Mesin, vol. 14, no. 1, pp. 26-32, 2023.
M. Sepehri, "Strategic Selection and Empowerment of Supplier Portfolios Case: Oil and Gas Industries in Iran," International Journal of Academic Research in Business and Social Sciences, vol. 3, no. 1, pp. 545-560, 2013.
N. Alonso, "Integrated control and safety systems design considerations to guarantee IEC61508 / IEC61511 compliance throughout the lifecycle," in 2015 6th International Symposium on Resilient Control Systems (ISRCS), 2015, pp. 1-8.
Y. Sabri, G. J. L. Micheli, and E. Cagno, "Supplier selection and supply chain configuration in the projects environment," International Journal of Engineering Business Management, vol. 12, p. 184797902095096, 2020.
U. Franke and F. Ciccozzi, "Characterization of trade-off preferences between non-functional properties," Journal of Systems and Software, vol. 132, pp. 1-19, 2017.
K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons, 2009.
M. T. T. Torbati, A. H. Ansaripoor, and A. R. Ansaripoor, "An application of multi-objective optimization based on genetic algorithm for sustainable strategic supplier selection," International Journal of Logistics Systems and Management, vol. 38, no. 4, pp. 543-563, 2021.
G. A. B. Canales-Bustos, R. R. A. Feldesman, and M. A. A. Fernandez, "A multi-objective optimization model for the sustainable supplier selection problem," Computers & Industrial Engineering, vol. 147, p. 106622, 2020.
Y. A. Tirkolaee, E. B. Tirkolaee, and A. H. I. Kassim, "A hybrid multi-objective optimization model for sustainable and resilient supplier selection and order allocation," Expert Systems with Applications, vol. 210, p. 118431, 2022.
G. Rudolph, "Convergence analysis of canonical genetic algorithms," IEEE Transactions on Neural Networks, vol. 5, no. 1, pp. 96-101, 1994.
S. Mirjalili, "Genetic algorithm," in Evolutionary Algorithms and Neural Networks, Springer, 2019, pp. 43-55.
F. Herrera, M. Lozano, and J. L. Verdegay, "Tackling real-coded genetic algorithms: operators and tools for behavioural analysis," Artificial Intelligence Review, vol. 12, no. 4, pp. 265-319, 1998.
A. T. H. Le, T. T. T. Nguyen, and H. P. H. Le, "A multi-objective optimization model for supplier selection and order allocation problem with quantity discounts," Applied Mathematical Modelling, vol. 93, pp. 293-313, 2021.
M. H. F. Zarandi, S. S. Fazel, and M. R. S. Hosseini, "A fuzzy multi-objective optimization model for the supplier selection problem in a multi-product multi-echelon supply chain network," Applied Soft Computing, vol. 111, p. 107705, 2021.
A. H. Gandomi, X. S. Yang, and A. H. Alavi, "Cuckoo search algorithm: a metaheuristic approach to solve optimization problems," in Engineering Mechanics Institute Conference (EMI), 2011.
C. A. Coello Coello, "Constraint-handling techniques used with evolutionary algorithms," in Proceedings of the 2002 Congress on Evolutionary Computation (CEC2002), vol. 1, pp. 477-482, 2002.
P. M. F. de Oliveira, "Multi-objective optimization for strategic supplier selection: The role of the decision maker," Expert Systems with Applications, vol. 184, p. 115509, 2021.
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