Minimizing production cost for kendang djembe production through goal programming model
DOI:
https://doi.org/10.12928/ijio.v3i2.6658Keywords:
Goal programming, Optimization, LingoAbstract
Kendang djembe is a percussion instrument played by striking with the fingers and palms. The body of the kendang djembe is generally made of wood and shaped like a cup or mug, carved either by machine or traditionally only by hand. This problem affects the production costs, the employee working house, and the profit of kendang djembe. Customer orders and requirements determine the production process for kendang djembe. It leads to fluctuations in market demand, affecting production costs and the working hours of kendang djembe employees. As a result, employees work overtime when orders rush in, resulting in poor product finishes such as crude engraving and painting. This research aims to minimize the production cost of kendang djembe, maximize the employee working hours, and maximize the profit by using the goal programming method. Goal programming is applied to decide the number of kendang djembe, the minimum production cost, and the time for each kendang djembe. The result of this research is that CV. Maharani Abadi has to make 237 units of kendang djembe paintings, 1266 kendang djembe carvings, 870 kendang djembe painting carvings, and 91 kendang djembe deep carvings. CV. Maharani spent a production cost of Rp 399,413,400, with the employee working 1846.36 hours, and obtained a maximum profit of Rp 126,526,600. This research helps the company to avoid unprofitable options in the production process of kendang djembe.
References
A. Eunike , N. W. Setyanto, R. Yuwinarti, I. Hamdala, R. Lukudono, and A. Fanani, Perencanaan Produksi dan Pengendalian Persediaan. Malang, Jawa Timur: UB Press, 2021. E. S. Buffa and R. K. Sarin, Modern Production Operations Management, New York: John Wiley and Sons, 1987.
E. S. Buffa and R. K. Sarin, Modern Production Operations Management, New York: John Wiley and Sons, 1987.
E. Suciyati. Analisis Perencanaan Kapasitas Produksi Dengan Metode Break Even Point Pada Ud Sinar Logam Jaya Kabupaten Tegal. Tegal, Indonesia: Universitas Pancasakti
A. Surachman, and Murti, Operations Research, Indonesia: Media Nusa Kreatif, 2015.
M. K. Zuhanda, S. Suwilo, O. S. Sitompul, and M. Mardingsih, “Goal programming method in optimizing course student admission, operational costs and profits,” Journal Of Informatics And Telecommunication Engineering, vol. 5, no. 2, pp. 286–294, 2022.
F. Salas-Molina and J. A. Rodríguez-Aguilar, “Data-driven multiobjective decision-making in cash management,” EURO Journal on Decision Processes, vol. 6, no. 1-2, pp. 77–91, Jun. 2018.
Y. Yan, Y. Zhang, W. Hu, X.-jun Guo, C. Ma, Z.-ang Wang, and Q. Zhang, “A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation,” Journal of Mountain Science, vol. 17, no. 8, pp. 1860–1873, 2020.
S. Biswas, S. G. Anavatti, and M. A. Garratt, “Multiobjective mission route planning problem: a neural network-based forecasting model for mission planning,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 1, pp. 430–442, Dec. 2021.
Y. Zhang, J. Wang, and H. Lu, “Research and application of a novel combined model based on multiobjective optimization for multistep-ahead electric load forecasting,” Energies, vol. 12, no. 10, p. 1931, 2019.
J. Wang, H. Li, Y. Wang, and H. Lu, “A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm,” Expert Systems with Applications, vol. 168, p. 114364, Apr. 2021. 0447
Y. Yang, “Clustering and prediction analysis of the coordinated development of China’s regional economy based on immune genetic algorithm,” Complexity, vol. 2021, pp. 1–12, Mar. 2021.
B. Luo, X. Liu, F. Zhang, and P. Guo, “Optimal management of cultivated land coupling remote sensing-based expected irrigation water forecasting,” Journal of Cleaner Production, vol. 308, p. 127370, Jul. 2021.
Hamta, M. Ehsanifar, and J. Sarikhani, “Presenting a goal programming model in the timecost-quality trade-off,” International Journal of Construction Management, vol. 21, no. 1, pp. 1–11, Feb. 2018.
S. Mulyono, Riset Operasi, Jakarta, Indonesia: UI Press, 2004.
M. K. Zuhanda, Muhathir, and D. M. Hutauruk, “Priority analysis of decision making in social entrepreneurship,” IOSR Journal of Engineering (IOSRJEN), vol. 10, no. 1, pp. 14–26, Jan. 2020.
Siswanto, Operation Research Jilid 1, vol. 14, Indonesia: Erlangga, 2007, pp. 113-120.
S. Mardliyah, M. Y. Fajar, and F. H. Badruzzaman, “Penggunaan forecasting dan goal programming dalam optimasi perencanaan produksi beras,” Bandung Conference Series: Mathematics, vol. 2, no. 1, pp. 83–93, Jan. 2022.
S. Gupta and S. Sinha, “Academic staff planning, allocation and optimization using genetic algorithm under the framework of fuzzy goal programming,” Procedia Computer Science, vol. 172, pp. 900–905, 2020.
Y. A. Titilias, L. Linawati, and H. A. Parhusip, “optimasi perencanaan produksi kayu lapis pt. xxx menggunakan metode goal programming,” Indonesian Journal of Mathematics and Natural Sciences, vol. 4, no. 1, pp. 13–19, Apr. 2018.
S. Gita, Optimasi perencanaan produksi kopi bubuk dengan metode goal programming berbasis qm for windows. Lampung, Indonesia: UIN Raden Intan Repository, 2018.
A.A. Marine., “optimasi perencanaan produksi dengan metode goal programming di ikm 3g bareng – jombang”, in Jurnal Valtech, 2018. [Online]. Available: https://ejournal.itn.ac.id/index.php/valtech/article/view/57.
F. Syahputra and W. Anggraeni, “Pemilihan supplier menggunakan metode relaxed-normalized goal programming untuk mengoptimalkan proses pengadaan produk (studi kasus: giant ekstra diponegoro surabaya)”, in Jurnal Teknik ITS, Vol 5 No. 1, 2016.
M. K. Zuhanda, S. Suwilo, O. S. Sitompul, and M. Mardingsih, “Goal programming method in optimizing course student admission, operational costs and profits,” Journal Of Informatics And Telecommunication Engineering, vol. 5, no. 2, pp. 286–294, 2022.
A. Wijaya, Pengantar Reset Operasi, Jakarta, Indonesia: Mitra Wacana Media, 2003.
A. Rangkuti, 7 Model Riset Operasi dan Aplikasinya, Surabaya, Indonesia: Brilian Internasional, 2013.
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