Determining Order Size on Joint Inventory of Single Buyer and Seller With Fuzzy Demand
DOI:
https://doi.org/10.70609/gtech.v9i1.6232Keywords:
Inventory, Buyer, Vendor, Demand, FuzzyAbstract
Every company generally has problems about the company's inventory control system. The ability to meet demand with the right amount, time and location. Common models such as EOQ / EPQ are often used in inventory planning and control. The assumption of using this model requires cost and demand data that must be known and fixed. So that in solving inventory system problems sometimes there is a lack of information about similar data. So the development is needed to adjust to the conditions and industrial environment. One is an integration model between suppliers and buyers that results in lot sizes that minimize total inventory costs. Then it can be done an integration between suppliers and buyers by using fuzzy. This Model is designed to overcome the uncertainty of demand by describing it in the form of triangular fuzzy numbers. The results of the research using this method and involving an iterative approach obtained optimal results where the production quantity was 57,07 units and the delivery frequency was 3 times so that it could minimize the total inventory cost with a total cost of $242,05.
References
Alateeq, M., & Pedrycz, W. (2024). Logic-oriented fuzzy neural networks: A survey. Expert Systems with Applications, 257(June), 125120. https://doi.org/10.1016/j.eswa.2024.125120
Baharuddin, Azari, R., Budiman, H., Saidi, L. O., Somayasa, W., & Mukhsar. (2024). OPTIMALISASI PERSEDIAAN BAHAN BAKU BAGI KELANCARAN PROSES PRODUKSI PADA TOKO ROTI AUFA BAKEERY MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY EOQ. Jurnal Matematika, Komputasi Dan Statistika, 4(April), 558–570. https://doi.org/10.33772/jmks.v4i1.78
Dahda, S., & Andesta, D. (2022). Ukuran Lot yang Ekonomis pada Model Persediaan Integrasi Single vendor dan Single buyer. Matrik : Jurnal Manajemen & Teknik Industri-Produksi, XXIII(1), 65–74. https://doi.org/10.350587/Matrik
Dahdah, S. S. (2018). Aplikasi Teori Himpunan Fuzzy Dalam Penentuan Ukuran Pemesanan Yang Ekonomis. MATRIK (Jurnal Manajemen Dan Teknik), 12(2), 88. https://doi.org/10.30587/matrik.v12i2.395
Davvaz, B., Mukhlash, I., & Soleha, S. (2021). Himpunan Fuzzy dan Rough Sets. Limits: Journal of Mathematics and Its Applications, 18(1), 79. https://doi.org/10.12962/limits.v18i1.7705
Dwi Antoni, I., & Findawati, Y. (2024). Implementasi Logika Fuzzy Untuk Menentukan Jumlah Produksi Roti Menggunakan Metode Tsukamoto. Smatika Jurnal, 14(01), 61–70. https://doi.org/10.32664/smatika.v14i01.1168
Fadila, S. (2022). Aplikasi Ricezzy Untuk Menghitung Irigasi Tanaman Padi Menggunakan Metode Fuzzy Mamdani. JEKIN - Jurnal Teknik Informatika, 2(1), 1–8. https://doi.org/10.58794/jekin.v2i1.88
Handayani, T., Atmam, & Masnur, P. H. (2019). Studi Perkiraan Kebutuhan Energi Listrik Di Kota Dumai Sampai Tahun 2025 Dengan Metoda Fuzzy Logic. SainETIn, 3(2), 42–49. https://doi.org/10.31849/sainetin.v3i2.3038
Jalali Khalil Abadi, Z., & Mansouri, N. (2024). A comprehensive survey on scheduling algorithms using fuzzy systems in distributed evironment. Springer Nature, 57(1), 1–72. https://doi.org/10.1007/s10462-023-10632-y
Maity, S., De, S. K., & Mondal, S. P. (2019). A study of an EOQ model under lock fuzzy environment. Mathematics, 7(1). https://doi.org/10.3390/math7010075
Malik, A. K., & Garg, H. (2021). An Improved Fuzzy Inventory Model Under Two Warehouses. Journal of Artificial Intelligence and Systems, 3(1), 115–129. https://doi.org/10.33969/ais.2021.31008
Mayasari, D. (2021). Analisis Pengendalian Persediaan Bahan Baku Menggunakan Metode Eoq (Economic Order Quantity) Pada Pt. Suryamas Lestari Prima. Bis-A, 10(02), 44–50. https://doi.org/10.55445/bisa.v10i02.10
Muhammad Afdhal, Dhio Saputra, & Wifra Safitri. (2021). Sistem Informasi Prediksi Angka Produksi Pada Nila Cake Berbasis Web Metoda Fuzzy. Jurnal Teknoif Teknik Informatika Institut Teknologi Padang, 9(1), 9–16. https://doi.org/10.21063/jtif.2021.v9.1.9-16
Nasution, A. S., Trihastuti, F., & Irwan, S. E. (2023). Aplikasi Fuzzy Linier Programming dengan Metode Branch and Bound untuk Mengoptimalkan Jumlah Produksi dan Keuntungan Penjualan Roti di Italia Bakery Bandar Lampung. Indonesian Journal of Applied Mathematics, 2(2), 58. https://doi.org/10.35472/indojam.v2i2.1030
Nasution, V. M., & Prakasa, G. (2019). Optimasi Produksi Barang Menggunakan Logika Fuzzy Metode Mamdani. In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism), 18(02). https://doi.org/10.37278/insearch.v18i2.222
Rahmanto, A. F., & Dahda, S. S. (2022). Integrated Inventory Model for Single Vendor Single Buyer Considering the Level of Product Defects. MOTIVECTION: Journal of Mechanical, Electrical and Industrial Engineering, 4(2), 151–160. https://doi.org/10.46574/motivection.v4i2.127
Romadlon, M. F. M., & Dahda, S. S. (2022). Persediaan Bahan Baku Menggunakan Aplikasi Teori Himpunan Fuzzy EOQ Multi Item Pada Perusahaan Kerudung. Jurnal Optimasi Teknik Industri (JOTI), 4(1), 26. https://doi.org/10.30998/joti.v4i1.12024
Singh, M. K. (2021). A fuzzy leakage inventory model with shortage using triangular and trapezoidal fuzzy numbers. Journal of Mathematical and Computational Science, 11(6), 7238–7252. https://doi.org/10.28919/jmcs/6548
Tarhini, H. M. K. Y. J. (2020). An integrated single-vendor multi-buyer production inventory model with transshipments between buyers. International Journal of Production Economics, 225. https://doi.org/10.1016/j.ijpe.2019.107568
Yulianto, A., Suyitno, H., & Mashuri, M. (2012). Aplikasi Fuzzy Linear Programming Dalam Optimalisasi Produksi. Unnes Journal of Mathematics, 1(1), 7–14. https://doi.org/10.15294/ujm.v1i1.602
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