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Tray Inventory Control In Considering Production Planning Using Fuzzy Logic Mamdani Method


Pengendalian Persediaan Tray Dalam Mempertimbangkan Perencanaan Produksi Menggunakan Metode Fuzzy Logic Mamdani

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DOI:

https://doi.org/10.21070/ups.6868

Keywords:

Fuzzy Logic, Fuzzy Logic Mamdani, Inventory control

Abstract

The importance of inventory control in maintaining the smooth operation of the company so that the company's targets can be achieved. tray companies experience problems of accumulation of goods up to 19% and high storage costs due to the uncertainty of unstable demand. This research aims to optimise inventory to prevent excess and shortage of stock so that potential losses can be minimised. The fuzzy mamdani method is used to overcome uncertainty in data and can make more accurate decisions. From the results of the calculation, the optimal inventory is 3282 compared to the initial inventory of 3788, while the number of requests is 3190. Although there is an error rate of 25.83575%, this result is categorised as quite good in determining the amount of inventory that matches demand, as well as achieving the company's goal of achieving plans and targets more efficiently.

 

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References

A. Wahid and M. Munir, “Economic Order Quantity Istimewa pada Industri Krupuk ‘ Istimewa ’ Bangil,” vol. 02, pp. 1–8, 2020.

R. D. Yudianingrum, “Penentuan Persediaan Optimal Packing Material Menggunakan Metode Fis Mamdani Pada Perusahaan Tekstil Di Jawa Tengah,” J. Ilm. Tek. Ind., vol. 8, no. 3, p. 194, 2020, doi: 10.24912/jitiuntar.v8i3.7653.

R. Hany, N. Khairani, and U. N. Medan, “Perencanaan Kebijakan Persediaan Vaksin Booster Dengan Metode Continuous Review ( , ) Untuk Mengurangi Overstock Di Rumah Sakit Tentara Kota Pematangsiantar,” 2023.

M. F. Rahman and F. Yanti, “Aplikasi Logika Fuzzy Dalam Optimisasi Produksi Mebel Menggunakan Metode Mamdani,” vol. 1, no. 3, pp. 172–181, 2023.

A. Nisa and K. Harefa, “Penerapan Metode Fuzzy Inference System Untuk Memprediksi Jumlah Pembelian Stok Barang (Studi Kasus: Toko Yanto Grosir),” J. Ilmu Komput. dan Pendidik., vol. 1, no. 4, pp. 939–953, 2023, [Online]. Available: https://journal.mediapublikasi.id/index.php/logic

S. Maryam, E. Bu, and E. Hatmi, “Penerapan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto Dalam Menentukan Harga Mobil Bekas,” vol. 1, no. 1, pp. 10–14, 2021.

S. N. Putri and D. R. S. Saputro, “Construction fuzzy logic with curve shoulder in inference system mamdani,” J. Phys. Conf. Ser., vol. 1776, no. 1, 2021, doi: 10.1088/1742-6596/1776/1/012060.

M. A. Firdiansyah and B. I. Putra, “Application Of Optimization Of Sunco Cooking Oil Planning In Alfamidi Minimarket Using Tsukamoto Method Penerapan Optimasi Perencanaan Persediaan Minyak Goreng Sunco Di Minimarket Alfamidi Menggunakan Metode Tsukamoto,” vol. 1, no. 2, 2021.

R. T. Subagio, P. Sokibi, and R. R. Hartoyo, “Sistem Pendukung Keputusan Pemberian Bonus Karyawan Menggunakan Metode Fuzzy Logic (Studi Kasus: Pt. Jaya Raya),” J. Digit, vol. 9, no. 1, p. 71, 2019, doi: 10.51920/jd.v9i1.134.

R. N. Al-faruq et al., “Prediksi produksi rokok klobot menggunakan metode logika fuzzy mamdani,” pp. 1–7, 2023.

D. Farhan and F. Sulianta, “Implementation of Fuzzy Tsukamoto Logic To Determine the Number of Seeds Koi Fish in the Sukamanah Cianjur Farmer`S Group,” J. Tek. Inform., vol. 4, no. 1, pp. 187–198, 2023, doi: 10.52436/1.jutif.2023.4.1.477.

M. Dary Daffa Haque, “Penerapan Logika Fuzzy Mamdani Untuk Optimasi Persediaan Stok Makanan Hewan,” Media Online), vol. 4, no. 1, pp. 427–437, 2023, doi: 10.30865/klik.v4i1.1160.

“View of Sistem Pemberian Nutrisi Pada Tanaman Hidroponik Menggunakan Metode Fuzzy Berbasis Arduino.pdf.”

D. N. Atika and T. Sukmono, “Analysis Of Inventory Control Panel On Demand Using Fuzzy Inventory Control Method Analisa Pengendalian Persediaan Panel Terhadap Permintaan Menggunakan Metode Fuzzy Inventory Control,” pp. 1–12.

R. Septiani and I. G. Waluyo, “Rancang Bangun Sistem Deteksi Titik Kebakaran Dengan Metode Fuzzy Logic Berbasis Iot Pada Mts Al-Dzikri,” OKTAL J. Ilmu Komput. dan …, vol. 2, no. 2, pp. 450–459, 2023, [Online]. Available: https://journal.mediapublikasi.id/index.php/oktal/article/view/1065%0Ahttps://journal.mediapublikasi.id/index.php/oktal/article/download/1065/943

L. F. Narulita and Q. I. Ahmad, “Penerapan Metode Fuzzy Mamdani Dalam Rancang Bangun Sistem Informasi Prediksi Produksi Barang,” vol. 2, no. 1, pp. 1016–1026, 2024.

Posted

2025-01-06