INCREASING PRODUCTION CAPACITY WITH THE CUT AND TRY METHOD IN ANDESITE MINING
Abstract
The andesite mining industry in Cilegon needs help in meeting the increasing market demand, especially in the Split 1-2 product, which has an annual production capacity of 349,418 tons compared to the demand of 454,238 tons. This research aims to increase production capacity through the application of the cut-and-try method. This method identifies the optimal solution through repeated experiments on various operational strategies. The analysis uses the Simple Moving Average, Exponential Moving Average, and Mean Absolute Percentage Error (MAPE) approaches for demand forecasting, as well as aggregate planning evaluation, to align capacity with market demand. The results show that the cut-and-try method provides flexibility in adjusting production strategies in real-time, allowing for increased productivity, reduced downtime, and more efficient inventory management. Two production planning scenarios were tested, namely Production Plan 1, with variations in inventory and stock depletion, and Production Plan 2, which uses constant labour and overtime. Of these two scenarios, Production Plan 2 proved to be more cost-effective, with a total expenditure of IDR 1,413,258,340 compared to IDR 2,357,596,694 in Production Plan 1.
Full Text:
PDFReferences
A. Andri and D. Sembiring, “Penerapan Lean Manufacturing Dengan Metode VSM (Value Sream Mapping) untuk Mengurangi Waste Pada Proses Produksi Pt.XYZ,” Faktor Exacta, vol. 11, no. 4, p. 303, Jan. 2019, doi: 10.30998/faktorexacta.v11i4.2888.
R. E. Badi’ah, M. Odelia, and A. Syauqi, “Proses Perencanaan dan Pengendalian Persediaan Bahan Baku Produk Chicken Nugget,” Journal Ekombis Review, vol. 10, pp. 47–58, 2022, doi: 10.37676/ekombis.v10iS1.
M. Debora Br Barus and F. Soufika Thahirah, “NUSANTARA: Jurnal Ilmu Pengetahuan Sosial SISTEM FORECASTING PERENCANAAN PRODUKSI DENGAN METODE SINGLE EKSPONENSIAL SMOOTHING PADA PT. FOOD BEVERAGES INDONESIA 1,” 2022, doi: 10.31604/jips.v9i2.2022.909-920.
F. Irawan, S. Sumijan, and Y. Yuhandri, “Prediksi Tingkat Produksi Buah Kelapa Sawit dengan Metode Single Moving Average,” Jurnal Informasi dan Teknologi, pp. 251–256, Sep. 2021, doi: 10.37034/jidt.v3i4.162.
I. Nabillah and I. Ranggadara, “Mean Absolute Percentage Error untuk Evaluasi Hasil Prediksi Komoditas Laut,” JOINS (Journal of Information System), vol. 5, no. 2, pp. 250–255, Nov. 2020, doi: 10.33633/joins.v5i2.3900.
E. Maulid, “Penerapan Metode Simple Moving Average terhadap Prediksi Transaksi Penjualan,” vol. 7, no. 7, p. 10, 2022, doi: 10.36418/syntax-literate.v7i10.13209.
E. Siswanto, E. Satria Wibawa, and Z. Mustofa, “Implementasi Aplikasi Sistem Peramalan Persedian Barang Menggunakan Metode Single Moving Average Berbasis Web,” vol. 14, no. 2, pp. 224–233, 2021, doi: https://doi.org/10.51903/elkom.v14i2.515.
Y. Utami, D. Vinsensia, and E. Panggabean, “Forecasting Exponential Smoothing untuk Menentukan Jumlah Produksi,” Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI V, vol. 7, no. 1, pp. 154–160, 2024, doi: https://doi.org/10.55338/jikomsi.v7i1.2853.
M. Yasmin Humaira Rahmad, “Forecasting Raw Material Inventory Using Exponential Smoothing and Moving Average,” 2024. doi: DOI 10.26638/ijespg.89.
Y. Dwi Darma, N. Riska Wiyanti, and A. Gunawan, “Comparative Analysis of Arima Model and Exponential Smoothing in Predicting Inventory in Automotive Companies”, doi: 10.33258/birci.v5i1.3707.
I. M. S. A. Kesuma, A. S. B. Nugroho, and A. Aminullah, “Pengaruh Variasi Hidden Layer Terhadap Nilai MAPE Pada Pengembangan Model Estimasi Biaya Menggunakan Artificial Neural Network,” Siklus : Jurnal Teknik Sipil, vol. 9, no. 2, pp. 152–163, Oct. 2023, doi: 10.31849/siklus.v9i2.14221.
E. A. N. Putro, E. Rimawati, and R. T. Vulandari, “Prediksi Penjualan Kertas Menggunakan Metode Double Exponential Smoothing,” Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN), vol. 9, no. 1, p. 60, Apr. 2021, doi: 10.30646/tikomsin.v9i1.548.
N. Chaerunnisa and D. A. Momon, “PERBANDINGAN METODE SINGLE EXPONENTIAL SMOOTHING DAN MOVING AVERAGE PADA PERAMALAN PENJUALAN PRODUK MINYAK GORENG DI PT TUNAS BARU LAMPUNG,” 2021.
Afif Syarifuddin Muflih, Reni Amaranti, and Agus Nana Supena, “Usulan Perencanaan Produksi dengan Pendekatan Material Requirement Planning (MRP),” Jurnal Riset Teknik Industri, pp. 59–68, Jul. 2024, doi: 10.29313/jrti.v4i1.3845.
Inas Ade Zahra et al., “Design of Notohadinegoro Airport Road Access Improvement”.doi: https://doi.org/10.19184/jrsl.v5i1.10903
D. Mega Saputra, S. Juniawan, U. Roysen, S. Ageng Tirtayasa, and J. Raya Palka Km, “Magister Teknik Industri,” Universitas Mercu Buana, Jl. Meruya Selatan, no. 1, 2023, doi: 10.24853/jurtek.15.1.81-86.
P. Abigail Gunawan, L. Gozali, L. Widodo, F. Jusuf Daywin, and C. Olyvia Doaly, “Production Planning and Capacity Control with Demand Forecasting Using Artificial Neural Network (Case Study PT. Dynaplast) for Industry 4.0.” doi: 10.46254/AN11.20210492.
E. A. Gultom, N. Eltivia, and N. I. Riwajanti, “Shares Price Forecasting Using Simple Moving Average Method and Web Scrapping,” Journal of Applied Business, Taxation and Economics Research, vol. 2, no. 3, pp. 288–297, Feb. 2023, doi: 10.54408/jabter.v2i3.164.
R. Wasono, Y. Fitri, and M. Al Haris, “FORECASTING THE NUMBER OF AIRPLANE PASSENGERS USING HOLT WINTER’S EXPONENTIAL SMOOTHING METHOD AND EXTREME LEARNING MACHINE METHOD,” BAREKENG: Jurnal Ilmu Matematika dan Terapan, vol. 18, no. 1, pp. 0427–0436, Mar. 2024, doi: 10.30598/barekengvol18iss1pp0427-0436.
D. Novriyana and F. Marpaung, “Comparison of Single Exponential Smoothing, Naive Model, and SARIMA Methods for Forecasting Rainfall in Medan Perbandingan Metode Single Exponential Smoothing, Naive Model, dan SARIMA untuk Peramalan Curah Hujan Di Kota Medan,” vol. 17, no. 1, pp. 117–128, 2020, doi: 10.20956/jmsk.v%vi%i.10236.
R. Nelfi Yolanda, D. Rahmi, A. Kurniati, S. Yuniati, J. H. Pendidikan Matematika Fakultas Tarbiyah dan Keguruan Universitas Islam Negeri Sultan Syarif Kasim Riau Jl Soebrantas NoKm, and T. Karya Kec Tampan Riau, “Penerapan Metode Triple Exponential Smoothing dalam Peramalan Produksi Buah Nenas di Provinsi Riau,” Jurnal Teknologi dan Manajemen Industri Terapan (JTMIT, vol. 3, no. 1, pp. 1–10, 2024, doi: https://doi.org/10.55826/tmit.v3iI.285.
Refbacks
- There are currently no refbacks.