LB Lamp Production Planning Based on Fuzzy Logic Approach at PT XYZ
Abstract
Increasingly tight competition in the industrial market encourages companies to optimize production planning to meet customer demand efficiently. Effective production planning is key in achieving this goal, as it guides entities towards achieving their goals appropriately. This research aims to develop a fuzzy method for production planning at PT XYZ, a lamp manufacturing company. This method is designed to assist PT XYZ The approach used in this research includes historical data analysis, forecasting techniques using the time series method, calculating raw material inventory, and applying fuzzy logic to determine optimal production quantities. Based on the results of fuzzy calculations, the production amount for the next period of 7,000 product units can be a suggestion for companies to avoid production shortages and excesses due to uncertainty in product demand.
Keywords
Full Text:
PDFReferences
Adedeji, W. O., Adedeji, K. A., Rajan, J., & Owolabi, O. A. (2023). A Fuzzy-Genetic Modelling Approach to Maintenance Scheduling for the Minimization of Fishing Vessel Idle Time in the Maritime Industry. IJIEM-Indonesian Journal of Industrial Engineering & Management, 4(3), 240–251. https://doi.org/10.22441/ijiem.v4i3.20460
Alfi, R., Harif, M., & Pharmayeni, P. (2022). Penerapan Pengendalian Persediaan Bahan Baku Ban dengan Model Probabilistik dan Sistem Kuantitas Pemesanan Tetap. INVENTORY: Industrial Vocational E-Journal On Agroindustry, 3(1), 33. https://doi.org/10.52759/inventory.v3i1.71
Basriati, M.Sc, S., & Safitri, M.Mat, E. (2021). Penerapan Metode Fuzzy Tsukamoto dalam Menentukan Jumlah Produksi Tahu. Jurnal Sains, Teknologi Dan Industri, 18(1), 120. https://doi.org/10.24014/sitekin.v18i1.11022
Chen, Y., VanderLaan, P. A., & Heher, Y. K. (2021). Using the Model for Improvement and Plan-Do-Study-Act to effect SMART change and advance quality. Cancer Cytopathology, 129(1), 9–14. https://doi.org/10.1002/cncy.22319
Gaspersz, D. V. (2008). Production Planning and Inventory Control Berdasarkan Pendekatan Sistem Terintegrasi MRP II dan JIT Menuju Manufakturing 21. PT Gramedia Pustaka Utama.
Hilman Setiadi, S. N. R. (2020). Penerapan Kebijakan Persediaan Bahan Baku Kain Twist. Jurnal Logistik Bisnis, 10(02). https://ejurnal.ulbi.ac.id/index.php/logistik/article/view/1156%0Ahttps://ejurnal.ulbi.ac.id/index.php/logistik/article/download/1156/767
Marimin, Djatna, T., Suharjito, Hidayat, S., Utama, N. D., Astuti, R., & Martini, S. (2013). Teknik dan Analisis Pengambilan Keputusan Fuzzy dalam Manajemen Rantai Pasok. Percetakan IPB.
Martono, R. V. (2018). Manajemen Operasi: Konsep dan Aplikasi. Salemba Empat.
Mudasir, E. W., Sitorus, S. H., & Ristian, U. (2021). Aplikasi Prediksi Produksi Pakaian Menggunakan Metode Fuzzy Mamdani (Studi Kasus CMS Production). Jurnal Komputer Dan Aplikasi, 09(03).
Rachmawati, N. L., & Lentari, M. (2022). Penerapan Metode Min-Max untuk Minimasi Stockout dan Overstock Persediaan Bahan Baku. Jurnal INTECH Teknik Industri Universitas Serang Raya, 8(2), 143–148. https://doi.org/10.30656/intech.v8i2.4735
Reicita, A. F. (2019). Analisis Perencanaan Produksi Pada PT.Armstrong Industri Indonesia Dengan Metode Forecasting dan Agregat Planning. Jurnal Ilmiah Teknik Industri, 7(3), 160–168.
Santosa, S. H., Hidayat, A. P., & Siskandar, R. (2022). Raw material planning for tapioca flour production based on fuzzy logic approach: a case study. Jurnal Sistem Dan Manajemen Industri, 6(1), 67–76. http://dx.doi.org/10.30656/jsmi.v6i1.4594
Sholehah, R., Marsudi, M., & Budianto, A. G. (2021). Analisis persediaan bahan baku kedelai menggunakan eoq, rop dan safety stock produksi tahu berdasarkan metode forecasting di pt. langgeng. JURNAL JIEOM, 04(02), 53-61. https://ojs.uniska-bjm.ac.id/index.php/jieom/article/view/5884/3322
Triawan, M. (2019). Fuzzy Logic Mamdani to Determine the Number of Tea Production at PTPN VII (Persero). Cogito Smart Journal, 5(1), 66–78. https://doi.org/10.31154/cogito.v5i1.154.66-78
DOI: http://dx.doi.org/10.22441/ijiem.v6i1.26757
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJIEM - Indonesian Journal of Industrial Engineering & Management
Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana
Kampus Menteng - Gedung Tedja Buana, Floor 4th
Jl. Menteng Raya No. 29 Jakarta Pusat- Indonesia
Tlp.: +62 21 31935454 Fax: +62 21 31934474
http://publikasi.mercubuana.ac.id/index.php/ijiem
Email: [email protected]
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The journal is indexed by: