Penyusunan Rencana Persediaan dan Perkiraan Kebutuhan Kapasitas Jangka Panjang di PT.X

Authors

  • Nita Marikena Universitas Potensi Utama
  • Yuli Setiawannie Universitas Potensi Utama

DOI:

https://doi.org/10.55123/insologi.v2i1.1414

Keywords:

Demand, Aggregate Production, Resource Planning, Resource Billing

Abstract

Production capacity planning is part of operations management that is realistic and applicable, so estimates of production capacity originating from forecasting consumer demand for these products must be known in advance so that companies can use resources effectively, in terms of quantity, time, and costs used for the production process. PT. X is a company that produces products in two groups, namely Product Group-I and Product Group-II. Product Group-I consists of two types of products, namely Product A and Product B, while Product Group-II consists of Product C and Product D. The Company is still experiencing difficulties in meeting consumer demand for these two product groups for the long term. This study aims to determine the total estimated consumer demand for two product groups within one year and the number of production machines needed to optimize the production process. Based on the results of calculations and analysis, the total estimated demand for Product Group-I for 12 months is 2216 units with a production time of 1520 hours. Meanwhile, the total estimated demand for Product Group-II for 12 months is 2,896 units with a production time of 1,709 hours. To meet consumer demand, PT. X must provide 2 units of production machines that are operated in parallel.

Downloads

Download data is not yet available.

References

Fahimnia, B. (2018). Integrating Human Judgement into Quantitative Forecasting Methods: A Review. Omega. doi:https://doi.org/10.1016/j.omega.2018.07.012

Feizabadi, J. (2020). Machine Learning Demand Forecasting And Supply Chain Performance. International Journal of Logistics Research and, 25(2). doi:https://doi.org/10.1080/13675567.2020.1803246

Indrawan, Surya; Suarlin, John; , Sirlyana. (2022). Penerapan Peramalan Produksi Produk Semen Di PT XYZ Guna Memenuhi Permintaan Konsumen. Jurnal ARTI, 17(1), 91-97.

Lawi, Ansarullah; Gunawan, Jeri. (2022, Agustus). Analisis Kapasitas Produksi Pada Lini Produksi Baru Dengan Pendekatan Rough Cut Capacity Planning. Manajemen Rekayasa dan Inovasi Bisnis, 1(1), 62-74.

Liliyen, Dicky; Hernawati, Tri; Harahap, Bonar. (2020, Mei). Perencanaan Kapasitas Produksi Teh Hitam Menggunakan Metode Rough Cut Capacity Planning Di Pt. Perkebunan Nusantara IV Unit Kebun Tobasari. Buletin Utama Teknik, 15(3).

Meirizha, St Nova; , Ardiansyah. (2017, Juni). Analisis Kelayakan Kapasitas Produksi dengan Metode RCCP (Studi Kasus PT. Sewangi Sejati Luhur). Surya Teknika, 5(1), 49-54.

Oktarini, Devie; Pratiwi, Irnanda; Utami, PutriOktariya. (2017, Oktober). Perencanaan Pengendalian Produksi Dan Persediaan Pada Industri Karetpt Melania Indonesia. Integrasi, 2(2), 16-24.

Sari, Santika,dkk. (2022, Agustus). Analisis Metode Agregat Planning untuk Minimasi Biaya pada UMKM Makmur Jaya-Jakarta. Jurnal Teknik, 11(02), 59-68. doi:http://jurnal.umt.ac.id/index.php/jt/index

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: PT. Alfabet.

Wijayanti, Erik; Rosydi, Khafidz. (2019). Peramalan Permintaan Dengan Pendekatan Time Series Dan Perencanaan Produksi Agregat. Journal Knowledge Industrial Engineering (JKIE), 06(02), 75-80. doi:http://jurnal.yudharta.ac.id/v2/index.php/jkie

Zhang, Bin; , et.al;. (2021). Research on Long Short-Term Decision-Making System for Excavator Market Demand Forecasting Based on Improved Support Vector Machine. Applied Science, 11(14). doi:https://doi.org/10.3390/app11146367

I. Solikhin, M. Sobri, and R. Saputra, “Sistem Informasi Pendataan Pengunjung Perpustakaan,” J. Ilm. Betrik, vol. 9, no. 03, pp. 140–151, 2018.

S. Muddin, A. Haslindah, R. Manatha, and S. Sartika, “Sistem Informasi Perpustakaan Pada Universitas Islam Makassar Berbasis Web,” ILTEK J. Teknol., vol. 15, no. 01, pp. 13–16, 2020, doi: 10.47398/iltek.v15i01.501.

Downloads

Published

2023-02-28

How to Cite

Nita Marikena, & Yuli Setiawannie. (2023). Penyusunan Rencana Persediaan dan Perkiraan Kebutuhan Kapasitas Jangka Panjang di PT.X. INSOLOGI: Jurnal Sains Dan Teknologi, 2(1), 109–118. https://doi.org/10.55123/insologi.v2i1.1414

Issue

Vol. 2 No. 1 (2023): Februari 2023

Section

Articles

License

Copyright (c) 2023 Nita Marikena, Yuli Setiawannie

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Hak cipta pada setiap artikel adalah milik penulis.
Penulis mengakui bahwa INSOLOGI (Jurnal Sains dan Teknologi) sebagai publisher yang mempublikasikan pertama kali dengan lisensi Creative Commons Attribution 4.0 International License.
Penulis dapat memasukan tulisan secara terpisah, mengatur distribusi non-ekskulif dari naskah yang telah terbit di jurnal ini kedalam versi yang lain, seperti: dikirim ke respository institusi penulis, publikasi kedalam buku, dan lain-lain. Dengan mengakui bahwa naskah telah terbit pertama kali pada INSOLOGI (Jurnal Sains dan Teknologi).