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Peramalan Jumlah Kebutuhan Packaging Papper Photocopy (PPC) PT. Y Menggunakan Metode Moving Avarage dan Exponential Smoothing Albani, Nabila Tiara; Wahyudin, Wahyudin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 3 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i3.1222

Abstract

In the era of globalization, industry and trade in Indonesia face fierce competition. Technological advances require quality human resources from formal and non-formal educational institutions with supporting facilities. This research focuses on solving safety stock problems using the Exponential Smoothing and Moving Average methods. Due to the current changing market demand, the results of data processing carried out using the Quality Management (QM) program for Windows show that the forecasting method with the Moving Average approach has the highest Mean Absolute Percentage Error (MAPE) value of 16.03%, while the Exponential Smoothing method has a MAPE value of 13.7%. So with this, the lowest MAPE value is in the forecasting method with the Exponential Smoothing approach of 13.7%. Keywords: Demand Forecasting, Exponential Smoothing Method, Moving Average Method, MAPE, Safety Stock
Usulan Perbaikan Tata Letak Kerja Proses Produksi Lempengan Paku Bumi menggunakan simulasi Promodel (Studi Kasus: PT GCE) Prastiyo, Muhammad Rizky; Sahroni, Nur; Rizky, Muhammad; Albani, Nabila Tiara
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i4.1555

Abstract

Increasingly tight competition in the business world encourages organizations to improve the quality of their output. PT GCE, a manufacturing company in the Sheet Metal industry, with output based on employment. In the manufacturing process various obstacles often arise which result in delays in the processing time. To address these issues, they use computer simulations, primarily ProModel, to identify and overcome bottlenecks in resource utilization, production capacity, and inventory levels. This research focuses on PT GCE and queuing problems caused by several production processes, with the author analyzing the use of ProModel to improve production systems and increase performance. As a result of this research, the author made improvements to the production process system in order to increase performance, which can be done by increasing the number of employees or operators on machines where there is a buildup of goods, combining the Welding and Fit Up processes in order to optimize production time and areas as well as bringing work stations closer together with related processes and optimize operator performance so there is no waiting time. Keywords: Computer Simulation, Factory Layout, ProModel