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ANALISIS INTENSITAS CAHAYA DI LABORATORIUM PT X METODE SNI 7062:2019 Syamsi, Wuri Arianty; Setianto, Nasrul; Saepuloh, Asep; Suyono, Annisa Maharani
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 1 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i1.166

Abstract

The health of the physical work environment is a crucial factor that influences employee productivity, comfort and well-being in the workplace. A healthy work environment not only improves work efficiency but also plays a role in reducing the risk of disease and injury. Physical aspects of the work environment, such as lighting, temperature, noise, air quality, and ergonomics, have a direct impact on the physical and mental condition of employees. Working environmental conditions such as heat, noise, lighting, temperature, humidity, vibration and others need to be studied to prevent mental and physical strain on employees. With a good understanding of the health of the work environment, companies can take the right steps to create a healthier and more productive work environment
EFISIENSI BIAYA BAHAN BAKU MENGGUNAKAN METODE MRP UNTUK MEMINIMASI BIAYA INVENTORY DI CV. NUR RAHMAT TEKNIK Juliansyah, Juliansyah; Aryanto, Aryanto; Syamsi, Wuri Arianty; Fauzi, Muchammad
Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 4 No. 2 (2024): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v4i2.255

Abstract

This study aims to analyze the efficiency of raw material inventory management using the Material Requirements Planning (MRP) method to minimize inventory costs in CV. Nur Rahmat Teknik. The company faces the challenges of conventional inventory management, which often leads to excess or shortage of raw materials as well as high storage costs. This research method was carried out using a quantitative method with the data source used being secondary data through historical data of company requests. The MRP method in the study was applied to identify raw material needs based on historical demand data, calculate optimal order schedules, and evaluate their impact on inventory costs. Four forecasting methods were used, namely Double Moving Average, Double Exponential Smoothing from Brown, Double Exponential Smoothing From Holt, and Linear Regression, to determine the forecasting method used and the level of accuracy of predicting raw material needs. The lot sizing techniques used in this MRP method are Economic Order Quantity, Periodic Order Quantity, and Lot for Lot. The results show that the application of the MRP method significantly reduces inventory costs by optimizing the booking lot size and booking schedule. These findings provide valuable insights into more efficient inventory management, improving the company's competitiveness and profitability. Practical recommendations are given for the sustainable implementation of the MRP method in the company's operations