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All Journal Jurnal Riset danAplikasi Teknik Industri (JRATI) Serambi Engineering
Elfantoro, Indra
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Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Industrial & Manufacturing Engineering

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Peningkatan Kapasitas Mesin Rubber Sheet Calendar Menggunakan Discrete Event Simulation: Studi Kasus di Industri Pengolahan Karet Herdiana, Mochamad Rafi; Elfantoro, Indra; Dewi, Yulida Intani; Kurniawan, Indra
JURNAL RISET DAN APLIKASI TEKNIK INDUSTRI Vol. 3 No. 01 (2025): Volume 03 Issue 01, Agustus 2025
Publisher : Study Program of Industrial Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JRATI.2025.v03.i01.p11

Abstract

Increasing production capacity is one of the key strategies to maintain the competitiveness of tire companies in an increasingly dynamic and competitive market. One of the critical machines in the tire production process is the Rubber Sheet Calender, which currently has a capacity of only 2700 Tires Per Day (TPD). However, based on the sales forecast for 2025, the required production capacity is expected to reach 3000 TPD. This study aims to analyze and enhance the capacity of the Rubber Sheet Calender machine using the Discrete Event Simulation (DES) approach. Data were collected through direct observation, time studies, and interviews with machine operators and production supervisors. A simulation model was developed to represent the actual condition (as-is), and improvement scenarios were tested, including adding labor, increasing buffer capacity, and reducing setup time. The simulation results show that a combination of improvements can significantly increase throughput by increasing machine speed from 4.65 to 6.31 (a 36% increase) and raising production capacity from 3360 to 4962 (a 59% increase). Thus, the improvement recommendations using DES have proven to be an effective decision-support tool for enhancing production capacity.
Inventory Management Optimization of Snack to Minimize Days Sales Inventory (DSI) and Total Cost Dewi, Yulida Intani; Elfantoro, Indra; Herdiana, Mochamad Rafi; Ikatrinasari, Zulfa Fitri
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

This study aims to optimize inventory control for snack products in the retail industry, characterized by highly fluctuating demand and elevated Days Sales Inventory (DSI) levels. Focusing on Class A products with high DSI offers the greatest potential impact on inventory management efficiency. The approach integrates Holt-Winters forecasting, ARIMA (1,1,1), and Random Forest Regression with quantitative models such as Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ), as well as stock control techniques including Safety Stock and Reorder Point, to determine the optimal order quantity and ordering time. Sales data for 21 weeks were processed to generate sales forecasts for the subsequent 31 weeks, covering weeks 22 through 52, using all three forecasting methods. The evaluation metrics indicate that Random Forest Regression achieved the best performance, with a Mean Absolute Error (MAE) of 42.4, Mean Absolute Percentage Error (MAPE) of 13.9%, and a Root Mean Squared Error (RMSE) of 46.7, The results show a significant reduction in DSI and total costs, contributing positively to strengthening the company’s cash flow. Further analysis over the 31-week period using the POQ method resulted in a decrease in DSI from the actual level of 111 days to 71 days, and also reduction in total cost from IDR 14.933.114 to IDR 10.104.863, representing a difference of IDR 4.828.250. In addition to the integrated forecasting and EOQ–POQ methods, it is recommended to enhance the adaptation of dynamic forecasting models that are more responsive to changes in demand patterns and to develop real-time monitoring systems using ERP or IoT technology to minimize the risks of stockouts and product spoilage. This research provides both practical and academic contributions toward achieving more efficient and sustainable inventory management for snack products. 
Co-Authors Dewi, Yulida Intani Herdiana, Mochamad Rafi Indra Kurniawan Zulfa Fitri Ikatrinasari