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This Author published in this journals
All Journal Jurnal Teknologi IJIES (International Journal of Innovation in Enterprise System)
Winarno
Universitas Singaperbangsa Karawang
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering

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Applying EOQ with Sustainability Metrics in Vaccine Packaging Management Hadi Susanto; Winarno; Alexandra Elizabeth Callistha; Shakira Dwi Purwandari; Naila Davina Aurelia
IJIES (International Journal of Innovation in Enterprise System) Vol 9 No 2 (2025): International Journal of Innovation in Enterprise System
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v9i02.9739

Abstract

Sustainable supply chain management (SSCM) is crucial in vaccine distribution, where poor packaging inventory control lead to excessive waste and carbon emissions. This study applies the classical Economic Order Quantity (EOQ) model to optimize vaccine packaging inventory and evaluates its outcomes using sustainability indicators (packaging waste, emergency shipments, and CO2e). A case study at a major Indonesian vaccine manufacturer shows how EOQ-based planning, followed by sustainability impact assessment, improves operational efficiency while reducing environmental burdens. Rather than embedding environmental variables inside the EOQ formula, sustainability is operationalized as a downstream impact-assessment layer that quantifies the consequences of EOQ decisions. Using historical operational data and standard emission factors, results indicate an estimated ~50% reduction in packaging surplus and ~15% reduction in cold-chain emissions annually when compared with prior practices. These findings position EOQ as a practical decision-support tool that aligns inventory control with SSCM goals in cold-chain logistics.
Raw Material Control of TCC Using MRP with The Implementation of Safety Stock and Forecasting Methods Muhammad Farhan Rusdy Setiawan; Winarno; Wahyudin; Billy Nugraha; Naufal Rabbani Sumitra
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.177-186

Abstract

In the increasingly competitive automotive industry, effective raw material control is essential to achieve cost efficiency, maintain production continuity, and ensure accurate distribution. PT XYZ, an automotive manufacturing company located in Karawang, faces several challenges, including high demand fluctuations, dependence on imported raw materials, and the absence of safety stock calculations, which increase the risk of inventory shortages. This study aims to determine the optimal raw material planning method by integrating demand forecasting and Material Requirement Planning (MRP) using the Lot for Lot (LFL) technique in the production of the KWU-type Timing Chain Cover (TCC). This research employs a quantitative case study approach, with data collected through observation, interviews, documentation, and literature review. Demand forecasting is conducted using Double Exponential Smoothing, Moving Average, and Linear Regression methods. The most accurate forecasting method is then used as an input for preparing the Master Production Schedule (MPS) and MRP. The results indicate that the Linear Regression method provides the highest forecasting accuracy, as indicated by the lowest Mean Squared Error (MSE) value of 2,075,786,061. Furthermore, the implementation of MRP using the Lot for Lot technique combined with safety stock calculations proves effective in reducing the risk of stockouts. This improvement is reflected in the stabilization of inventory levels, such as the water pump bearing component, which previously experienced zero stock conditions and is now maintained at a safety stock level of 37,770 units. In conclusion, the integration of Linear Regression forecasting and Lot for Lot-based MRP enhances planning accuracy, ensures raw material availability, and supports long-term operational efficiency at PT XYZ.
Co-Authors Alexandra Elizabeth Callistha Billy Nugraha Hadi Susanto Muhammad Farhan Rusdy Setiawan Naila Davina Aurelia Naufal Rabbani Sumitra Shakira Dwi Purwandari Wahyudin Wahyudin