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All Journal Jurnal Teknik Mesin International Journal of Innovation in Mechanical Engineering and Advanced Materials
Febriansyah, Muhammad Zulfahmi
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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Operation Scheduling for Yarn Production with The Autonomous Distributed Manufacturing Systems (ADiMS) Concept Febriansyah, Muhammad Zulfahmi; Setia, Fauzi Aji
Jurnal Teknik Mesin (Journal Of Mechanical Engineering) Vol 14, No 3 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v14i3.33405

Abstract

The textile industry is one of the Indonesian priority industries for the Industry 4.0 development program. There are a lot of textile industries still in the Industry 2.0 phase. These industries need to adopt Industry 4.0 concepts without automating the production operation to compete with their rivals. The digital twin and Autonomous Distributed Manufacturing Systems (ADiMS) concept were used to implement Industry 4.0 in this case. The objective of this research is to develop an operation scheduling system that can distribute the yarn manufacturing scheduling task to each workstation in a virtual production system using the ADiMS concept. Every actual manufacturing component in ADiMS is simulated in a virtual production system to interact with one another and make decisions; then a process-based product model is developed to capture all the conditions from yarn production in real production systems. Each production element is modeled as an object in Python programming. The simulation is set up to have 31 machines that are ready to be used for production scheduling and 2 types of products. The operation scheduling system with the Autonomous Distributed Manufacturing Systems (ADiMS) concept for yarn production has been created and simulated in a virtual environment and shown the operation schedule that fits the desired criteria.
Enhancing Inventory Accuracy through Stock-Taking in Production Monitoring Systems for Workstations Febriansyah, Muhammad Zulfahmi; Raharno, Sri; Setyawan, Harry Prayoga
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.29151

Abstract

Industry 4.0 promotes the use of Cyber-Physical Systems (CPS) to improve production efficiency through seamless data exchange between virtual and physical components. However, in manual labor-driven environments, discrepancies between virtual stock data and actual material usage can create challenges for accurate production monitoring. This study focuses on addressing these discrepancies by integrating a stock-taking method into a production monitoring system. The system was implemented in an air conditioning train car assembly workshop, where differences of 2–3% between the predicted virtual stock and real-world quantities were identified. By applying the stock-taking method, virtual data were recalibrated to reflect real-time stock levels more accurately. The system's ability to track material usage and losses allowed for significant improvements in inventory accuracy, with immediate updates provided to the CPS. This approach minimizes human error in manual operations, ensuring that material predictions are more aligned with actual consumption. The results show that the implementation of the stock-taking method reduced the margin of error in stock predictions, improving overall production decision-making. These findings suggest that this method can enhance stock accuracy in manufacturing sectors, particularly in developing countries where manual labor is predominant. This study provides practical implications for optimizing material management and reducing production costs by leveraging CPS integration with stock-taking methods.
Co-Authors Raharno, Sri Setia, Fauzi Aji Setyawan, Harry Prayoga