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All Journal The Indonesian Journal of Computer Science
Agnia Hanifah
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Implementasi Algoritma Particle Swarm Optimization pada AS/RS Berbasis Mikrokontroler Arduino Ruminto Subekti; Nur Jamiludin Ramadhan; Agnia Hanifah
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4261

Abstract

Manual warehouse systems in Indonesia cause tracking and storage issues, increasing the risk of damage. Implementing Particle Swarm Optimization (PSO) in Automated Storage and Retrieval Systems (AS/RS) can optimize travel paths, reduce errors, and enhance storage efficiency. Parameters such as particles, iterations, and inertia are applied in this system. This study integrates PSO with Arduino-based AS/RS using the VDI 2206 method, with AS/RS racks designed in a 4x4 matrix. In various case studies, PSO successfully reduced travel distances by 1% to 32% and operational time by 5% to 21%. PSO effectively enhances the operational efficiency of AS/RS by optimizing travel routes, thereby reducing the time needed for storage and retrieval operations. Additionally, it is important to note that the reduction in travel distance is influenced by the initial input addresses without PSO, which might already be near optimal. Thus, while PSO significantly improves efficiency, the extent of reduction can vary based on how close the initial input addresses without PSO are to the optimal route.
Co-Authors Nur Jamiludin Ramadhan Ruminto Subekti