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All Journal Journal of Engineering and Management in Industrial System
Salsabila, Dhia Naqqiya
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Industrial & Manufacturing Engineering

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OPTIMIZATION OF FLEET UTILIZATION AND WAITING TIME IN SUPPLY CHAIN AGENT-BASED SIMULATION USING REINFORCEMENT LEARNING Tama, Ishardita Pambudi; Sujarwo, Sujarwo; Hardiningtyas, Dewi; Nugroho, Willy Satrio; Salsabila, Dhia Naqqiya
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Inventory to transport transition was a critical operation that requires high efficiency in manufacturing. This study models the inventory transition of manufacturing plants in a supply chain network. The objective was to configure the minimum fleet utilization with fastest waiting time.  The configuration was performed using reinforcement learning assisted agent-based model (ABM) simulation. The ABM with fleet speed control have the best performance with average waiting time of 5.84 hours with lowest fleet utilization which surpasses other models. Lower fleet and waiting time provide rest periods for the driver. Therefore, performing speed control during transport improves human factor of the supply chain operation.
Co-Authors Dewi Hardiningtyas Ishardita Pambudi Tama Sujarwo Sujarwo Willy Satrio Nugroho