Journal of Engineering and Management in Industrial System
Vol 12, No 1 (2024)

OPTIMIZATION OF FLEET UTILIZATION AND WAITING TIME IN SUPPLY CHAIN AGENT-BASED SIMULATION USING REINFORCEMENT LEARNING

Tama, Ishardita Pambudi (Unknown)
Sujarwo, Sujarwo (Unknown)
Hardiningtyas, Dewi (Unknown)
Nugroho, Willy Satrio (Unknown)

Article Info

Publish Date
21 Jul 2024

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.

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Journal Info
Journal of Engineering and Management in Industrial System
Website

Abbrev

jemis

Publisher

Universitas Brawijaya

Subject

Industrial & Manufacturing Engineering

Description

Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience ...