Planning a Material Replenishment Through Autonomous Mobile Robot in an Assembly Plant Using a Hybrid Simulation Approach

This paper focuses on planning the implementation of an autonomous mobile robot in an existing material replenishment system of an assembly plant using a hybrid simulation approach. In this research, we aim to identify proper strategies for the number of containers or payloads the robot should carry per shift under different scenarios using Agent-Based Modeling and Discrete Event Simulation. Our primary objective is to minimize the number of shifts a mobile robot should travel for replenishment while keeping idle time low across all stations and ensuring timely material replenishment. The results show that choosing which strategy to use for the implementation of the autonomous navigating robot depends on the maximum number of containers it can carry and the utilization of payload space. While this paper focuses on Tiger Motors Assembly line at Auburn University, its applications could be extended to similar assembly plants equipped with a similar material replenishment system.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838769
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Planning a Material Replenishment Through Autonomous Mobile Robot in an Assembly Plant Using a Hybrid Simulation Approach

Konstantinos Mykoniatis, E.V. Hungerford, Rupesh Bade Shrestha
1 citations
Advanced Manufacturing and Logistics Optimization
0.35
article

Planning a Material Replenishment Through Autonomous Mobile Robot in an Assembly Plant Using a Hybrid Simulation Approach

Konstantinos Mykoniatis, E.V. Hungerford, Rupesh Bade Shrestha
article en
1 citations

Abstract

This paper focuses on planning the implementation of an autonomous mobile robot in an existing material replenishment system of an assembly plant using a hybrid simulation approach. In this research, we aim to identify proper strategies for the number of containers or payloads the robot should carry per shift under different scenarios using Agent-Based Modeling and Discrete Event Simulation. Our primary objective is to minimize the number of shifts a mobile robot should travel for replenishment while keeping idle time low across all stations and ensuring timely material replenishment. The results show that choosing which strategy to use for the implementation of the autonomous navigating robot depends on the maximum number of containers it can carry and the utilization of payload space. While this paper focuses on Tiger Motors Assembly line at Auburn University, its applications could be extended to similar assembly plants equipped with a similar material replenishment system.

Auburn University (US)
Openalex Percentile: Top 31%
Advanced Manufacturing and Logistics Optimization
0.35
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Planning a Material Replenishment Through Autonomous Mobile Robot in an Assembly Plant Using a Hybrid Simulation Approach — Konstantinos Mykoniatis, E.V. Hungerford, et al. · (2024) | TGRS Research Map | TGRS