Open Interfaces for Connecting Automated Guided Vehicles to a Fleet Management System

Quadrini, Walter; Negri, Elisa; Fumagalli, Luca

doi:10.1016/j.promfg.2020.02.055

Cited by 14 publications

(3 citation statements)

References 36 publications

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“…A charging strategy describes the charging process of each individual vehicle at the control system level according to [5,23]. Operating strategies with energy constraints are to be distinguished from charging strategies because they describe strategies on the process control level according to [5,23], where the charging states of the vehicles and the utilization rates of the charging systems impact the behavior regulation of the AGVs. Jodejko-Pietruczuk and Werbi ńska-Wojciechowska [22] presented a multi AGV simulation model for this purpose, where the state of charge (SoC) of the ESS is taken into account.…”

Section: Operating and Charging Strategiesmentioning

confidence: 99%

Energy Requirement Modeling for Automated Guided Vehicles Considering Material Flow and Layout Data

Sperling,

Furmans

2024

Designs

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Saving energy and resources has become increasingly important for industrial applications. Foremost, this requires knowledge about the energy requirement. For this purpose, this paper presents a state-based energy requirement model for mobile robots, e.g., automated guided vehicles or autonomous mobile robots, that determines the energy requirement by integrating the linearized power requirement parameters within each system state of the vehicle. The model and their respective system states were verified using a qualitative process analysis of 25 mobile robots from different manufacturers and validated by comparing simulated data with experimental data. For this purpose, power consumption measurements over 461 operating hours were performed in experiments with two different industrial mobile robots. System components of a mobile robot, which require energy, were classified and their power consumptions were measured individually. The parameters in the study consist of vehicle speed, load-handling duration, load, utilization, material flow and layout data, and charging infrastructure system frequency, yet these varied throughout the experiments. Validation of the model through real experiments shows that, in a 99% confidence interval, the relative deviation in the modeled power requirement for a small-scale vehicle is [−1.86%,−1.14%], whereas, for a mid-scale vehicle, it is [−0.73%,−0.31%]. This sets a benchmark for modeling the energy requirement of mobile robots with multiple influencing factors, allowing for an accurate estimation of the energy requirement of mobile robots.

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Section: Operating and Charging Strategiesmentioning

confidence: 99%

Energy Requirement Modeling for Automated Guided Vehicles Considering Material Flow and Layout Data

Sperling,

Furmans

2024

Designs

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“…Morinaga et al [22], addressing the concept of high-density production systems (HDMS), in which each facility operated electronically and self-regulated by interacting with other facilities and transporting the AGV into a distributed framework. Quadrini et al [23], have suggested open communication channels for connecting AGVs to the Fleet Management System (FMS) to be as compatible with the largest AGV manufacturer / supplier as possible. Gebennini et al [24] presented a framework for the use of imitation tools for AGVs used to transport the finest finishes from the production line to the loading area.…”

Section: Figurementioning

confidence: 99%

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

GUPTA

2023

Gazi University Journal of Science

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“…AGVs have been widely used in manufacturing and supply chain applications for material handling (Zhang et al, 2017). The utilization of AGV in autonomous warehouses for material handling has the potential to improve warehouse efficiency and company competitiveness (Quadrini, 2020). To provide safe and effective movement, AGVs use pattern mapping (Dundar, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Study of AGV Collaboration with IoT Concept to Avoid a Collision at Warehouse Intersection

Muftygendhis¹,

Shiang²,

Hsu³

2022

LOMR

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Technology nowadays is always changing very fast. Automated tools are used to face the advanced technology in the warehouse industry, such as automated guided vehicles (AGV). It becomes a common daily vehicle when working in the warehouse, especially on the shop floor. It means collaboration between AGVs is needed and has become important. This paper suggests how to avoid collisions between AGVs and how to avoid obstacles is a practical problem if two or more AGVs interact with each other. This is a common need that should be addressed. As a result, a more effective system design should be created and implemented. This paper used a three-tier internet of things (IoT) structure to avoid collisions and reduce path deviation to design an AGV collaboration system. The IoT was used to authorize AGVs to communicate with each other by transmitting position messages. In this situation, AGV would be aware of other AGV positions and would decide what to do next. According to the findings, two AGVs can avoid colliding by knowing each other's positions in any path scenario by recognizing obstacles through Light Detection and Ranging (LIDAR) detection. This paper designed an AGV collaboration system using the Robot Operating System (ROS) and conducted an experiment to test its practicality. The experiment simulated a warehouse intersection in the real world. This study used the statistical ANOVA method to identify motion planning parameters concerning final AGV position error values.

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Open Interfaces for Connecting Automated Guided Vehicles to a Fleet Management System

Cited by 14 publications

References 36 publications

Energy Requirement Modeling for Automated Guided Vehicles Considering Material Flow and Layout Data

Energy Requirement Modeling for Automated Guided Vehicles Considering Material Flow and Layout Data

Review on Optimization Techniques for AGV’s Optimization in Flexible Manufacturing System

A Study of AGV Collaboration with IoT Concept to Avoid a Collision at Warehouse Intersection

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