Layout of robot cells based on kinematic constraints

Tubaileh, Allan

doi:10.1080/0951192x.2014.961552

Cited by 13 publications

(4 citation statements)

References 16 publications

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“…In the study of layout planning problems, first of all, it is necessary to model the equipment in a production line, and most researchers will use the envelope method for simplification. [11][12] Which IOP Publishing doi:10.1088/1742-6596/2612/1/012005 2 is described as a three-dimensional approach, i.e., using simple and regular geometries such as cubes, spheres, and quadrangles to replace the equipment in a production line (e.g., CNC machines, material tables and conveyor belts, etc.). However, the shape profile of forging equipment is very complex, and there are usually large differences between the dimensions of its platform and the body of the machine.…”

Section: Forging Equipment and Its Hierarchical Representationmentioning

confidence: 99%

Equipment layout modeling method for forging lines based on equipment profile layering method

Zhang,

Yuan,

Ding

et al. 2023

J. Phys.: Conf. Ser.

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Forging equipment is equipped with an access platform with a size that significantly differs from that of the equipment body, so modeling methods such as envelopes and sequence pairs cannot be used to accurately describe the equipment or layout. In this paper, we propose a profile layering method for forging equipment, and establish a model of production line layout by setting a layering level using the Cartesian coordinate system, so as to lay a foundation for the subsequent research on interference detection, layout optimization and trajectory planning for production lines.

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Section: Forging Equipment and Its Hierarchical Representationmentioning

confidence: 99%

Equipment layout modeling method for forging lines based on equipment profile layering method

Zhang,

Yuan,

Ding

et al. 2023

J. Phys.: Conf. Ser.

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“…The optimization aims to ensure that the manipulated workpieces are in or as close as possible to this area. Tubaileh (2014) optimizes the positioning of machines in a robotic cell as well. The goal is to minimize the time the robot needs to reach them in a given order.…”

Section: Positioning Of Robotsmentioning

confidence: 99%

Simulation-based layout optimization for multi-station assembly lines

et al. 2021

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This article presents a novel approach for the automated 3D-layout planning of multi-station assembly lines. The planning method is based on a comprehensive model of the used production resources, including their geometry, kinematic properties, and general characteristics. Different resource types can be included in the planning system. A genetic algorithm generates and optimizes possible layouts for a line. The optimization aims to minimize the line’s area and the costs for assembling the line while simultaneously optimizing the resources’ positioning to perform their tasks. The line’s cycle time is considered as a boundary condition. For the evaluation of different layout alternatives, a multi-body simulation is performed. A parameter study is used to set the algorithm’s parameters. Afterward, the algorithm is applied to three increasingly complex examples to validate and evaluate its functionality. The approach is promising for industrial applications as it allows the integration of various resource types and individualization of the optimization function.

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“…The facility layout problem of robots has been investigated by Kusiak and Heragu (1987), Meller and Gau (1996), Drira, Pierreval, and Hajri-Gabouj (2007), Aly, Abbas, and Megahed (2010) and Tubaileh (2014), but the task planning has not been considered in the problem formulation. The optimisation of a robot workcell has been investigated by Tay and Ngoi (1996), while task planning algorithms for multi-agent teams, including both humans and robots have been investigated by Takata andHirano (2011), Galindo et al (2008) and Tsarouchi, Makris, and Chryssolouris (2016).…”

Section: Introductionmentioning

confidence: 99%

On a human–robot workplace design and task allocation system

Tsarouchi

Michalos

Makris

et al. 2017

International Journal of Computer Integrated Manufacturing

121

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This paper proposes a method for human-robot (HR) task planning, considering at the same time, the design of the workplace. A model for the representation of humans and robots as a team of active resources is proposed, while equipment such as working tables and fixtures are considered passive resources. The HR workload is structured in a three-level model. A multi-criteria decision-making framework is used for the formulation of alternative layouts and task allocations. Both analytical models and simulation are used for the estimation of the criteria values, allowing for the evaluation of the different alternatives. A software prototype has been implemented and tested in white goods and in automotive industry cases, demonstrating that the tool can identify good quality solutions in a short time frame.

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Layout of robot cells based on kinematic constraints

Cited by 13 publications

References 16 publications

Equipment layout modeling method for forging lines based on equipment profile layering method

Equipment layout modeling method for forging lines based on equipment profile layering method

Simulation-based layout optimization for multi-station assembly lines

On a human–robot workplace design and task allocation system

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