The Collaboration of Human-Robot in Mixed-Model Four-Sided Assembly Line Balancing Problem

Rabbani, Masoud; Behbahan, Seyedeh Zeinab Beladian; Farrokhi-Asl, Hamed

doi:10.1007/s10846-020-01177-1

Cited by 27 publications

(2 citation statements)

References 29 publications

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“…As a matter of fact, collaborative solutions for assembly lines could enhance not only process efficiency and flexibility, by combining human dexterity and cognitive capabilities with robot repetitiveness, but also reduce workers' physical effort, thanks to the robot support in heavy component handling [38][39][40][41][42]. Some assembly line balancing studies developed in the field propose the optimization of cost-related [43,44] and time-related aspects [45,46], while few others include ergonomic considerations [47,48].…”

Section: State Of the Art And Motivations Of The Workmentioning

confidence: 99%

Job rotation and human–robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm

Mura

Dini

2021

Int J Adv Manuf Technol

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Currently, the largest percentage of the employed workforce in the manufacturing industry is involved in the assembly process, making ergonomics a key factor when dealing with assembly-related problems. During these processes, repetitive tasks and heavy component handling are frequent for workers, who may result overloaded from an energetic point of view, thus affecting several aspects not only relating to the human factor but also to potentially reduced productivity. Different organizational strategies and technological solutions could be adopted to overcome these drawbacks. For these purposes, the present paper proposes a genetic algorithm for solving the typical problem of assembly line balancing, taking into account job rotation and human–robot collaboration for enhancing ergonomics of workers. The objectives of the problem are related to both economic aspects and human factor: (i) the cost for implementing the assembly line is minimized, evaluated on the basis of the number of workers and differentiated by skill levels and on equipment installed on workstations, including collaborative robots, and (ii) the energy load variance among workers is also minimized, so as to smooth their energy expenditure in performing the assigned assembly operations, calculated according to their movements, physiological characteristics, job rotations and degree of collaboration with robots. The paper finally presents and discusses the application of the developed tool to an industrial assembly case.

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Section: State Of the Art And Motivations Of The Workmentioning

confidence: 99%

Job rotation and human–robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm

Mura

Dini

2021

Int J Adv Manuf Technol

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“…More recently,Çil et al (2020) formulated the mixed-model ALBP with physical human-robot collaboration, which solves the small-size instance optimally. They also develop the improved bee algorithm and artificial bee colony algorithm to tackle the large-size instance efficiently Rabbani et al (2020). considered the human-robot collaboration in mixed-model four-sided ALBP.…”

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confidence: 99%

Models and algorithms for U-shaped assembly line balancing problem with collaborative robots

Janardhanan

Tang

et al. 2022

Preprint

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The collaborative robot (cobot) are increasingly being utilized in industries due to the advancement in the field of robotic technology and also due the increase in labor costs. The cobots on the assembly line can be utilized to complete the tasks independently or assist the workers to complete the tasks. This study considers the U-shaped assembly line balancing problem with cobots, where several cobots with different purchasing costs are selected under the budget constraint. Three mixed-integer programming models are formulated to optimize the cycle time and the built models are capable of solving the small-sized instances optimally. Two algorithms, artificial bee colony algorithm and migrating bird optimization algorithm are developed and improved to tackle the large-sized instances, where new encoding scheme and decoding procedure are developed for this new problem. The computational tests demonstrate that the utilization of collaborative robots reduces the cycle time effectively in the assembly line. The comparative study on a set of instances shows that the proposed methodologies obtain competing performance in comparison with other 12 implemented algorithms.

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Exploring Simulation as a Tool for Evaluation of Automation Assisted Assembly of Customized Products

Rao

Johansen

Ashourpour

2021

Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems

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The Collaboration of Human-Robot in Mixed-Model Four-Sided Assembly Line Balancing Problem

Cited by 27 publications

References 29 publications

Job rotation and human–robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm

Job rotation and human–robot collaboration for enhancing ergonomics in assembly lines by a genetic algorithm

Models and algorithms for U-shaped assembly line balancing problem with collaborative robots

Exploring Simulation as a Tool for Evaluation of Automation Assisted Assembly of Customized Products

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