Comparison of MILP and CP models for balancing partially automated assembly lines

Article Engineering, Industrial

Balancing collaborative human-robot assembly lines to optimise cycle time and ergonomic risk

Kathryn E. Stecke et al.

Summary: The study explores the advantages and scheduling constraints of human-robot collaboration in assembly lines, including optimal configurations and the impact of robot mobility on performance.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2022)

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Article Engineering, Industrial

Harmonizing ergonomics and economics of assembly lines using collaborative robots and exoskeletons

Christian Weckenborg et al.

Summary: This article discusses the trade-offs between ergonomic and economic objectives in assembly line balancing, and evaluates the potential of using collaborative robots and exoskeletons to harmonize these conflicting objectives.

JOURNAL OF MANUFACTURING SYSTEMS (2022)

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Article Computer Science, Interdisciplinary Applications

Balancing and scheduling assembly lines with human-robot collaboration tasks

Amir Nourmohammadi et al.

Summary: This study investigates the assembly line balancing problem (ALBP) considering human-robot collaboration (HRC) and proposes a mixed-integer linear programming (MILP) model and a simulated annealing (SA) algorithm with customized solution representation and neighborhood search operators. The results show that allowing multiple humans and robots to collaborate in tasks significantly improves the productivity of the assembly line.

COMPUTERS & OPERATIONS RESEARCH (2022)

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Review Engineering, Industrial

Hybridizations in line balancing problems: A comprehensive review on new trends and formulations

Olga Battaia et al.

Summary: Research indicates that line balancing problems continue to attract attention, with a trend towards hybridizing them with other optimization problems to adapt to volatile markets and seek efficient solutions.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2022)

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Proceedings Paper Automation & Control Systems

Minimising workers' workload in partially automated assembly lines with human-robot collaboration

Imre Dimeny et al.

Summary: The benefits of automation in human-operated assembly lines are well known, but complete automation is not always possible. A combined production system with both manual and automated parts could be the best configuration in such circumstances. MILP models are suggested to evaluate the impact of adding robots to the line on total workers' workload and assist decision makers in finding the optimal line configuration.

IFAC PAPERSONLINE (2022)

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Article Engineering, Industrial

An analysis of task assignment and cycle times when robots are added to human-operated assembly lines, using mathematical programming models

Tamas Koltai et al.

Summary: This paper explores the impact of adding robots to assembly lines and how traditional assembly line balancing models can be modified to determine the optimal number of workstations and cycle time. Mathematical programming models are used to analyze three scenarios: assigning only workers, assigning either a worker or a robot, and assigning both a robot and a worker to specific workstations. The proposed models can assist operations management in making decisions related to assembly line configuration.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2021)

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Review Telecommunications

Human-Robot Collaboration Trends and Safety Aspects: A Systematic Review

Janis Arents et al.

Summary: Study examines the levels of collaboration and safety measures in human-robot collaboration systems. Results show that despite close collaboration between humans and robots, 25% of studies did not implement any safety actions, and more than 50% did not use any standards for addressing safety concerns.

JOURNAL OF SENSOR AND ACTUATOR NETWORKS (2021)

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Editorial Material Computer Science, Interdisciplinary Applications