Application of Multi-objective Optimization on Ergonomics in Production – A Case Study

Pascual, Aitor Iriondo; Högberg, Dan; Syberfeldt, Anna; Brolin, Erik; Hanson, Lars

doi:10.1007/978-3-030-20216-3_54

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…A new design was introduced to increase productivity while keeping ergonomic evaluation values below widely used limits. Pascual et al 17 developed optimization approach which focused on both ergonomics and production efficiency to determine the ideal order for an operator to do manual activities throughout a day.…”

Section: Workplace Design and Lower Back Injury Preventionmentioning

confidence: 99%

“…Optimization has been used for a long time for DHM 10–14 to create different workplace scenarios and find the best design where the motion and load are predicted. 15–17 When the workplace parameters are known, such as box weight, height from which the box needs to be picked up and where it needs to be placed, this information could be used in the design of new workplaces using DHM software, for example, Jack 18 or Santos. 19 They also have wide applications in ergonomic safety design and biomechanics analysis that prevents lower back injury.…”

Section: Introductionmentioning

confidence: 99%

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Optimization-based biomechanical lifting models for manual material handling: A comprehensive review

Zaman

Arefeen

Quarnstrom

et al. 2022

Proc Inst Mech Eng H

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Lifting is a main task for manual material handling (MMH), and it is also associated with lower back pain. There are many studies in the literature on predicting lifting strategies, optimizing lifting motions, and reducing lower back injury risks. This survey focuses on optimization-based biomechanical lifting models for MMH. The models can be classified as two-dimensional and three-dimensional models, as well as skeletal and musculoskeletal models. The optimization formulations for lifting simulations with various cost functions and constraints are reviewed. The corresponding equations of motion and sensitivity analysis are briefly summarized. Different optimization algorithms are utilized to solve the lifting optimization problem, such as sequential quadratic programming, genetic algorithm, and particle swarm optimization. Finally, the applications of the optimization-based lifting models to digital human modeling which refers to modeling and simulation of humans in a virtual environment, back injury prevention, and ergonomic safety design are summarized.

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Section: Workplace Design and Lower Back Injury Preventionmentioning

confidence: 99%