Abstract
Taking a holistic perspective is central in production development, aiming to optimize ergonomics and overall production system performance. Hence, there is a need for tools and methods that can support production companies to identify the production system alternatives that are optimal regarding both ergonomics and production efficiency. The paper presents a devised case study where multi-objective optimization is applied, as a step to towards the development of such an optimization tool. The overall objective in the case study is to find the best order in which an operator performs manual tasks during a workday, considering ergonomics and production system efficiency simultaneously. More specifically, reducing the risk of injury from lifting tasks and improving the throughput are selected as the two optimization objectives. An optimization tool is developed, which communicates with a digital human modelling tool to simulate work tasks and assess ergonomics.
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Acknowledgments
This work has been made possible with the support from ITEA3, in the project MOSIM, and with the support from The Knowledge Foundation and the associated INFINIT research environment at the University of Skövde, within the Virtual Factories – Knowledge-Driven Optimization (VF-KDO) research profile, and by the participating organizations. This support is gratefully acknowledged.
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Pascual, A.I., Högberg, D., Syberfeldt, A., Brolin, E., Hanson, L. (2020). Application of Multi-objective Optimization on Ergonomics in Production – A Case Study. In: Di Nicolantonio, M., Rossi, E., Alexander, T. (eds) Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping. AHFE 2019. Advances in Intelligent Systems and Computing, vol 975. Springer, Cham. https://doi.org/10.1007/978-3-030-20216-3_54
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