Ergonomic parameters considering physical workload for optimization models in manual order picking
Authors: Tim Steinebach, Jurij Wakula, Heiko Diefenbach, Christoph Glock, Eric Grosse
Abstract: Order picking is a crucial contributor to corporate success within the value chain of companies. However, due to the high proportion of manual work, there is a risk of employees developing musculoskeletal disorders. In order to reduce this risk, it is vital to take ergonomics in planning concepts for order picking into account. For this purpose, ergonomic parameters are derived for picking from shelves and pallets in this paper on the basis of the EAWS screening method. The results are supported by data on postures and working conditions from practical surveys in four companies. The ergonomic parameters can subsequently be used in optimization models for order picking.
Keywords: order picking, physical workload assessment, EAWS, warehouse, optimization
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