Abstract
The logistics sector should strive for sustainability alongside productivity by protecting its order pickers’ health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33% compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8% compared to solely time-optimization while significantly reducing health risk.
Highlights
Our lives, work and development are primarily driven by trends, concepts and regional or global policies
Based on the calculation of the overall level of health risks based on Ovako Working Posture Assessment System (OWAS) coding, we got 405 different calculation results for a specific combination of the i-th box and the j-th positions
The percentage of Health Risk Level (HRL) occurrence frequency with very-high health risk is slightly higher in a shorter storage rack (4.2%) than in a longer one (3.2%)
Summary
Work and development are primarily driven by trends, concepts and regional or global policies. In the fields of production and intra-logistics, among the most influential concepts are the lean approach, industry 4.0 and sustainability. In addition to these listed, due to the aging population, the increase in the number of musculoskeletal disorders (MSDs) and, last but not least, the pandemic events, the human factor is slowly coming to the fore. There is a growing need to add at least the aspect of caring for workers’ physical health besides productivity This can be beneficial for the most labor- and time-intensive operations like manual man-to-goods order picking [1,2], which is the central focus of this paper. The storage assignment method is a series of rules determining how items are assigned to storage locations [3]
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