Error Prevention in Manual Order Picking

Abstract

Due to their high flexibility manual order picking systems are widely-used. However, in these picking systems an increased number of picking errors occurs, which can have far-reaching consequences. Therefore at the beginning of the contribution impact and causes of picking errors are examined. The contribution focuses on measures for the avoidance of picking errors. In doing so, a holistic approach is pursued, which includes measures concerning the following activity fields: technology, process, organization and motivation. As an outlook on future technical devices for the prevention of picking errors, research activities concerning the augmented reality based picking system Pick-by-Vision, which combines the major advantages of existing technologies for the provision of information, are presented.