NIMU
Use of Inertial Data (IMU) to analyze manual order picking

Today, approximately 75% of warehouses are operated manually with more than half of the operational costs being caused by order picking. At the same time, customers demand the highest service quality and cover themselves by contractually agreed penalties for delays and errors. Improving commissioning processes would, therefore, lead to significant reductions in risk and in logistics costs.

One approach to realize such a process improvement is to use smart glasses to support order pickers. Although this is a relatively new technology, there are already some pilot projects and even picking areas completely organised via Pick-by-Vision.

The use of smart glasses, however, not only provides the information required by the order picker via a new medium. There are also many possibilities to analyse the picking task yourself. By recording time stamps for order acceptance, article removal, filing, etc., the individual time components and associated process steps can be recorded. It is also possible to analyse and evaluate the sensor data of the used wearables, such as smart glasses or xBands. This allows identifying certain movement patterns of the order picker which can help to assign him to special picking tasks. Subsequently, the employee's workload can be measured by analysing the movement patterns and strategies that can be adopted to influence them in a targeted manner.

The aim of the project is therefore to record the available data generated during the processing of a picking order and to compare the recorded movement patterns. For this purpose, test persons will process orders in a simulated picking environment. The picking instructions will be provided via smart glasses. A video recording is made to record the transaction data.

Key Data:

Duration: May 2019 to August 2019

Partner: Ubimax GmbH