Virtual Reality in Manual Order Picking - Software
| dc.contributor.author | Knigge, Jan-Karl | |
| dc.date.accessioned | 2020-08-26T20:38:25Z | |
| dc.date.available | 2020-08-26T20:38:25Z | |
| dc.date.created | 2020 | |
| dc.date.issued | 2020-08-26 | |
| dc.description | Semi-automated parts-to-picker systems are becoming more popular in order picking, making efficient rack designs for fast searching and picking more important. Virtual reality (VR) using modern head-mounted devices (HMD) is a promising technology for the human-centred planning of order picking at single racks. However, state-of-the-art HMDs come with several limitations. For evaluating the usability of HMDs, it is of interest whether these limitations lead to different workload and measured times in VR compared to a real environment. An experimental setup consisting of a real rack and an equally sized virtual representation (using the HTC Vive HMD) has been developed for a randomized controlled study with 112 participants and 10 professional order pickers. This dataset contains the raw data obtained during the experimental study. - Contains the code of all software used during the experimental study: 1) Order control tool (software used to manually play picking commands, measure order completion times and manually register picking errors and dropped items); 2) Sensor control (Python code run on a Raspberry Pi to control infrared sensors and write timestamps of sensor interruptions into a database); 3) VR Model (Unity model for displaying the VR). | en_US |
| dc.identifier.uri | https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2480 | |
| dc.identifier.uri | https://doi.org/10.25534/tudatalib-317 | |
| dc.rights.license | MIT (https://opensource.org/licenses/MIT) | |
| dc.subject.classification | 1.24-05 | |
| dc.subject.classification | 4.41-04 | |
| dc.subject.classification | 4.41-05 | |
| dc.subject.ddc | 620 | |
| dc.title | Virtual Reality in Manual Order Picking - Software | en_US |
| dc.type | Software | en_US |
| dcterms.accessRights | openAccess | |
| person.identifier.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| tuda.history.classification | Version=2016-2020;112-03 Betriebswirtschaftslehre;407-04 Verkehrs- und Transportsysteme, Logistik, Intelligenter und automatisierter Verkehr;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme; |
Files
Original bundle
1 - 4 of 4
| Name | Description | Size | Format | |
|---|---|---|---|---|
| SensorControl.zip | Code to control infrared sensors (Python) | 145.53 KB | ZIP-Archivdateien | |
| OrderControlTool.zip | Software to manually play order picking commands (Java) | 3.77 MB | ZIP-Archivdateien | |
| ReadMe.txt | Documentation | 1.33 KB | Plain Text | |
| VRModel.zip | VR model (created in Unity version 2018.2) | 167.42 MB | ZIP-Archivdateien |