Method for specifying location data requirements for intralogistics applications

First published in
Proceedings of the Conference on Production Systems and Logistics  
Number in series
4
Start Page
97
End Page
106
Article Number
296359
Citation
4th Conference on Production Systems and Logistics, CPSL 2023: 97-106
Contribution to Conference
4th Conference on Production Systems and Logistics, CPSL 2023  
Publisher DOI
10.15488/13429
Scopus ID
2-s2.0-85164446817
Publisher
Publish-Ing in cooperation with TIB - Leibniz Information Centre for Science and Technology University Library
Various applications leverage location data to increase transparency, efficiency, and safety in intralogistics. There are several properties of location data, such as the data’s degrees of freedom, system latency, update rate, or accuracy. To select a suitable indoor localization system, corresponding data requirements must be derived by analyzing the considered application. To date, the dependencies of the system performance and location data requirements have not been satisfactorily described in the literature. Thus, no method exists to adequately derive location data requirements. For intralogistics, such a method is of particular relevance due to the high-cost sensitivity and heterogeneity of partially safety-relevant indoor localization applications. To fill this gap, a method for selecting and quantifying location data requirements for the application in intralogistics is presented in this work, creating substantial added value for warehouse managers and system integrators. The method is based on a spatial model that is built on the premise that location data is used to determine the presence or absence of an entity in a multidimensional interest space. The usage of the method is demonstrated in an exemplary case study for the application of ‘Automated Pallet Booking’.
Subjects
Data requirements
Indoor localization
Intralogistics
Method
Spatial model
DDC Class
004: Computer Sciences
600: Technology