Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This paper describes a new approach to collect and extrapolate location data for small load carriers (SLCs) as a basis for the simulation of multi-site SLC cycles. The approach enables realistic multi-site SLC cycle simulation studies, which can lead to better de-cisions on cycle parameters, which in turn leads to cost reductions and makes the use of reusable SLCs more attractive. It is based on 3 sub-studies with dif-ferent location technologies to test them for use in SLC cycles. We compare the technologies concerning real-world requirements and use the results of two of these sub-studies to develop our approach for ex-trapolating data. According to our research, such an approach has not yet been applied to multi-site SLC cycles. Our research contributes to SLC management research and location intelligence research.
Recommended Citation
Müller, Jonas; Eberhardt, Lars; Wahyudi, Vincent; Storath, Martin; and Dobhan, Alexander, "Towards an Approach on Location Data Analysis for Reusable Small-load Carriers" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 6.
https://aisel.aisnet.org/hicss-58/li/research/6
Towards an Approach on Location Data Analysis for Reusable Small-load Carriers
Hilton Waikoloa Village, Hawaii
This paper describes a new approach to collect and extrapolate location data for small load carriers (SLCs) as a basis for the simulation of multi-site SLC cycles. The approach enables realistic multi-site SLC cycle simulation studies, which can lead to better de-cisions on cycle parameters, which in turn leads to cost reductions and makes the use of reusable SLCs more attractive. It is based on 3 sub-studies with dif-ferent location technologies to test them for use in SLC cycles. We compare the technologies concerning real-world requirements and use the results of two of these sub-studies to develop our approach for ex-trapolating data. According to our research, such an approach has not yet been applied to multi-site SLC cycles. Our research contributes to SLC management research and location intelligence research.
https://aisel.aisnet.org/hicss-58/li/research/6