Inventory Tracking for Unstructured Environments via Probabilistic Reasoning
Workpiece location is critical to efficiently plan actions downstream in manufacturing processes. In labor-intensive heavy industries, like construction and shipbuilding, multiple stakeholders interact, stack and move workpieces in the absence of any system to log such actions. While track-by-detect...
Saved in:
| Main Authors: | Mabaran Rajaraman, Kyle Bannerman, Kenji Shimada |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | Logistics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2305-6290/4/3/16 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Tracking Tagged Inventory in Unstructured Environments Through Probabilistic Dependency Graphs
by: Mabaran Rajaraman, et al.
Published: (2019-09-01) -
Exploring the advent of Medical 4.0: A bibliometric analysis systematic review and technology adoption insights
by: Md Nahid Akhtar, et al.
Published: (2024-03-01) -
The Impact of Inventory Management Innovations on Industry 4.0 Manufacturing Strategies
by: Szabolcs Szentesi, et al.
Published: (2025-01-01) -
Construction 4.0 in the concept of the railway
by: Pavel Krupík
Published: (2022-05-01) -
Expert Estimates of the Potential of AR, VR, BIM and AI Technologies to Support Sustainable Construction 4.0 in Slovak Construction Sector
by: Porubčinová Martina, et al.
Published: (2025-03-01)