Integrating lean six sigma with sensors and IoT monitoring technologies to optimize efficiency in construction projects
Loading...
Date
Authors
Mophethe, Modiehi Mathabo Mirriam
Ayomoh, Michael Kweneojo
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
This research focuses on improving construction project workflow efficiency using a hybrid
scheme of Lean Six Sigma and monitoring sensors. Real-time data and automated monitoring
improve project timeframes by detecting waste and eliminating inefficiencies. The study found that
delays were primarily caused by long lead times, delayed order placements, and job rework. The
sensor-enhanced EOQ model and CiteOps software reduced delays, highlighting the importance of
continuous technology integration for long-term efficiency and sustainability in building projects.
Description
DATA AVAILABILITY STATEMENT: The data that supports this study can be found in the following link:
https://doi.org/10.25403/UPresearchdata.25370374.v1 (accessed on: 29 August 2024).
Paper presented at the 11th International Electronic Conference on Sensors and Applications (ECSA-11), 26–28 November 2024; Available online: https://sciforum.net/event/ecsa-11.
Paper presented at the 11th International Electronic Conference on Sensors and Applications (ECSA-11), 26–28 November 2024; Available online: https://sciforum.net/event/ecsa-11.
Keywords
Lean six sigma, Monitoring systems, IoT sensors, Workflow efficiency, Construction project management, SDG-09: Industry, innovation and infrastructure, Internet of Things (IoT), Economic order quantity (EOQ) model
Sustainable Development Goals
SDG-09: Industry, innovation and infrastructure
Citation
Mophethe, M.; Ayomoh, M. Integrating Lean Six Sigma with
Sensors and IoT Monitoring Technologies to Optimize Efficiency in
Construction Projects. Engineering Proceedings 2024,
82, 43. https://doi.org/10.3390/ecsa-11-20443.