Integrating lean six sigma with sensors and IoT monitoring technologies to optimize efficiency in construction projects
| dc.contributor.author | Mophethe, Modiehi Mathabo Mirriam | |
| dc.contributor.author | Ayomoh, Michael Kweneojo | |
| dc.contributor.email | u16005563@tuks.co.za | en_US |
| dc.date.accessioned | 2025-04-16T06:25:15Z | |
| dc.date.available | 2025-04-16T06:25:15Z | |
| dc.date.issued | 2024-11 | |
| dc.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). | en_US |
| dc.description | 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. | en_US |
| dc.description.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. | en_US |
| dc.description.department | Industrial and Systems Engineering | en_US |
| dc.description.sdg | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.description.uri | https://www.mdpi.com/journal/engproc | en_US |
| dc.identifier.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. | en_US |
| dc.identifier.issn | 2673-4591 (online) | |
| dc.identifier.other | 10.3390/ecsa-11-20443 | |
| dc.identifier.uri | http://hdl.handle.net/2263/102123 | |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI | en_US |
| dc.rights | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | en_US |
| dc.subject | Lean six sigma | en_US |
| dc.subject | Monitoring systems | en_US |
| dc.subject | IoT sensors | en_US |
| dc.subject | Workflow efficiency | en_US |
| dc.subject | Construction project management | en_US |
| dc.subject | SDG-09: Industry, innovation and infrastructure | en_US |
| dc.subject | Internet of Things (IoT) | en_US |
| dc.subject | Economic order quantity (EOQ) model | en_US |
| dc.title | Integrating lean six sigma with sensors and IoT monitoring technologies to optimize efficiency in construction projects | en_US |
| dc.type | Article | en_US |