“Data-Driven Production Planning and Control using Work Density for On-Site Building Construction”

Publication available at: https://escholarship.org/uc/item/2zt8g73j#main

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In this research, I developed a comprehensive Data-Driven Production Framework (DDPF) to address key challenges in adopting location-based production planning and control methods in construction. With projects' increasing complexity, traditional systems often struggle to manage variability. The DDPF leverages real-time data and work density metrics to improve decision-making, predict workloads, and enhance productivity.

Data-Driven Production Framework (DDPF) and data processing procedure for control and production, respectively.

Thanks to StructionSite and DroneDeploy for partnering in this research by providing computing and access to their platform and data to capture progress on-site. This data was instrumental in feeding into my framework for near real-time production control based on visual work detection. I am deeply grateful to my colleagues at Berkeley, and numerous institutions I’ve had the opportunity to collaborate with, as well as the general contractors who shared their insights and provided access to their projects, helping me iteratively develop practical tools for real-world applications.

Throughout my PhD, I’ve spent a lot of time exploring, researching, and organizing knowledge in fields such as lean construction, data analysis, machine learning, construction technology, and pedagogy. Beyond what is published in my dissertation, I’ve developed tools and resources that I will be sharing on my website soon. I don’t want others to spend years accumulating this knowledge from scratch, so I’ll be making these resources easily accessible for those looking to build on the existing foundations.

💻 Code and data available opensource @https://github.com/visheshvs/DDPF-Data-Driven-Production-Framework

🛒order on ProQuest

To Cite

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Singh, V. V. 2024. “Data-Driven Production Planning and Control using Work Density for On-Site Building Construction.” Ph.D. Dissertation, Civil and Environmental Engineering Department, University of California Berkeley. Available from Dissertations & Theses @ University of California; ProQuest Dissertations & Theses Global. (3111086031). Retrieved from https://escholarship.org/uc/item/2zt8g73j.

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📄Related Publications

Ordered chronologically

Singh, V. V., and Tommelein, I. D. 2023. “Visual Workload Leveling and Zoning Using Work Density Method for Construction Process Planning.” Journal of Construction Engineering and Management, 149(10), doi.org/10.1061/JCEMD4.COENG-13377.
Singh, V. V., and Tommelein, I. D. 2023. “Workload Leveling Metrics for Location-Based Process Design.” In: Proc. 31st Annual Conference of the International Group for Lean Construction (IGLC). Lille, France. doi.org/10.24928/2023/0244. [ResearchGate]
Tommelein, I. D., Singh, V. V. , Coelho, R. V. , and Lehtovaara, J. 2022. "So Many Flows!" In: Proc., 30th Ann. Conf. Int. Group for Lean Constr., Edmonton, Canada. 878-889. doi.org/10.24928/2022/0199. [ResearchGate]
Formoso Et Al. 2021. “Slack in Construction - Part 1: Core Concepts.” In: Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru. 187-196. doi.org/10.24928/2021/0183. [ResearchGate]
Saurin Et Al. 2021, “Slack in Construction - Part 2: Practical Applications.” In: Proc. 29th Annual Conference of the International Group for Lean Construction (IGLC). Lima, Peru. 197-206. doi.org/10.24928/2021/0178. [ResearchGate]
Singh, V. V., Tommelein, I. D., and Bardaweel, L. 2020, “Visual Tool for Workload Leveling Using the Work Density Method for Takt Planning.” In: Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC). Berkeley, CA. 865-876. doi.org/10.24928/2020/0061. [ResearchGate]
Singh, V. V. 2020. “Improvements in Workload Leveling and Work Structuring for Takt Planning Using Work Density Method.” M.S. Indep. Study Report (unpublished), Engineering and Project Management Program, UC Berkeley, CA, 53.