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Research Report · Report 3 in Volume 1 · 2026

Schedule Duration and Labor-Curve Outcomes

Brian Lines, Ibilola Ogundare, Rebecca Kassa, Jake Smithwick, Kenneth Sullivan

This report uses day-by-day labor records from 18 construction projects built with a multiskilled labor strategy to estimate what would have happened if each worker had been limited to one trade: how much longer the same work would have taken with the same crew, or how many workers would have had to be added to keep the same schedule.

Schedule Duration and Labor-Curve Outcomes report cover

Study at a Glance: Labor Records from 18 Multiskilled Projects

28% to 62%more workdays to finish the same work if each worker were limited to one trade
31 to 34added workers per 100 core workers on the peak-demand day to keep the same schedule
73%of workdays with a trade gap in at least one trade
18project records from 11 contractors, covering 89,620 labor hours

About This Report

Construction projects need different trades at different stages of the work. A project can have enough workers overall and still be short in one trade on a given day. If each worker can work in only one trade, spare hours cannot move to the trade that is short, even when the workers are qualified to do that work. The contractor then has two practical choices: keep the crew and take longer, or keep the schedule and add workers.

The 18 projects in this report were built by contractors using a multiskilled labor strategy, in which qualified workers moved between trades as the work progressed. Their labor records show the hours each worker recorded in each trade on each workday. The analysis focused on each project's core crew: 183 workers who recorded 10,194 core-worker days and about 89,620 hours, about 17% of them multiskilling hours.

The report has three objectives:

Describe the recorded multiskilling: the share of hours workers spent outside their primary trade and the trade combinations they used
Estimate the effect on schedule: how many more workdays the same work would take with the same crew
Estimate the effect on staffing and the labor curve: how many workers would have to be added on an average day, a high-demand day, and a peak-demand day, and how much higher peak staffing would be

Report Details

SeriesMultiskilling in the U.S. Construction Industry
VolumeVolume 1: Evidence on Project Performance
ReportReport 3 of 6
FormatPDF · 51 pages
Published2026 · Simplar Foundation
DOI10.22361/vf3qybkgbd
ISBN979-8-952789-05-0 (PDF)
Download the Report (PDF)

Video Summary

Key Findings

1

Limiting workers to one trade would have required about 28% to 62% more workdays to finish the same work.

Every project showed an increase. Put the other way, the multiskilled crews finished in about 22% to 38% fewer workdays than the same crews limited to one trade would need.

2

Keeping the recorded schedule instead would have required added workers, most of all on the busiest days.

About 9 to 12 added workers for every 100 core workers on an average day, 17 to 22 on a high-demand day, and 31 to 34 on each project's peak-demand day. Peak staffing would have reached about twice the average, a level prior research associates with productivity losses of about 15% to 20%.

3

Trade gaps would have been a daily problem, not limited to occasional peaks.

At least one trade would have had more work than its workers could cover on about 73% of recorded workdays: nearly three days in four.

4

A good crew makeup helps, but it is not the same as having workers who can move to the trade that is short.

Assigning the same workers to their theoretically optimal trades, chosen with hindsight, reduced these effects but did not remove them. The findings held even when only half of the multiskilling hours were treated as necessary.

These are modeled estimates from labor records, not measured delays or productivity gains.

Recommended Citation

Lines, B., Ogundare, I., Kassa, R., Smithwick, J., & Sullivan, K. (2026). Schedule Duration and Labor-Curve Outcomes. Multiskilling in the U.S. Construction Industry. Report 3 of 6 in Volume 1. Simplar Foundation. https://doi.org/10.22361/vf3qybkgbd

The report may be shared and cited in its complete, unmodified form. See the Copyright and Use section inside the report for full permissions.

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