A Novel Productivity Measure for Steel Fabrication Fitting Process

L. Marshall*, A. Suliman, Z. Lei

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


The fitting station is an important element of the industrial steel fabrication process. The fitting process happens towards the end of the fabrication and has the potential to cause upstream backlogs if productivity is not maintained. Due to the variations of each different assembly, it is difficult to quantify the productivity at the station. To help define an accurate productivity measure at fitting stations, a time study was proposed to collect pertinent data of different fitting processes and define a metric for the productivity. After observing and breaking the process into sequential phases, a productivity dataset was collected, and a correlation analysis was performed between different input variables and time measures. It was determined that the current metric on trial of ‘parts fit per man hour’ was not an accurate representation of the productivity at the fitting station. This metric fails to capture the significant differences between the process when the workers are either bolting, tack welding, or coping the different parts of an assembly. Hence, to account for these differences, it was proposed in this research that the process should be broken down. According to a correlation analysis, it was concluded that the fitting productivity should include the number of bolts, tacked parts, and coping cuts. The corresponding new metric improved the productivity quantification and time estimation by 42% over the trial metric. With these metrics specified, the productivity will be able to be equally determined for each assembly entering the station and will minimize productivity data variations.

Original languageEnglish
Title of host publicationProceedings of the Canadian Society of Civil Engineering Annual Conference 2021
Subtitle of host publicationCSCE21 General Track Volume 2
EditorsScott Walbridge, Mazdak Nik-Bakht, Kelvin Tsun Wai Ng, Manas Shome, M. Shahria Alam, Ashraf el Damatty, Gordon Lovegrove
Place of PublicationSingapore
Number of pages13
ISBN (Electronic)9789811905070
ISBN (Print)9789811905063, 9789811905094
Publication statusPublished - 18 May 2022
Externally publishedYes
EventCanadian Society of Civil Engineering Annual Conference, CSCE 2021 - Virtual, Online
Duration: 26 May 202129 May 2021

Publication series

NameLecture Notes in Civil Engineering
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565


ConferenceCanadian Society of Civil Engineering Annual Conference, CSCE 2021
CityVirtual, Online

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